D. Selvaraj

727 citations
29 papers · 381 · h-index 12

Impact in

Papers in

D. Selvaraj

25 papers receiving 313 citations

Peers

D. Selvaraj
Comparison fields: 5 of 70
  • Neurology 118
  • Health Information Management 32
  • Computer Vision and Pattern Recognition 110
  • Artificial Intelligence 115
  • Information Systems 80
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Citations per year

Countries citing papers authored by D. Selvaraj

Since Specialization
Citations

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

Fields of papers citing papers by D. Selvaraj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside D. Selvaraj, 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 D. Selvaraj Line = papers co-authored together D. Selvaraj links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Combining Tissue Segmentation and Neural Network for Brain Tumor Detection
201575
2 202330
3 202328
4 202227
5 202227
6 202423
7 202423
8 202219
9
MRI BRAIN IMAGE SEGMENTATION TECHNIQUES - A REVIEW
201319
10 202317
11 202217
12 201016
13 202511
14 201011
15 20248
16
An outbreak of SEMBV and MVB infections in cultured Penaeus monodon in Tamil Nadu
19967
17 20224
18
Occurrence of Monodon baculoviral infection in shrimps in Tamil Nadu
19963
19
Infectious hypodermal and haematopoietic necrosis virus (IHHNV) in cultured Penaeus monodon in Tamil Nadu, India
19983
20 20103

About D. Selvaraj

D. Selvaraj is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Neurology and Computer Networks and Communications, having authored 29 papers that have together received 381 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (5 papers), Medical Image Segmentation Techniques (5 papers), Privacy-Preserving Technologies in Data (5 papers), Blockchain Technology Applications and Security (4 papers), Cryptography and Data Security (4 papers), Invertebrate Immune Response Mechanisms (3 papers), Aquaculture disease management and microbiota (3 papers) and IoT and Edge/Fog Computing (3 papers). The work is most often cited by research in Neurology (118 citations), Health Information Management (32 citations), Computer Vision and Pattern Recognition (110 citations), Artificial Intelligence (115 citations) and Information Systems (80 citations). D. Selvaraj has collaborated with scholars based in India, United States and South Korea. Frequent co-authors include R. Dhanasekaran, D. Dhinakaran, S. M. Udhaya Sankar, L. Srinivasan, G. Sudha Sadasivam, S. Lakshmi, K. Sudharson, P. M. Joe Prathap, B. Murali Manohar and M. Thiyagarajan. Their work appears in journals such as Heart Rhythm, Biomedical Signal Processing and Control, Contrast Media & Molecular Imaging, China Communications and Quantum Information and Computation.

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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