Tapan Kumar Jain

68 total papers · 683 total citations
34 papers, 483 citations indexed

About

Tapan Kumar Jain is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Tapan Kumar Jain has authored 34 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Electrical and Electronic Engineering, 10 papers in Computer Networks and Communications and 6 papers in Artificial Intelligence. Recurrent topics in Tapan Kumar Jain's work include Energy Harvesting in Wireless Networks (9 papers), Energy Efficient Wireless Sensor Networks (7 papers) and IoT-based Smart Home Systems (5 papers). Tapan Kumar Jain is often cited by papers focused on Energy Harvesting in Wireless Networks (9 papers), Energy Efficient Wireless Sensor Networks (7 papers) and IoT-based Smart Home Systems (5 papers). Tapan Kumar Jain collaborates with scholars based in India and United States. Tapan Kumar Jain's co-authors include Sanjeeb Kumar Sahoo, Vinod Labhasetwar, Jaspreet K. Vasir, Amulya K. Panda, Sanja Dimitrijevic, Sivakumar Vijayaraghavalu, Sunil Bhooshan, Davinder S. Saini, Ramesh Chowdhary and Murali M. Yallapu and has published in prestigious journals such as Scientific Reports, Chemistry - A European Journal and Molecular Pharmaceutics.

In The Last Decade

Tapan Kumar Jain

30 papers receiving 463 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Tapan Kumar Jain	170	115	98	86	84	34	483
Zhengkun Chen	194 1.1×	38 0.3×	25 0.3×	103 1.2×	47 0.6×	36	477
Ziyuan Zhu	104 0.6×	66 0.6×	40 0.4×	55 0.6×	178 2.1×	72	533
Yani Cui	162 1.0×	42 0.4×	45 0.5×	38 0.4×	99 1.2×	27	498
Kaizheng Liu	244 1.4×	30 0.3×	47 0.5×	13 0.2×	56 0.7×	24	514
Youngtaek Kim	290 1.7×	57 0.5×	28 0.3×	114 1.3×	65 0.8×	26	495
Zheng Wang	100 0.6×	26 0.2×	12 0.1×	61 0.7×	131 1.6×	26	513
Chengyi Tu	119 0.7×	17 0.1×	47 0.5×	75 0.9×	207 2.5×	23	477
Yu-Hsin Wang	226 1.3×	55 0.5×	30 0.3×	32 0.4×	30 0.4×	43	492
Ting-Wei Hsu	78 0.5×	44 0.4×	13 0.1×	106 1.2×	90 1.1×	51	536
Shiqing Li	55 0.3×	33 0.3×	42 0.4×	117 1.4×	160 1.9×	43	477

Countries citing papers authored by Tapan Kumar Jain

Since Specialization

Citations

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

Fields of papers citing papers by Tapan Kumar Jain

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tapan Kumar Jain. 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 Tapan Kumar Jain. The network helps show where Tapan Kumar Jain may publish in the future.

Co-authorship network of co-authors of Tapan Kumar Jain

This figure shows the co-authorship network connecting the top 25 collaborators of Tapan Kumar Jain. A scholar is included among the top collaborators of Tapan Kumar Jain 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 Tapan Kumar Jain. Tapan Kumar Jain is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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