T. Sheela

1.6k citations
62 papers · 1.2k · h-index 14

Impact in

Papers in

T. Sheela

49 papers receiving 1.2k citations

Peers

T. Sheela
Comparison fields: 5 of 111
  • Water Science and Technology 325
  • Polymers and Plastics 233
  • Health Information Management 60
  • Industrial and Manufacturing Engineering 84
  • Electrical and Electronic Engineering 349
Replace Lei Miao with:
Lei Miao China
Xinbo Wang China
Saravanan Pandiaraj Saudi Arabia
Yihui Li China
Alaa Hamdy Egypt
Amjad Iqbal Poland
Yuan Lü China
Li Deng China
Khashayar Badii Iran
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Citations per field
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Citations per year

Countries citing papers authored by T. Sheela

Since Specialization
Citations

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

Fields of papers citing papers by T. Sheela

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside T. Sheela, 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 T. Sheela Line = papers co-authored together T. Sheela links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011324
2 2008167
3 2012145
4 202191
5 201562
6 201448
7 201643
8 201438
9 201633
10 201726
11 202017
12 201615
13 201515
14 201113
15 201413
16 201712
17 202212
18 201711
19 201910
20 201410

About T. Sheela

T. Sheela is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Polymers and Plastics, Biomedical Engineering and Information Systems, having authored 62 papers that have together received 1.2k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (9 papers), Polymer Nanocomposite Synthesis and Irradiation (9 papers), Conducting polymers and applications (8 papers), Cloud Computing and Resource Management (5 papers), Advanced Battery Materials and Technologies (5 papers), Privacy-Preserving Technologies in Data (4 papers), Software-Defined Networks and 5G (4 papers) and Cryptography and Data Security (3 papers). The work is most often cited by research in Water Science and Technology (325 citations), Polymers and Plastics (233 citations), Health Information Management (60 citations), Industrial and Manufacturing Engineering (84 citations) and Electrical and Electronic Engineering (349 citations). T. Sheela has collaborated with scholars based in India, United States and China. Frequent co-authors include Y. Arthoba Nayaka, S. Basavanna, Ranjani Viswanatha, R. F. Bhajantri, Sunil G. Rathod, V. Ravindrachary, N.G. Renganathan, M. Ganesan, Jagadish Naik and P. K. Pujari. Their work appears in journals such as Journal of Non-Crystalline Solids, Indian Journal of Science and Technology, Journal of Polymer Research, Biomedical Signal Processing and Control and Wireless Personal Communications.

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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