R. Suguna

617 citations
48 papers · 206 · h-index 8

Impact in

Papers in

R. Suguna

41 papers receiving 188 citations

Peers

R. Suguna
Comparison fields: 5 of 72
  • Information Systems 48
  • Computer Networks and Communications 41
  • Artificial Intelligence 53
  • Marketing 15
  • Health Information Management 7
Replace Biresh Kumar with:
Biresh Kumar India
P. N. Renjith India
Majid Hussain Pakistan
Mostafijur Rahman Bangladesh
Elham Kariri Saudi Arabia
Hemn Barzan Abdalla China
Weiping Ding China
Pedro Maló Portugal
Nahid Hossain Bangladesh
Tamer Z. Emara Egypt
R. Suguna relative to Biresh Kumar India Biresh Kumar's profile →
Citations per field
00.5×
Biresh Kumar · 1×
Citations per year

Countries citing papers authored by R. Suguna

Since Specialization
Citations

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

Fields of papers citing papers by R. Suguna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside R. Suguna, 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 R. Suguna Line = papers co-authored together R. Suguna links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202117
2 201917
3 202113
4 202313
5 202112
6 201912
7 20218
8 20218
9 20217
10 20197
11 20196
12 20216
13 20235
14 20145
15 20225
16 20195
17 20125
18 20135
19
USER INTEREST LEVEL BASED PREPROCESSING ALGORITHMS USING WEB USAGE MINING
20144
20 20224

About R. Suguna

R. Suguna is a scholar working on Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications and Marketing, having authored 48 papers that have together received 206 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (6 papers), Web Data Mining and Analysis (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Sentiment Analysis and Opinion Mining (4 papers), Recommender Systems and Techniques (4 papers), Customer churn and segmentation (4 papers), Hand Gesture Recognition Systems (3 papers) and Traffic Prediction and Management Techniques (3 papers). The work is most often cited by research in Information Systems (48 citations), Computer Networks and Communications (41 citations), Artificial Intelligence (53 citations), Marketing (15 citations) and Health Information Management (7 citations). R. Suguna has collaborated with scholars based in India, Spain and Saudi Arabia. Frequent co-authors include M. Shyamala Devi, Yogesh Kumar, S. Palanivel Rajan, S. Prabagaran, S. N. Deepa and Laxman Singh. Their work appears in journals such as Journal of Computational and Theoretical Nanoscience, EURASIP Journal on Image and Video Processing, International Journal of Systems Assurance Engineering and Management, The International Arab Journal of Information Technology and Journal of Electrical Engineering and 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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