Sathish Kumar

67 papers receiving 1.7k citations

Sathish Kumar's Hit Papers

A review of topic modeling methods 2020 · 411 citations
4110+2+4Years since publication100200300400

Peers

Sathish Kumar
Comparison fields: 5 of 171
  • General Social Sciences 75
  • Computer Networks and Communications 448
  • Information Systems 385
  • Signal Processing 146
  • Molecular Medicine 60
Replace Xiaohua Hu with:
Xiaohua Hu United States
Florentino Fdez‐Riverola Spain
Rozita Dara Canada
Ting Wang China
Ying Zhao United States
Pushpak Bhattacharyya India
Yue Lu China
Jinwook Seo South Korea
Mohammad Al Hasan United States
Gabriela Ochoa United Kingdom
Sathish Kumar relative to Xiaohua Hu United States Xiaohua Hu's profile →
Citations per field
00.5×10×15×18.8×
Xiaohua Hu · 1×
Citations per year

Countries citing papers authored by Sathish Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Sathish Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A review of topic modeling methods
Hit paper breakdown →
2020411
2 2016174
3 2018102
4 201696
5 201173
6 201861
7 201761
8 201652
9 201347
10 201046
11 201739
12 201235
13 201434
14 202129
15 201929
16 201428
17 201527
18 201927
19 196021
20 202021

About Sathish Kumar

Sathish Kumar is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Molecular Biology and Signal Processing, having authored 70 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (7 papers), Bacterial Genetics and Biotechnology (6 papers), Antibiotic Resistance in Bacteria (5 papers), IoT and Edge/Fog Computing (5 papers), Advanced Malware Detection Techniques (5 papers), Network Security and Intrusion Detection (5 papers), Public Relations and Crisis Communication (4 papers) and Cloud Data Security Solutions (4 papers). The work is most often cited by research in General Social Sciences (75 citations), Computer Networks and Communications (448 citations), Information Systems (385 citations), Signal Processing (146 citations) and Molecular Medicine (60 citations). Sathish Kumar has collaborated with scholars based in United States, India and Israel. Frequent co-authors include Harshit Srivastava, Hanna Engelberg–Kulka, Shangguang Wang, Pethuru Raj Chelliah, Ao Zhou, Fangchun Yang, Kokati Venkata Bhaskara Rao, Tao Leí, Ilana Kolodkin‐Gal and Rajkumar Buyya. Their work appears in journals such as mBio, PLoS ONE, Wireless Personal Communications, Die Naturwissenschaften and Journal of Reliable Intelligent Environments.

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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