ADNI ADNI
- Neurology top 5%
- Psychiatry and Mental health top 10%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Siqi LiuWeidong CaiMichael FulhamSonia PujolSidong LiuDagan FengRon KikinisKayhan Batmanghelich
- Topics
- Brain Tumor Detection and Classification (4 papers)Dementia and Cognitive Impairment Research (4 papers)Medical Image Segmentation Techniques (3 papers)
- Journals
- IEEE Transactions on Biomedical EngineeringJournal of Clinical and Experimental NeuropsychologyLecture notes in computer science
- Partner nations
- United StatesChinaAustralia
In The Last Decade
ADNI ADNI
10 papers receiving 489 citations
Hit Papers
Peers
Comparison fields: 5 of 67
- Neurology 257
- Psychiatry and Mental health 180
- Artificial Intelligence 179
- Computer Vision and Pattern Recognition 133
- Radiology, Nuclear Medicine and Imaging 116
Countries citing papers authored by ADNI ADNI
This map shows the geographic impact of ADNI ADNI's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by ADNI ADNI with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites ADNI ADNI more than expected).
Fields of papers citing papers by ADNI ADNI
This network shows the impact of papers produced by ADNI ADNI. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by ADNI ADNI. The network helps show where ADNI ADNI may publish in the future.
Co-authorship network of co-authors of ADNI ADNI
This figure shows the co-authorship network connecting the top 25 collaborators of ADNI ADNI. A scholar is included among the top collaborators of ADNI ADNI based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with ADNI ADNI. ADNI ADNI is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 5 | |
| 3 | 6 | |
| 4 | The Relationship between Job Satisfaction and Marital Satisfaction in Nursesworking in Amir Al-Momenin Hospital, Zabol, Iran in 2015 | 2 |
| 5 | Radial Basis Function Neural Network Based Classifier For Diagnosing Of MCI/AD Using Multimodal Neuroimaging | 1 |
| 6 | Multimodal Neuroimaging Feature Learning for Multiclass Diagnosis of Alzheimer's Diseasebreakdown → | 404 |
| 7 | 7 | |
| 8 | Biomarker discovery for sparse classification of brain images in Alzheimer's disease | 21 |
| 9 | 22 | |
| 10 | 2 | |
| 11 | 24 |
About ADNI ADNI
ADNI ADNI is a scholar working on Neurology, Psychiatry and Mental health and Computer Vision and Pattern Recognition, having authored 11 papers that have together received 501 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (4 papers), Dementia and Cognitive Impairment Research (4 papers) and Medical Image Segmentation Techniques (3 papers). The work is most often cited by research in Neurology (257 citations), Health Informatics (21 citations) and Health Information Management (55 citations). ADNI ADNI has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Siqi Liu, Weidong Cai, Michael Fulham, Sonia Pujol, Sidong Liu, Dagan Feng, Ron Kikinis, Kayhan Batmanghelich, Kilian M. Pohl and Ben Taskar. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Journal of Clinical and Experimental Neuropsychology and Lecture notes in computer science.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.