Sumit Kumar Jindal

715 citations
80 papers · 480 · h-index 12

Impact in

Papers in

Sumit Kumar Jindal

68 papers receiving 453 citations

Peers

Sumit Kumar Jindal
Comparison fields: 5 of 61
  • Electrical and Electronic Engineering 373
  • Biomedical Engineering 233
  • Atomic and Molecular Physics, and Optics 133
  • Computer Networks and Communications 71
  • Bioengineering 13
Replace Daniel Fernández with:
Daniel Fernández Spain
V.L. Spiering Netherlands
J.A. Geen United States
Amir Ebrahimi Australia
Qinwen Huang China
Norbert Dumas France
M.O. Sonnaillon Argentina
A. Kornfeld Israel
Sumit Kumar Jindal relative to Daniel Fernández Spain Daniel Fernández's profile →
Citations per field
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Citations per year

Countries citing papers authored by Sumit Kumar Jindal

Since Specialization
Citations

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

Fields of papers citing papers by Sumit Kumar Jindal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Sumit Kumar Jindal, 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 Sumit Kumar Jindal Line = papers co-authored together Sumit Kumar Jindal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201537
2 201835
3 201431
4 201524
5 201820
6 201720
7 201817
8 202216
9 201513
10 201812
11 201911
12 201411
13 202111
14 202310
15 202210
16 202310
17 20199
18 20199
19 20219
20 20238

About Sumit Kumar Jindal

Sumit Kumar Jindal is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Atomic and Molecular Physics, and Optics, Computer Networks and Communications and Artificial Intelligence, having authored 80 papers that have together received 480 indexed citations. Recurring topics across this work include Advanced MEMS and NEMS Technologies (48 papers), Mechanical and Optical Resonators (21 papers), Sensor Technology and Measurement Systems (16 papers), Acoustic Wave Resonator Technologies (15 papers), Advanced Sensor and Energy Harvesting Materials (13 papers), Photonic and Optical Devices (7 papers), Advanced Sensor Technologies Research (7 papers) and IoT-based Smart Home Systems (6 papers). The work is most often cited by research in Electrical and Electronic Engineering (373 citations), Biomedical Engineering (233 citations), Atomic and Molecular Physics, and Optics (133 citations), Computer Networks and Communications (71 citations) and Bioengineering (13 citations). Sumit Kumar Jindal has collaborated with scholars based in India, Türkiye and Australia. Frequent co-authors include Sanjeev Kumar Raghuwanshi, Ajay Kumar, Hemprasad Yashwant Patil, Prishati Raychowdhury, Sardar M. N. Islam, Sarat Kumar Sahoo, Om Prakash, Basudeba Behera, Rohan Paul and Mayank Srivastava. Their work appears in journals such as IEEE Sensors Journal, Journal of Computational Electronics, Microsystem Technologies, Optical and Quantum Electronics 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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