Harini Eavani

638 citations
13 papers · 444 · h-index 9

Impact in

Papers in

Harini Eavani

13 papers receiving 435 citations

Peers

Harini Eavani
Comparison fields: 5 of 68
  • Cognitive Neuroscience 273
  • Radiology, Nuclear Medicine and Imaging 172
  • Computational Mathematics 4
  • Psychiatry and Mental health 38
  • Artificial Intelligence 94
Replace Elvis Dohmatob with:
Elvis Dohmatob France
Biao Cai United States
Roman Filipovych United States
Andrew Michael United States
Tabinda Sarwar Australia
Rogers F. Silva United States
Maite Termenón Spain
JungHoe Kim South Korea
Salim Arslan United Kingdom
Yassine Benhajali Canada
Harini Eavani relative to Elvis Dohmatob France Elvis Dohmatob's profile →
Citations per field
00.5×1.5×1.9×
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Citations per year

Countries citing papers authored by Harini Eavani

Since Specialization
Citations

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

Fields of papers citing papers by Harini Eavani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Harini Eavani, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Harini Eavani Line = papers co-authored together Harini Eavani links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 202084
2 201483
3 201370
4 201860
5 201451
6 201227
7 201521
8 201114
9 201111
10 20149
11 20167
12 20135
13 20132

About Harini Eavani

Harini Eavani is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Computational Mathematics, Signal Processing and Artificial Intelligence, having authored 13 papers that have together received 444 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (9 papers), Neural dynamics and brain function (7 papers), Advanced MRI Techniques and Applications (4 papers), Advanced Neuroimaging Techniques and Applications (4 papers), EEG and Brain-Computer Interfaces (2 papers), Fetal and Pediatric Neurological Disorders (1 paper), RNA regulation and disease (1 paper) and Natural Language Processing Techniques (1 paper). The work is most often cited by research in Cognitive Neuroscience (273 citations), Radiology, Nuclear Medicine and Imaging (172 citations), Computational Mathematics (4 citations), Psychiatry and Mental health (38 citations) and Artificial Intelligence (94 citations). Harini Eavani has collaborated with scholars based in United States and France. Frequent co-authors include Christos A. Davatzikos, Theodore Daniel Satterthwaite, Ruben C. Gur, Raquel E. Gur, Roman Filipovych, Zhiyu Chen, William Yang Wang, Nicolas Honnorat, Wenhu Chen and Yinyin Liu. Their work appears in journals such as NeuroImage, Neurobiology of Aging, Lecture notes in computer science, PubMed and Elsevier eBooks.

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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