Elaheh Moradi

1.5k citations
13 papers · 810 indexed · 1 hit paper · h-index 7
Topics
Dementia and Cognitive Impairment Research (4 papers)Alzheimer's disease research and treatments (3 papers)Face and Expression Recognition (3 papers)
Journals
SHILAP Revista de lepidopterologíaNeuroImageNeurobiology of Aging
Partner nations
FinlandSpainGermany

In The Last Decade

Elaheh Moradi

11 papers receiving 792 citations

Hit Papers

Machine learning framework for early MRI-based Alzheimer'...20142026201820222014100200300400

Peers

Elaheh Moradi
Comparison fields: 5 of 101
  • Psychiatry and Mental health 370
  • Cognitive Neuroscience 264
  • Neurology 246
  • Artificial Intelligence 191
  • Physiology 154
Replace Antonietta Pepe with:
Antonietta Pepe France
Junhao Wen United States
Alexandre Routier France
Jorge Samper‐Gonzàlez France
Simona Bottani France
Marie-Odile Habert France
Muhammad Naveed Iqbal Qureshi South Korea
Elina Thibeau–Sutre France
Katherine R. Gray United Kingdom
Danni Cheng China
Elaheh Moradi relative to Antonietta Pepe France Antonietta Pepe's profile →
Citations per field
00.5×1.6×
Antonietta Pepe · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 0
3 5
4 6
5 6
6 3
7 8
8 26
9 71
10 123
11 62
12
Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjectsbreakdown →
492
13 8

About Elaheh Moradi

Elaheh Moradi is a scholar working on Neurology, Psychiatry and Mental health and Cognitive Neuroscience, having authored 13 papers that have together received 810 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (4 papers), Alzheimer's disease research and treatments (3 papers) and Face and Expression Recognition (3 papers). The work is most often cited by research in Neurology (246 citations), Psychiatry and Mental health (370 citations) and Health Information Management (65 citations). Elaheh Moradi has collaborated with scholars based in Finland, Spain and Germany. Frequent co-authors include Jussi Tohka, Heikki Huttunen, Christian Gaser, Antonietta Pepe, Ilona Hallikainen, Tuomo Hänninen, Alan C. Evans, Budhachandra Khundrakpam, John D. Lewis and Matti Nykter. Their work appears in journals such as SHILAP Revista de lepidopterología, NeuroImage and Neurobiology of Aging.

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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