J. Uthayakumar

24 papers receiving 870 citations

Peers

J. Uthayakumar
Comparison fields: 5 of 112
  • Health Information Management 140
  • Computer Networks and Communications 255
  • Artificial Intelligence 351
  • Computer Vision and Pattern Recognition 205
  • Health Informatics 9
Replace S. K. Lakshmanaprabu with:
S. K. Lakshmanaprabu India
Biswajit Purkayastha India
Ranjit Panigrahi India
Ibrahim M. El‐Hasnony Egypt
Suhel Hammoud United Kingdom
Anjana Gosain India
Tawfiq Hasanin Saudi Arabia
Mohd Dilshad Ansari India
Hani Alshahrani Saudi Arabia
Rafael M. O. Cruz Canada
J. Uthayakumar relative to S. K. Lakshmanaprabu India S. K. Lakshmanaprabu's profile →
Citations per field
00.5×4.5×
S. K. Lakshmanaprabu · 1×
Citations per year

Countries citing papers authored by J. Uthayakumar

Since Specialization
Citations

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

Fields of papers citing papers by J. Uthayakumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside J. Uthayakumar, 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 J. Uthayakumar Line = papers co-authored together J. Uthayakumar 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 2018181
2 2019140
3 2019125
4 2018113
5 201978
6 202066
7 201955
8 201851
9 201732
10 202216
11 202313
12 202113
13 202312
14 20239
15 20209
16 20196
17 20186
18 20205
19 20214
20 20204

About J. Uthayakumar

J. Uthayakumar is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering and Health Information Management, having authored 24 papers that have together received 945 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (4 papers), Energy Efficient Wireless Sensor Networks (4 papers), Imbalanced Data Classification Techniques (3 papers), Advanced Data Compression Techniques (3 papers), Video Surveillance and Tracking Methods (3 papers), Image Enhancement Techniques (2 papers), Algorithms and Data Compression (2 papers) and Financial Distress and Bankruptcy Prediction (2 papers). The work is most often cited by research in Health Information Management (140 citations), Computer Networks and Communications (255 citations), Artificial Intelligence (351 citations), Computer Vision and Pattern Recognition (205 citations) and Health Informatics (9 citations). J. Uthayakumar has collaborated with scholars based in India, Saudi Arabia and Egypt. Frequent co-authors include K. Shankar, Mohamed Elhoseny, T. Vengattaraman, S. K. Lakshmanaprabu, P. Dhavachelvan, Noura Metawa, Sujatha Krishnamoorthy, Sachi Nandan Mohanty, B. S. Murugan and Enas Abdulhay. Their work appears in journals such as Electronic Government an International Journal, Multimedia Tools and Applications, Wireless Personal Communications, Journal of King Saud University - Computer and Information Sciences and IEEE Transactions on Reliability.

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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