S. Revathi

471 citations
40 papers · 333 · h-index 8

Impact in

Papers in

S. Revathi

34 papers receiving 319 citations

Peers

S. Revathi
Comparison fields: 5 of 69
  • Signal Processing 94
  • Computer Networks and Communications 187
  • Artificial Intelligence 102
  • Information Systems 68
  • Computer Vision and Pattern Recognition 31
Replace Taher Al‐Shehari with:
Taher Al‐Shehari Saudi Arabia
Abdullah M. Alnajim Saudi Arabia
Ioanna Kantzavelou Greece
Joshua Daniel United Kingdom
Ahmad Adel Abu-Shareha Jordan
Othonas Soultatos Greece
Rakan A. Alsowail Saudi Arabia
Mario Vega-Barbas Spain
Arun Mishra India
Pooja Anand India
S. Revathi relative to Taher Al‐Shehari Saudi Arabia Taher Al‐Shehari's profile →
Citations per field
00.5×2×4×5.7×
Taher Al‐Shehari · 1×
Citations per year

Countries citing papers authored by S. Revathi

Since Specialization
Citations

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

Fields of papers citing papers by S. Revathi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside S. Revathi, 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. Revathi Line = papers co-authored together S. Revathi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021112
2 202448
3 202028
4 202020
5 201717
6 202012
7 201812
8 20239
9 20187
10 20247
11 20176
12 20185
13 20235
14 20195
15 20214
16 20204
17 20244
18 20134
19 20233
20 20122

About S. Revathi

S. Revathi is a scholar working on Computer Networks and Communications, Signal Processing, Artificial Intelligence, Neurology and Information Systems, having authored 40 papers that have together received 333 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (8 papers), Advanced Malware Detection Techniques (6 papers), IoT and Edge/Fog Computing (5 papers), Spam and Phishing Detection (4 papers), Brain Tumor Detection and Classification (3 papers), Medical Imaging and Analysis (3 papers), Emotion and Mood Recognition (3 papers) and Mobile Ad Hoc Networks (3 papers). The work is most often cited by research in Signal Processing (94 citations), Computer Networks and Communications (187 citations), Artificial Intelligence (102 citations), Information Systems (68 citations) and Computer Vision and Pattern Recognition (31 citations). S. Revathi has collaborated with scholars based in India, Saudi Arabia and Iraq. Frequent co-authors include Sumanth Ratna Kandavalli, N. Rajkumar, Sampath Boopathi, G. S. Nagaraja, Kanasani Rajesh, P.N. Sudha, Jayachandran Venkatesan, Awad Saeed AlSamghan, Mohammed Rizwan Amanullah and Sundarakannan Rajendran. Their work appears in journals such as International Journal of Biological Macromolecules, Environmental Monitoring and Assessment, Multimedia Tools and Applications, Asian Journal of Scientific Research and CAAI Transactions on Intelligence Technology.

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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