R. Devi

644 citations
70 papers · 461 · h-index 11

Impact in

Papers in

R. Devi

57 papers receiving 402 citations

Peers

R. Devi
Comparison fields: 5 of 91
  • Computer Vision and Pattern Recognition 193
  • Neurology 60
  • Media Technology 57
  • Management Science and Operations Research 51
  • Artificial Intelligence 123
Replace Hanuman Verma with:
Hanuman Verma India
Swarup Kr Ghosh India
Suzana Loškovska North Macedonia
Amin Golzari Oskouei Iran
Xianhua Zeng China
Zeeshan Shaukat China
Ahmed Elhadad Saudi Arabia
Yadunath Pathak India
Shailendra Tiwari India
Tieliang Gong China
R. Devi relative to Hanuman Verma India Hanuman Verma's profile →
Citations per field
00.5×2×3×4.1×
Hanuman Verma · 1×
Citations per year

Countries citing papers authored by R. Devi

Since Specialization
Citations

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

Fields of papers citing papers by R. Devi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside R. Devi, 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. Devi Line = papers co-authored together R. Devi 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 201062
2 201247
3
Generalized α-Closed Sets in Topology
199342
4
Effectiveness of syndromic approach in management of reproductive tract infections in women.
200137
5 201037
6 201133
7 201018
8 201715
9 201214
10 199412
11 201612
12 201510
13
Photoelectric properties of CdS thin film prepared by chemical bath deposition
20079
14 20177
15 20227
16 20217
17 20217
18 20236
19 20226
20 20195

About R. Devi

R. Devi is a scholar working on Computer Vision and Pattern Recognition, Health Information Management, Artificial Intelligence, Computer Networks and Communications and Information Systems, having authored 70 papers that have together received 461 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (8 papers), Advanced Clustering Algorithms Research (8 papers), Medical Image Segmentation Techniques (8 papers), Image Retrieval and Classification Techniques (7 papers), Fuzzy and Soft Set Theory (7 papers), Gene expression and cancer classification (6 papers), IoT and Edge/Fog Computing (6 papers) and Digital Image Processing Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (193 citations), Neurology (60 citations), Media Technology (57 citations), Management Science and Operations Research (51 citations) and Artificial Intelligence (123 citations). R. Devi has collaborated with scholars based in India, Taiwan and United Kingdom. Frequent co-authors include S. Ramathilagam, S. R. KANNAN, Sampath Kannan, KRISHNAN BALACHANDRAN, P. Sujatha, Mandeep Mehra, Mongjam Meghachandra Singh, Sandeep Garg, E. Hines and R. Pandiyarajan. Their work appears in journals such as Journal of Systems and Software, Journal of Intelligent & Fuzzy Systems, Journal of Computational and Applied Mathematics, Applied Soft Computing and Soft Computing.

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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