Elaheh Moradi

1.5k total citations · 1 hit paper
13 papers, 810 citations indexed

About

Elaheh Moradi is a scholar working on Psychiatry and Mental health, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Elaheh Moradi has authored 13 papers receiving a total of 810 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Psychiatry and Mental health, 3 papers in Molecular Biology and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Elaheh Moradi's work include Dementia and Cognitive Impairment Research (4 papers), Alzheimer's disease research and treatments (3 papers) and Face and Expression Recognition (3 papers). Elaheh Moradi is often cited by papers focused on Dementia and Cognitive Impairment Research (4 papers), Alzheimer's disease research and treatments (3 papers) and Face and Expression Recognition (3 papers). Elaheh Moradi collaborates with scholars based in Finland, Spain and Germany. Elaheh Moradi's co-authors include Jussi Tohka, Heikki Huttunen, Christian Gaser, Antonietta Pepe, Tuomo Hänninen, Ilona Hallikainen, Budhachandra Khundrakpam, Alan C. Evans, John D. Lewis and Matti Nykter and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Neurobiology of Aging.

In The Last Decade

Elaheh Moradi

11 papers receiving 792 citations

Hit Papers

Machine learning framework for early MRI-based Alzheimer'... 2014 2026 2018 2022 2014 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elaheh Moradi Finland 7 370 264 246 191 154 13 810
Antonietta Pepe France 9 276 0.7× 287 1.1× 210 0.9× 166 0.9× 106 0.7× 17 719
Junhao Wen United States 11 311 0.8× 196 0.7× 301 1.2× 268 1.4× 108 0.7× 30 883
Alexandre Routier France 10 272 0.7× 156 0.6× 281 1.1× 251 1.3× 78 0.5× 15 725
Simona Bottani France 9 294 0.8× 152 0.6× 304 1.2× 277 1.5× 78 0.5× 20 751
Jorge Samper‐Gonzàlez France 8 268 0.7× 145 0.5× 283 1.2× 246 1.3× 71 0.5× 10 667
Marie-Odile Habert France 6 483 1.3× 381 1.4× 352 1.4× 185 1.0× 241 1.6× 7 1.0k
Katherine R. Gray United Kingdom 10 293 0.8× 137 0.5× 226 0.9× 129 0.7× 123 0.8× 19 646
Alberto Redolfi Italy 18 330 0.9× 268 1.0× 204 0.8× 115 0.6× 226 1.5× 47 898
Muhammad Naveed Iqbal Qureshi South Korea 12 353 1.0× 516 2.0× 179 0.7× 139 0.7× 246 1.6× 21 942
Marianna La Rocca Italy 14 153 0.4× 177 0.7× 138 0.6× 122 0.6× 92 0.6× 51 716

Countries citing papers authored by Elaheh Moradi

Since Specialization
Citations

This map shows the geographic impact of Elaheh Moradi'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 Elaheh Moradi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elaheh Moradi more than expected).

Fields of papers citing papers by Elaheh Moradi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elaheh Moradi. 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 Elaheh Moradi. The network helps show where Elaheh Moradi may publish in the future.

Co-authorship network of co-authors of Elaheh Moradi

This figure shows the co-authorship network connecting the top 25 collaborators of Elaheh Moradi. A scholar is included among the top collaborators of Elaheh Moradi 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 Elaheh Moradi. Elaheh Moradi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Sharma, Gaurav Kumar, et al.. (2025). Federated Learning for Predicting Mild Cognitive Impairment to Dementia Conversion. PubMed. 2025. 1–7.
3.
Moradi, Elaheh, et al.. (2024). Multi-objective genetic algorithm for multi-view feature selection. Applied Soft Computing. 167. 112332–112332. 5 indexed citations
4.
Moradi, Elaheh, Mithilesh Prakash, Anette Hall, et al.. (2024). Machine learning prediction of future amyloid beta positivity in amyloid-negative individuals. Alzheimer s Research & Therapy. 16(1). 46–46. 6 indexed citations
5.
Moradi, Elaheh, Hanna E. Rauhala, William B. Isaacs, et al.. (2023). Identification of long noncoding RNAs with aberrant expression in prostate cancer metastases. Endocrine Related Cancer. 30(8). 6 indexed citations
6.
Moradi, Elaheh, Javad Feizy, & R. Lakshmipathy. (2021). Microencapsulation of saffron pollen extract by spray drying to preserve its nutritional properties. SHILAP Revista de lepidopterología. 3 indexed citations
7.
Moradi, Elaheh, Mikael Marttinen, Tomi Häkkinen, Mikko Hiltunen, & Matti Nykter. (2019). Supervised pathway analysis of blood gene expression profiles in Alzheimer's disease. Neurobiology of Aging. 84. 98–108. 8 indexed citations
8.
Karvonen, Hanna, David Chiron, Wilhelmiina Niininen, et al.. (2017). Crosstalk between ROR1 and BCR pathways defines novel treatment strategies in mantle cell lymphoma. Blood Advances. 1(24). 2257–2268. 26 indexed citations
9.
Tohka, Jussi, et al.. (2016). Comparison of Feature Selection Techniques in Machine Learning for Anatomical Brain MRI in Dementia. Neuroinformatics. 14(3). 279–296. 71 indexed citations
10.
Moradi, Elaheh, Ilona Hallikainen, Tuomo Hänninen, & Jussi Tohka. (2016). Rey's Auditory Verbal Learning Test scores can be predicted from whole brain MRI in Alzheimer's disease. NeuroImage Clinical. 13. 415–427. 123 indexed citations
11.
Moradi, Elaheh, Budhachandra Khundrakpam, John D. Lewis, Alan C. Evans, & Jussi Tohka. (2016). Predicting symptom severity in autism spectrum disorder based on cortical thickness measures in agglomerative data. NeuroImage. 144(Pt A). 128–141. 62 indexed citations
12.
Moradi, Elaheh, Antonietta Pepe, Christian Gaser, Heikki Huttunen, & Jussi Tohka. (2014). Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects. NeuroImage. 104. 398–412. 492 indexed citations breakdown →
13.
Moradi, Elaheh, Jussi Tohka, & Christian Gaser. (2014). Semi-supervised learning in MCI-to-ad conversion prediction — When is unlabeled data useful?. 1–4. 8 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.

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