J. Uthayakumar

23 papers receiving 763 citations

Peers

J. Uthayakumar
Comparison fields: 5 of 110
  • Health Information Management 125
  • Computer Networks and Communications 231
  • Artificial Intelligence 310
  • Computer Vision and Pattern Recognition 187
  • Health Informatics 10
Replace S. K. Lakshmanaprabu with:
S. K. Lakshmanaprabu India
Theo G. Swart South Africa
Biswajit Purkayastha India
Ranjit Panigrahi India
J. Anuradha India
Ravinder Kumar India
Anjana Gosain India
Tawfiq Hasanin Saudi Arabia
Hani Alshahrani Saudi Arabia
Surjeet Dalal India
J. Uthayakumar relative to S. K. Lakshmanaprabu India S. K. Lakshmanaprabu's profile →
Citations per field
00.5×
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 17 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 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018158
2 2019123
3 2019108
4 201897
5 201969
6 202065
7 201950
8 201849
9 201729
10 202215
11 202313
12 202112
13 202310
14 20209
15 20239
16 20187
17 20196
18 20205
19 20214
20 20204

About J. Uthayakumar

J. Uthayakumar is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering and Health Information Management, having authored 23 papers that have together received 846 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (4 papers), Artificial Intelligence in Healthcare (4 papers), Imbalanced Data Classification Techniques (3 papers), Video Surveillance and Tracking Methods (3 papers), Advanced Data Compression Techniques (3 papers), IoT-based Smart Home Systems (2 papers), Error Correcting Code Techniques (2 papers) and Advanced Image Fusion Techniques (2 papers). The work is most often cited by research in Health Information Management (125 citations), Computer Networks and Communications (231 citations), Artificial Intelligence (310 citations), Computer Vision and Pattern Recognition (187 citations) and Health Informatics (10 citations). J. Uthayakumar has collaborated with scholars based in India, Egypt and Saudi Arabia. Frequent co-authors include K. Shankar, T. Vengattaraman, P. Dhavachelvan, Mohamed Elhoseny, S. K. Lakshmanaprabu, 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 International Journal of Information Management.

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.

Explore authors with similar magnitude of impact