ADNI ADNI

754 total citations · 1 hit paper
11 papers, 501 citations indexed

About

ADNI ADNI is a scholar working on Computer Vision and Pattern Recognition, Neurology and Psychiatry and Mental health. According to data from OpenAlex, ADNI ADNI has authored 11 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Neurology and 4 papers in Psychiatry and Mental health. Recurrent topics in ADNI ADNI's work include Brain Tumor Detection and Classification (4 papers), Dementia and Cognitive Impairment Research (4 papers) and Medical Image Segmentation Techniques (3 papers). ADNI ADNI is often cited by papers focused on Brain Tumor Detection and Classification (4 papers), Dementia and Cognitive Impairment Research (4 papers) and Medical Image Segmentation Techniques (3 papers). ADNI ADNI collaborates with scholars based in United States, China and France. ADNI ADNI's co-authors include Siqi Liu, Weidong Cai, Dagan Feng, Sidong Liu, Sonia Pujol, Michael Fulham, Ron Kikinis, Kilian M. Pohl, Kayhan Batmanghelich and Christos Davatzikos and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, Journal of Clinical and Experimental Neuropsychology and Lecture notes in computer science.

In The Last Decade

ADNI ADNI

10 papers receiving 489 citations

Hit Papers

Multimodal Neuroimaging F... 2014 2026 2018 2022 2014 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Multimodal Neuroimaging Feature Learning for Multiclass Diagnosis of Alzheimer's Disease
    2014 404 citations Siqi Liu, Sidong Liu et al. IEEE Transactions on Biomedical Engineering profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
ADNI ADNI United States 7 257 180 179 133 116 11 501
Elina Thibeau–Sutre France 6 239 0.9× 205 1.1× 248 1.4× 110 0.8× 130 1.1× 12 613
Jorge Samper‐Gonzàlez France 8 283 1.1× 268 1.5× 246 1.4× 100 0.8× 133 1.1× 10 667
Alexandre Routier France 10 281 1.1× 272 1.5× 251 1.4× 104 0.8× 155 1.3× 15 725
Simona Bottani France 9 304 1.2× 294 1.6× 277 1.5× 115 0.9× 164 1.4× 20 751
Siqi Liu China 5 160 0.6× 102 0.6× 154 0.9× 93 0.7× 110 0.9× 12 507
Diego Castillo-Barnés Spain 12 152 0.6× 95 0.5× 139 0.8× 65 0.5× 80 0.7× 25 462
Kanghan Oh South Korea 9 140 0.5× 100 0.6× 157 0.9× 126 0.9× 94 0.8× 19 461
S Spasov Italy 5 136 0.5× 146 0.8× 131 0.7× 52 0.4× 77 0.7× 9 359
Ramesh Kumar Lama South Korea 10 140 0.5× 111 0.6× 89 0.5× 105 0.8× 73 0.6× 22 391
Yonggui Yang China 7 144 0.6× 103 0.6× 111 0.6× 61 0.5× 111 1.0× 16 355

Countries citing papers authored by ADNI ADNI

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

11 of 11 papers shown
1.
Maddalena, Lucia, Ilaria Granata, Maurizio Giordano, et al.. (2022). Classifying Alzheimer’s Disease using MRIs and Transcriptomic Data. 70–79. 5 indexed citations
2.
ADNI, ADNI, et al.. (2022). Predicting conversion of patients with Mild Cognitive Impairment to Alzheimer’s disease using bedside cognitive assessments. Journal of Clinical and Experimental Neuropsychology. 44(10). 703–712. 7 indexed citations
3.
Hernández, Mónica, et al.. (2020). Analysis of the Influence of Diffeomorphic Normalization in the Prediction of Stable VS Progressive MCI Conversion with Convolutional Neural Networks. Zaguan (University of Zaragoza Repository). 1120–1124. 6 indexed citations
4.
ADNI, ADNI, et al.. (2016). Radial Basis Function Neural Network Based Classifier For Diagnosing Of MCI/AD Using Multimodal Neuroimaging. International journal of scientific and technology research. 5(4). 295–298. 1 indexed citations
5.
Balouchi, Abbas, et al.. (2016). The Relationship between Job Satisfaction and Marital Satisfaction in Nursesworking in Amir Al-Momenin Hospital, Zabol, Iran in 2015. Der pharmacia lettre. 8(13). 251–255. 2 indexed citations
6.
Liu, Siqi, Sidong Liu, Weidong Cai, et al.. (2014). Multimodal Neuroimaging Feature Learning for Multiclass Diagnosis of Alzheimer's Disease. IEEE Transactions on Biomedical Engineering. 62(4). 1132–1140. 404 indexed citations breakdown →
7.
Huang, Lei, Zhifang Pan, Hongtao Lu, & ADNI ADNI. (2013). Automated Diagnosis of Alzheimer's Disease with Degenerate SVM-Based Adaboost. 19. 298–301. 7 indexed citations
8.
Koriťáková, Eva, Maria Vounou, Robin Wolz, et al.. (2012). Biomarker discovery for sparse classification of brain images in Alzheimer's disease. 2012(2). 21 indexed citations
9.
Batmanghelich, Kayhan, et al.. (2011). Disease classification and prediction via semi-supervised dimensionality reduction. PubMed. 2011. 1086–1090. 22 indexed citations
10.
Zhou, Luping, Yaping Wang, Yang Li, et al.. (2011). Hierarchical anatomical brain networks for MCI prediction by partial least square analysis. 3940. 1073–1080. 2 indexed citations
11.
Shen, Li, Qi Yuan, Sungeun Kim, et al.. (2010). Sparse Bayesian Learning for Identifying Imaging Biomarkers in AD Prediction. Lecture notes in computer science. 13(Pt 3). 611–618. 24 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Elina Thibeau–Sutre Breakdown of academic impact, for papers by Jorge Samper‐Gonzàlez Breakdown of academic impact, for papers by Alexandre Routier Breakdown of academic impact, for papers by Simona Bottani Breakdown of academic impact, for papers by Siqi Liu Breakdown of academic impact, for papers by Diego Castillo-Barnés Breakdown of academic impact, for papers by Kanghan Oh Breakdown of academic impact, for papers by S Spasov Breakdown of academic impact, for papers by Ramesh Kumar Lama Breakdown of academic impact, for papers by Yonggui Yang
Rankless by CCL
2026