T. Sheela
- Electrical and Electronic Engineering top 10%
- Water Science and Technology top 5%
- Materials Chemistry
- Polymers and Plastics top 5%
- Biomedical Engineering
- Co-authors
- Y. Arthoba NayakaRanjani ViswanathaS. BasavannaSunil G. RathodR. F. BhajantriV. RavindracharyN.G. RenganathanM. Ganesan
- Topics
- IoT and Edge/Fog Computing (9 papers)Polymer Nanocomposite Synthesis and Irradiation (9 papers)Conducting polymers and applications (8 papers)
- Partner nations
- IndiaUnited StatesNepal
In The Last Decade
T. Sheela
49 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 111
- Electrical and Electronic Engineering 342
- Water Science and Technology 324
- Materials Chemistry 239
- Polymers and Plastics 228
- Biomedical Engineering 203
Countries citing papers authored by T. Sheela
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
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-authorship network of co-authors of T. Sheela
This figure shows the co-authorship network connecting the top 25 collaborators of T. Sheela. A scholar is included among the top collaborators of T. Sheela 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. Sheela. T. Sheela is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 84 | |
| 6 | 5 | |
| 7 | Extraction, fractionation, isolation and characterization of a Carbazole Alkaloid Mukonicine from the leaves of Murraya koenigii | 2 |
| 8 | Applications of Artificial Intelligence in Agriculture | 3 |
| 9 | 1 | |
| 10 | 9 | |
| 11 | 1 | |
| 12 | 4 | |
| 13 | 26 | |
| 14 | 11 | |
| 15 | LiClO4/PVA/NaAlg高分子複合体のイオン伝導度および微細構造性に関係する自由体積 陽電子消滅のスペクトル研究 | 1 |
| 16 | GPS Based Advanced Railway Level CrossingManagement System Using FPGA | 1 |
| 17 | 61 | |
| 18 | 13 | |
| 19 | 1 | |
| 20 | STUDIES ON THE PERFORMANCE IMPROVEMENT OF WINDOW ADJUSTMENT PROCEDURE IN HIGH BANDWIDTH DELAY PRODUCT NETWORK | 0 |
About T. Sheela
T. Sheela is a scholar working on Polymers and Plastics, Computer Networks and Communications and Human-Computer Interaction, 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) and Conducting polymers and applications (8 papers). The work is most often cited by research in Water Science and Technology (324 citations), Polymers and Plastics (228 citations) and Health Information Management (58 citations). T. Sheela has collaborated with scholars based in India, United States and Nepal. Frequent co-authors include Y. Arthoba Nayaka, Ranjani Viswanatha, S. Basavanna, Sunil G. Rathod, R. F. Bhajantri, V. Ravindrachary, N.G. Renganathan, M. Ganesan, Jagadish Naik and P. K. Pujari. Their work appears in journals such as Chemical Engineering Journal, Journal of Non-Crystalline Solids and Powder Technology.
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.