R. Arunkumar

539 citations
24 papers · 398 · h-index 10

Impact in

Papers in

R. Arunkumar

21 papers receiving 372 citations

Peers

R. Arunkumar
Comparison fields: 5 of 73
  • Ophthalmology 43
  • Electrical and Electronic Engineering 216
  • Health Information Management 17
  • Automotive Engineering 41
  • Atomic and Molecular Physics, and Optics 90
Replace Zhixian Chen with:
Zhixian Chen Singapore
Hee‐Jae Jeon South Korea
Shenglan Zhang China
Yann Gavet France
K. M. A. Salam Bangladesh
Izhal Abdul Halin Malaysia
Matthew S. Brown United States
Gi‐Ho Yun South Korea
Gerd vom Bögel Germany
R. Arunkumar relative to Zhixian Chen Singapore Zhixian Chen's profile →
Citations per field
00.5×8.2×
Zhixian Chen · 1×
Citations per year

Countries citing papers authored by R. Arunkumar

Since Specialization
Citations

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

Fields of papers citing papers by R. Arunkumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201898
2 201577
3 201952
4 201630
5 201718
6 201717
7 201515
8 200913
9 201610
10 20209
11 20238
12 20198
13 20237
14 20157
15 20227
16
MEDICAL IMAGE CLASSIFICATION FOR DISEASE DIAGNOSIS BY DBN METHODS
20186
17 20176
18 20144
19 20242
20 20192

About R. Arunkumar

R. Arunkumar is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Biomedical Engineering, Atomic and Molecular Physics, and Optics and Polymers and Plastics, having authored 24 papers that have together received 398 indexed citations. Recurring topics across this work include Photonic Crystals and Applications (5 papers), Advanced Battery Materials and Technologies (5 papers), Photonic and Optical Devices (5 papers), Conducting polymers and applications (4 papers), Plasmonic and Surface Plasmon Research (3 papers), Face and Expression Recognition (2 papers), Brain Tumor Detection and Classification (2 papers) and Image Retrieval and Classification Techniques (2 papers). The work is most often cited by research in Ophthalmology (43 citations), Electrical and Electronic Engineering (216 citations), Health Information Management (17 citations), Automotive Engineering (41 citations) and Atomic and Molecular Physics, and Optics (90 citations). R. Arunkumar has collaborated with scholars based in India, China and Nigeria. Frequent co-authors include S. Robinson, P. Karthigaikumar, Ravi Shanker Babu, M. Usha Rani, Ajay Piriya Vijaya Kumar Saroja, Sundara Ramaprabhu, B. Nagaraj, S. Kalainathan, S. Rajendran and P. Ajay. Their work appears in journals such as Optical and Quantum Electronics, Journal of Applied Polymer Science, International Journal of Machine Learning and Cybernetics, Ionics and ACS Applied Materials & Interfaces.

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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