T. Saravanan

1.1k total citations
57 papers, 488 citations indexed

About

T. Saravanan is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, T. Saravanan has authored 57 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Networks and Communications, 13 papers in Information Systems and 13 papers in Artificial Intelligence. Recurrent topics in T. Saravanan's work include IoT and Edge/Fog Computing (8 papers), Artificial Intelligence in Healthcare (7 papers) and Energy Efficient Wireless Sensor Networks (6 papers). T. Saravanan is often cited by papers focused on IoT and Edge/Fog Computing (8 papers), Artificial Intelligence in Healthcare (7 papers) and Energy Efficient Wireless Sensor Networks (6 papers). T. Saravanan collaborates with scholars based in India, Iraq and Nepal. T. Saravanan's co-authors include Muthukumaran Malarvel, Gopalakrishnan Sethumadhavan, Soumitra Kar, N. Nithya, Tom Selwyn, S. N. Deepa, K. Ramesh, Rajesh Kumar, Raj Rajkumar and V. S. Ramachandran and has published in prestigious journals such as SHILAP Revista de lepidopterología, Optik and Mobile Networks and Applications.

In The Last Decade

T. Saravanan

49 papers receiving 442 citations

Peers

T. Saravanan
Comparison fields: 5 of 98
  • Computer Vision and Pattern Recognition 104
  • Artificial Intelligence 102
  • Computer Networks and Communications 95
  • Information Systems 68
  • Electrical and Electronic Engineering 66
Replace Bhabani Shankar Prasad Mishra with:
Bhabani Shankar Prasad Mishra India
Naveed Riaz Pakistan
Magnus Pedersen United Kingdom
Abhay Chaturvedi India
Reshma Banu India
Ajmeera Kiran India
Priti Maheshwary India
D. Vijendra Babu India
Mohssen Mohammed South Africa
Utkarsh Mahadeo Khaire India
Bhabani Shankar Prasad Mishra India View profile →
Citations per field, relative to T. Saravanan
T. Saravanan · 1×
Citations per year, relative to T. Saravanan
T. Saravanan · 1×

Countries citing papers authored by T. Saravanan

Since Specialization
Citations

This map shows the geographic impact of T. Saravanan'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 T. Saravanan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Saravanan more than expected).

Fields of papers citing papers by T. Saravanan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Saravanan

This figure shows the co-authorship network connecting the top 25 collaborators of T. Saravanan. A scholar is included among the top collaborators of T. Saravanan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with T. Saravanan. T. Saravanan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 2
3 1
4 0
5 1
6 3
7 0
8 8
9 0
10 2
11 2
12 4
13 24
14
Use of AI Based “CHATBOTS” for Providing Health Related Information
1
15 41
16 17
17 3
18 2
19 1
20
Approaches For Effective Attendance Management System
0

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

Rankless by CCL
2026