V. Mohanraj

412 citations
35 papers · 155 · h-index 8

Impact in

Papers in

V. Mohanraj

26 papers receiving 132 citations

Peers

V. Mohanraj
Comparison fields: 5 of 76
  • Signal Processing 21
  • Computer Networks and Communications 41
  • Computer Vision and Pattern Recognition 34
  • Information Systems 31
  • Artificial Intelligence 41
Replace Sajedul Talukder with:
Sajedul Talukder United States
Vincent Huang Sweden
Ch. V. Raghavendran India
Wee Hyong Tok Singapore
Alex Gray United Kingdom
Bùi Thanh Hùng Vietnam
Mehmood Ali Mohammed United States
Max Chevalier France
Cláudio Rebelo de Sá Netherlands
Shiju Sathyadevan India
V. Mohanraj relative to Sajedul Talukder United States Sajedul Talukder's profile →
Citations per field
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Sajedul Talukder · 1×
Citations per year

Countries citing papers authored by V. Mohanraj

Since Specialization
Citations

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

Fields of papers citing papers by V. Mohanraj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside V. Mohanraj, 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 V. Mohanraj Line = papers co-authored together V. Mohanraj links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202015
2 201114
3 202113
4 201611
5 202110
6 202210
7 20119
8 20218
9 20197
10 20207
11 20227
12 20186
13 20096
14 20125
15 20214
16 20173
17 20113
18 20232
19 20212
20 20182

About V. Mohanraj

V. Mohanraj is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 35 papers that have together received 155 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (6 papers), Face and Expression Recognition (4 papers), Face recognition and analysis (4 papers), Recommender Systems and Techniques (4 papers), Web Data Mining and Analysis (3 papers), Network Security and Intrusion Detection (3 papers), COVID-19 epidemiological studies (2 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Signal Processing (21 citations), Computer Networks and Communications (41 citations), Computer Vision and Pattern Recognition (34 citations), Information Systems (31 citations) and Artificial Intelligence (41 citations). V. Mohanraj has collaborated with scholars based in India, United States and Papua New Guinea. Frequent co-authors include V. Vaidehi, S. Arumugam, Ashish Kr. Luhach, Sandeep Kumar, D Karthikeyan, G. Jothi, S. Sibi Chakkaravarthy, V. Sathiesh Kumar, Digvijay Pandey and Rohit Anand. Their work appears in journals such as Personal and Ubiquitous Computing, Applied Soft Computing, Mathematical Biosciences & Engineering, Journal of Systems and Software and Journal of Ambient Intelligence and Humanized 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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