Ashok Gowda

55 papers receiving 2.7k citations

Peers

Ashok Gowda
Comparison fields: 5 of 120
  • Psychiatry and Mental health 536
  • Genetics 374
  • Radiology, Nuclear Medicine and Imaging 423
  • Biophysics 117
  • Neurology 242
Replace R. Schober with:
R. Schober Germany
Marco Schiariti Italy
Daniel J. Stuckey United Kingdom
Alexandre Carpentier France
Bogusław Tomanek Canada
Olav Mella Norway
Joseph M. Piepmeier United States
Deborah Burstein United States
W. Lanksch Germany
Jinna Kim South Korea
Ashok Gowda relative to R. Schober Germany R. Schober's profile →
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Citations per year

Countries citing papers authored by Ashok Gowda

Since Specialization
Citations

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

Fields of papers citing papers by Ashok Gowda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012302
2 2014287
3 2008195
4 2004190
5 2011188
6 2012185
7 2012169
8 2008158
9 2006131
10 2014120
11 200470
12 201764
13 201063
14 201557
15 200553
16 200352
17 200449
18 201048
19 201046
20 200646

About Ashok Gowda

Ashok Gowda is a scholar working on Biomedical Engineering, Surgery, Biophysics, Electrical and Electronic Engineering and Epidemiology, having authored 57 papers that have together received 2.8k indexed citations. Recurring topics across this work include Shoulder Injury and Treatment (7 papers), Photoacoustic and Ultrasonic Imaging (6 papers), Spectroscopy Techniques in Biomedical and Chemical Research (5 papers), Diabetes Management and Research (4 papers), Electrochemical sensors and biosensors (4 papers), Infrared Thermography in Medicine (4 papers), Optical Coherence Tomography Applications (4 papers) and Shoulder and Clavicle Injuries (4 papers). The work is most often cited by research in Psychiatry and Mental health (536 citations), Genetics (374 citations), Radiology, Nuclear Medicine and Imaging (423 citations), Biophysics (117 citations) and Neurology (242 citations). Ashok Gowda has collaborated with scholars based in United States, India and France. Frequent co-authors include Roger J. McNichols, Daniel J. Curry, Angus A. Wilfong, Ralph Ballerstädt, R. Jason Stafford, John D. Hazle, Anil Shetty, James A. Bankson, Marko Kangasniemi and D. Reizine. Their work appears in journals such as Lasers in Surgery and Medicine, Journal of Diabetes Science and Technology, Diabetes Technology & Therapeutics, Biosensors and Bioelectronics and International Journal of Hyperthermia.

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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