01Research activity
Alzheimer's Disease research by ScholarsColab researchers
What researchers combine with Alzheimer's Disease
Words that appear most often in these paper titles. Tap one to see those papers.
Recent focus (2024 onwards): learning, detection, deep, machine, network, classification.
02Researchers
PhD researchers working on Alzheimer's Disease
Every researcher below is registered on ScholarsColab and can be hired as a mentor or for a project. Publication counts are their papers on this topic.
03Papers
Research papers on Alzheimer's Disease
- Transfer learning assisted classification and detection of Alzheimer’s disease stages using 3D MRI scans2019275 citationsSensorsFarhan Aadil
- A deep learning framework with an embedded-based feature selection approach for the early detection of the Alzheimer's disease2022141 citationsComputers in Biology and MedicineP M Durai Raj Vincent
- Extracting salient features for EEG-based diagnosis of Alzheimer's disease using support vector machine classifier2017119 citationsIETE Journal of ResearchV K Bairagi
- AlzVNet: A volumetric convolutional neural network for multiclass classification of Alzheimer’s disease through multiple neuroimaging computational approaches202279 citationsBiomedical Signal Processing and ControlShamik Tiwari
- Identification of diagnostic genes for both Alzheimer’s disease and Metabolic syndrome by the machine learning algorithm202277 citationsFrontiers in ImmunologyLiu Quan
- Diagnosis and detection of Alzheimer's disease using learning algorithm202359 citationsBig Data Mining and AnalyticsAnkit Kumar
- Alzheimer’s disease detection from fused PET and MRI modalities using an ensemble classifier202357 citationsMachine Learning and Knowledge ExtractionShamik Tiwari
- Improving the classification of alzheimer’s disease using hybrid gene selection pipeline and deep learning202144 citationsFrontiers in GeneticsP M Durai Raj Vincent
- Multimodal Neuroimaging Data in Early Detection of Alzheimer's Disease: Exploring the Role of Ensemble Models and GAN Algorithm202336 citationsNarayan Vyas
- Connected Speech Characteristics of Bengali Speakers With Alzheimer's Disease: Evidence for Language-Specific Diagnostic Markers202134 citationsFrontiers in Aging NeuroscienceNiladri Sekhar Dash
- Unveiling the impact of aging on BBB and Alzheimer's disease: Factors and therapeutic implications202432 citationsAgeing Research ReviewsNalini Kanta Sahoo
- Synthesis of brominated 2-phenitidine derivatives as valuable inhibitors of cholinesterases for the treatment of Alzheimer’s disease201431 citationsSyeda Abida Ejaz
- Dynamic causal modeling of preclinical autosomal-dominant Alzheimer’s disease201828 citationsJournal of Alzheimer's DiseaseJorge Iglesias-Fuster
- Neuroprotective effects of riluzole in Alzheimer's disease: A comprehensive review202427 citationsFundamental and Clinical PharmacologyJitendra Malviya
- Dementia Identification for Diagnosing Alzheimer's Disease using XGBoost Algorithm202124 citationsFerdib-Al-Islam
- Recent advances in drug delivery systems targeting insulin signalling for the treatment of Alzheimer’s disease202423 citationsJournal of Alzheimer's DiseaseNalini Kanta Sahoo
- A systematic survey of advances in retinal imaging modalities for Alzheimer’s disease diagnosis202221 citationsMetabolic Brain DiseaseDr. Sakshi Arora
- Deep belief network-based approach for detecting Alzheimer's disease using the multi-omics data202320 citationsComputational and Structural Biotechnology JournalP M Durai Raj Vincent
- Structural biomarker‐based Alzheimer's disease detection via ensemble learning techniques202418 citationsInternational Journal of Imaging Systems and TechnologyShamik Tiwari
- Multi-class classification of Alzheimer’s disease through distinct neuroimaging computational approaches using Florbetapir PET scans202318 citationsEvolving SystemsShamik Tiwari
- Network pharmacology-based prediction and experimental validation of Mimosa pudica for Alzheimer's disease202017 citationsDr. Kirankumar Hullatti
- Importance of task selection for connected speech analysis in patients with Alzheimer’s disease from an ethnically diverse sample202217 citationsJournal of Alzheimer's DiseaseNiladri Sekhar Dash
- Analyzing subcortical structures in Alzheimer's disease using ensemble learning202416 citationsBiomedical Signal Processing and ControlShamik Tiwari
- Unraveling the mechanisms of NK cell dysfunction in aging and Alzheimer’s disease: insights from GWAS and single-cell transcriptomics202416 citationsFrontiers in ImmunologyLiu Quan
- Pristine 2-chloroquinoline-based-thiosemicarbazones as multitarget agents against alzheimer's disease: In vitro and in silico studies of monoamine oxidase (MAO) and …202415 citationsJournal of Molecular StructureSyeda Abida Ejaz
- Analyzing electroencephalograph signals for early Alzheimer's disease detection: deep learning vs. traditional machine learning approaches.202411 citationsInternational Journal of Electrical and Computer EngineeringV K Bairagi
- Identifying key genetic variants in Alzheimer’s disease progression using Graph Convolutional Networks (GCN) and biological impact analysis202511 citationsJournal of Big DataTarek Abd El-Hafeez
- Prediction of Alzheimer's disease using LeNet-CNN model with optimal adaptive bilateral filtering20239 citationsInternational Journal of Communication Networks and Information SecurityDr. V. Gokula Krishnan
- Deep Learning in Smart Healthcare: A GAN-based Approach for Imbalanced Alzheimer's Disease Classification20249 citationsProcedia computer scienceAbdul Ahad
- IN SILICO DOCKING STUDIES OF SOME FLAVONOIDS AGAINST MULTIPLE TARGETS OF ALZHEIMER’S DISEASE20208 citationsPlant ArchivesAjmer Singh Grewal
- Universal and Language-Specific Connected Speech Characteristics of Bilingual Speakers With Alzheimer's Disease: Insights From Case Studies of Structurally Distinct Languages20246 citationsJournal of Speech, Language, and Hearing ResearchNiladri Sekhar Dash
- Detection of alzheimer's disease in mri images using different transfer learning models and improving the classification accuracy20226 citationsInternational Journal of Health SciencesDr Rajendiran Muthusamy
- Use of Deep Learning Techniques in Alzheimer's Disease Diagnosis20236 citationsMirza Shuja
- An overview on pathophysiology and therapeutic approaches of Alzheimer's disease and Parkinson's disease20244 citationsDr. Krishnendu Adhikary
- Marine-derived Compounds: A Powerful Platform for the Treatment of Alzheimer's Disease20244 citationsAjmer Singh Grewal
- Machine Learning-Based Alzheimer's Disease Prediction using Textual Data20234 citationsP. Jayadharshini
- ViT-ALZ: Vision Transformer with Deep Neural Network for Alzheimer’s Disease Detection20244 citationsHemant Kumar
- Machine Learning based Detection of Alzheimer's disease in MRI images.20224 citationsJournal of Pharmaceutical Negative ResultsDr Rajendiran Muthusamy
- Chapter five-classification algorithms in diagnosis of Alzheimer's disease20183 citationsV K Bairagi
- Ensemble-based Gene Selection and an Enhanced Deep Multi-Layer Perceptron-based Classification Model for Classifying Alzheimer's disease20223 citationsP M Durai Raj Vincent
- Prediction of Alzheimer's Disease Progression Using Longitudinal Brain MRI Data and GANs20233 citationsDr. Saroj Kumar Pandey
- Alzheimer’s Disease Prediction using ANOVA with t-SNE Feature Selection Techniques and Ensemble Learning20252 citationsJournal of Advanced Research DesignFerdib-Al-Islam
- Alzheimer’s Disease Classification via Pre-trained Convolutional Neural Network Variants Utilizing Multi-level Thresholding based on Kapur’s Entropy20242 citationsP M Durai Raj Vincent
- Artificial Intelligence for Predicting Progression and Personalizing Healthcare to Alzheimer's Disease Patients20252 citationsVijaya Kittu Manda
- Diagnosis of Alzheimer’s Disease, Parkinson’s Disease, Frontotemporal Dementia, and Paranoid Schizophrenia via Complex Network Analysis of EEG Data20252 citationsPrecision NanomedicineMiguel Angel Vargas Cruz
- AI-Driven Alzheimer's Disease Detection and Prediction20241 citationsNarayan Vyas
- A Novel Prediction of Alzheimer’s Disease by using Artificial Intelligence20231 citationsDr. V. Gokula Krishnan
- Deep Learning-Based Diagnostic Models for Early Detection of Alzheimer's Disease Using MRI and Genetic Data.20241 citationsFrontiers in Health InformaticsMohit Tiwari
- Challenges in Management of Elderly and Frail Alzheimer’s Disease Patients20241 citationsPerspectiveKaushik Bharati
- An efficient multiclass classifier for classification of Alzheimer's disease/mild cognitive impairment/Normal subjects20221 citationsInternational Journal of Imaging Systems and TechnologySanjay Agrawal
- Machine Learning for Dementia and Alzheimer’s Disease Prediction20241 citationsRoseline Oluwaseun Ogundokun
- Metabolic connections between Alzheimer's disease and diabetes20260 citationsDr. Krishnendu Adhikary
- Classification and diagnosis of Alzheimer's disease using magnetic resonance imaging20230 citationsAI and IoT-Based Intelligent Health Care & SanitationKaushalendra kumar
- International Journal of Alzheimer's Disease Research0 citationsKaushik Bharati
- Ensemble Learning Approaches for Early and Accurate Detection of Alzheimer’s disease20250 citationsDr Gnanajeyaraman Rajaram
- An efficient multiclass classifier for classification of Alzheimer's disease/mild cognitive impairment/Normal0 citationsSanjay Agrawal
- Developing a classification model for Alzheimer’s disease phases using the architecture of generative adversarial networks20240 citationsDr. Sathyapriya L
- Detection and Classification of Alzheimer’s Disease Using Deep and Machine Learning20250 citationsTomographyDr. Jawwad Sami Ur Rahman
- A Systematic Review of Deep Learning Models and Multimodal Fusion Techniques for Alzheimer’s Disease Prediction20250 citationsNIPES JSTR SPECIAL ISSUERoseline Oluwaseun Ogundokun
- Inhibition of secretase: A promising technique for Alzheimer's disease patients20230 citationsALOKE SAHA
- Predictive modeling of Alzheimer’s disease using MRI images and machine learning algorithms20260 citationsFarah Jemili
- Enhanced Classification of Alzheimer’s Disease Using Advanced Machine Learning Models on Radiomics Features from 3D MRI20260 citationsHemant Kumar
- Detection of Alzheimer’s disease Using GLCM Feature Extraction Method20220 citationsDr Rajendiran Muthusamy
- Classification of Alzheimer’s disease Using DBN, SVM and Random Forest Models20220 citationsNeuroQuantologyDr Rajendiran Muthusamy
- AD_NET: AN EFFICIENT ENSEMBLE MODEL FOR CLASSIFICATION AND RECOGNITION OF ALZHEIMER'S DISEASES USING MRI IMAGES0 citationsDr Rajendiran Muthusamy
04Journals
Journals that publish Alzheimer's Disease research
Where our researchers published their papers on this topic, with each journal’s indexing.
| Journal | Indexing | Impact factor* | Papers |
|---|---|---|---|
| Journal of Alzheimer's Disease | Scopus | 3.12 Q2 | 3 |
| International Journal of Imaging Systems and Technology | SCIEScopusJCR 2024 | 2.85 Q2 | 2 |
| Biomedical Signal Processing and Control | SCIEScopusJCR 2024 | 5.13 Q2 | 2 |
| Frontiers in Immunology | SCIEScopusJCR 2024 | 5.57 Q1 | 2 |
| IETE Journal of Research | SCIEScopusJCR 2024 | 1.66 Q3 | 1 |
| International Journal of Electrical and Computer Engineering | Scopus | 0.00 | 1 |
| Sensors | SCIEScopusJCR 2024 | 5.82 Q1 | 1 |
| Journal of Molecular Structure | SCIEScopusJCR 2024 | 5.52 Q2 | 1 |
| Ageing Research Reviews | SCIEScopusJCR 2024 | 16.6 Q1 | 1 |
| Journal of Advanced Research Design | Scopus | 0.81 | 1 |
| Plant Archives | Scopus | 0.17 | 1 |
| International Journal of Communication Networks and Information Security | Scopus | 1.65 | 1 |
| Computers in Biology and Medicine | SCIEScopusJCR 2024 | 8.77 Q1 | 1 |
| Frontiers in Genetics | SCIEScopusJCR 2024 | 2.98 Q2 | 1 |
| Computational and Structural Biotechnology Journal | SCIEScopusJCR 2024 | 6.83 Q1 | 1 |
*Impact factor and quartile calculated from OpenAlex open data where available; official Journal Impact Factors are published by Clarivate. Indexing from the SCIE, SSCI, AHCI, ESCI, Scopus and JCR 2024 lists. Find the right journal for your own paper →
05Top 2% scientists
World’s Top 2% scientists in Neurology & Neurosurgery
The Stanford/Elsevier World’s Top 2% Scientists list ranks researchers by a composite citation indicator. Neurology & Neurosurgery is the research subfield closest to Alzheimer's Disease in that list; 7,826 researchers from 65 countries are listed in it.
| Researcher | Institution | Country | World rank |
|---|---|---|---|
| Friston, K. J. | UCL Queen Square Institute of Neurology | United Kingdom | 5 |
| McEwen, Bruce S. | Rockefeller University | United States | 8 |
| Mattson, Mark P. | Johns Hopkins University School of Medicine | United States | 25 |
| Selkoe, Dennis J. | Brigham and Women's Hospital | United States | 41 |
| Petersen, Ronald C. | Mayo Clinic in Rochester, Minnesota | United States | 66 |
| Reíter, Rüssel J. | The University of Texas Health Science Center at San Antonio | United States | 67 |
| Cummings, Jeffrey L. | Cleveland Clinic Lerner College of Medicine of Case Western Reserve University | United States | 77 |
| Koob, George F. | National Institute on Drug Abuse (NIDA) | United States | 80 |
| Buzsáki, Gÿorgy | NYU Grossman School of Medicine | United States | 108 |
| Jankovic, Joseph J. | Baylor College of Medicine | United States | 115 |
| Südhof, Thomas Christian | Stanford University School of Medicine | United States | 117 |
| Nestler, Eric J. | Icahn School of Medicine at Mount Sinai | United States | 124 |
Source: Elsevier Data Repository, Ioannidis et al., 2026 edition, citations to the end of 2025 (career-long ranking). ScholarsColab is not affiliated with Stanford University or Elsevier, and the researchers listed are not ScholarsColab mentors unless marked so above.
06Related topics
Topics related to Alzheimer's Disease
Topics that share the most papers with Alzheimer's Disease in our researchers’ work:
- Parkinson’s Disease35 papers · 26 researchers
- Deep Learning (DL)968 papers · 331 researchers
- Machine Learning (ML)1,348 papers · 424 researchers
- Electroencephalography (EEG)101 papers · 44 researchers
- Machine Learning Algorithms117 papers · 80 researchers
- Neural Network819 papers · 267 researchers
- Healthcare445 papers · 205 researchers
- Artificial Intelligence (AI)1,196 papers · 404 researchers
07Questions
Frequently asked questions
What do researchers study in Alzheimer's Disease?
In papers by ScholarsColab researchers, Alzheimer's Disease appears most often together with learning, classification, detection, model, deep, machine. Work since 2024 focuses most on learning, detection, deep, machine.
Who works on Alzheimer's Disease research?
37 PhD researchers on ScholarsColab have published on Alzheimer's Disease (65 papers), including P M Durai Raj Vincent, Shamik Tiwari, Dr Rajendiran Muthusamy. Each has a public profile with their Google Scholar publications, and you can hire them as a mentor or for a research project.
Which journals publish Alzheimer's Disease research?
Our researchers published their Alzheimer's Disease papers in 33 journals, most often in Journal of Alzheimer's Disease, International Journal of Imaging Systems and Technology, Biomedical Signal Processing and Control, Frontiers in Immunology. The journal table on this page shows the indexing of each one (SCIE, Scopus, ESCI).
How many research papers on Alzheimer's Disease are on ScholarsColab?
65 papers published between 2014 and 2026, cited 1,353 times in total (median 6 citations per paper). The list updates automatically as researchers join and publish.
Can I hire a PhD expert in Alzheimer's Disease for my thesis or paper?
Yes. Open any researcher profile on this page to see their publications, then post your project or hire them directly. For a paper you have already written, a Manuscript Audit by a reviewer in Alzheimer's Disease shows what to fix before you submit, and Journal Selection shortlists up to five journals that match it.
Need a PhD expert in Alzheimer's Disease?
Hire a researcher who has published on this topic to guide your thesis or project, or get your manuscript audited and matched to the right journal before you submit.
