S Gowrishankar

581 citations
59 papers · 340 · h-index 10

Impact in

Papers in

S Gowrishankar

40 papers receiving 302 citations

Peers

S Gowrishankar
Comparison fields: 5 of 79
  • Computer Networks and Communications 132
  • Health Informatics 4
  • Plant Science 80
  • Health Information Management 9
  • Analytical Chemistry 18
Replace Sathish Kumar Selvaperumal with:
Sathish Kumar Selvaperumal Malaysia
P Nandhini India
B. Karthik India
Ravi Gatti India
K. Suganthi India
Rizwan Majeed Pakistan
Yaodong Zhu China
Kavita Pandey India
S. Hemalatha India
Muhammad Shafay United Arab Emirates
S Gowrishankar relative to Sathish Kumar Selvaperumal Malaysia Sathish Kumar Selvaperumal's profile →
Citations per field
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Citations per year

Countries citing papers authored by S Gowrishankar

Since Specialization
Citations

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

Fields of papers citing papers by S Gowrishankar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202343
2
Effect of Random Mobility Models Pattern in Mobile Ad hoc Networks
200740
3 200831
4 200929
5 202320
6 202019
7 201719
8 200918
9 202010
10 20229
11 20229
12 20237
13 20197
14 20227
15 20227
16 20157
17 20235
18 20224
19 20244
20 20094

About S Gowrishankar

S Gowrishankar is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Health Information Management and Plant Science, having authored 59 papers that have together received 340 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (7 papers), Smart Agriculture and AI (7 papers), Mobile Ad Hoc Networks (6 papers), Energy Efficient Wireless Sensor Networks (4 papers), Retinal Imaging and Analysis (3 papers), Digital Imaging for Blood Diseases (3 papers), Advanced Neural Network Applications (3 papers) and Remote Sensing in Agriculture (3 papers). The work is most often cited by research in Computer Networks and Communications (132 citations), Health Informatics (4 citations), Plant Science (80 citations), Health Information Management (9 citations) and Analytical Chemistry (18 citations). S Gowrishankar has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include T. G. Basavaraju, Subir Kumar Sarkar, P. Satyanarayana, Farhan Khalid, Alexander M.C. Goodson, Venkatesh L. Hegde, E. Mark Williams, Arpan Tahim, S. Parmar and Siva Ganesh. Their work appears in journals such as Multimedia Tools and Applications, British Journal of Oral and Maxillofacial Surgery, IEEE Access, Psycho-Oncology and IEEE Transactions on Applied Superconductivity.

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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