Usha Desai

989 citations
58 papers · 687 indexed · h-index 14

Usha Desai

48 papers receiving 603 citations

Peers

Usha Desai
Comparison fields: 5 of 117
  • Cardiology and Cardiovascular Medicine 194
  • Cognitive Neuroscience 161
  • Human-Computer Interaction 26
  • Parasitology 31
  • Obstetrics and Gynecology 35
Replace Xiaodan Chen with:
Xiaodan Chen China
Xiaoli Zhong China
Yongjin Wang China
Yudong Zhao China
Hao‐Teng Chang Taiwan
Chi‐Yu Chen Taiwan
Marco Fabiani Italy
Congcong Li China
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Naisha Shah United States
Usha Desai relative to Xiaodan Chen China Xiaodan Chen's profile →
Citations per field
00.5×10.3×
Xiaodan Chen · 1×
Citations per year

Countries citing papers authored by Usha Desai

Since Specialization
Citations

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

Fields of papers citing papers by Usha Desai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Usha Desai, 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 Usha Desai Line = papers co-authored together Usha Desai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20258
2 20250
3 20250
4 20241
5 20240
6 20240
7 20241
8 20231
9 20230
10 20232
11 20221
12 20221
13 201815
14 20175
15 201636
16 20169
17 20169
18 19945
19 19944
20
The lymphatic pathology of Brugia pahangi in nude (athymic) and thymic mice C3H/HeN.
198442

About Usha Desai

Usha Desai is a scholar working on Cognitive Neuroscience, Cardiology and Cardiovascular Medicine, Human-Computer Interaction, Signal Processing and Health Information Management, having authored 58 papers that have together received 687 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (17 papers), ECG Monitoring and Analysis (12 papers), Phonocardiography and Auscultation Techniques (5 papers), Blind Source Separation Techniques (4 papers), Heart Rate Variability and Autonomic Control (4 papers), AI in cancer detection (4 papers), IoT and Edge/Fog Computing (3 papers) and Gaze Tracking and Assistive Technology (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (194 citations), Cognitive Neuroscience (161 citations), Human-Computer Interaction (26 citations), Parasitology (31 citations) and Obstetrics and Gynecology (35 citations). Usha Desai has collaborated with scholars based in India, United States and Greece. Frequent co-authors include C. Gurudas Nayak, Roshan Joy Martis, Peter A. Ward, Alexander D. Vincent, Ann C. Vickery, Henry J. Showell, Wei Hsueh, D. L. Kreutzer, F. González‐Crussi and U. Rajendra Acharya. Their work appears in journals such as CHEST Journal, Scientific Reports, Cancer, American Journal of Obstetrics and Gynecology and Nature.

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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