Shiv Kumar Gupta

8.1k citations
310 papers · 7.0k · h-index 47

Impact in

Papers in

Shiv Kumar Gupta

286 papers receiving 6.7k citations

Peers

Shiv Kumar Gupta
Comparison fields: 5 of 181
  • Bioengineering 1.6k
  • Polymers and Plastics 1.3k
  • Electrical and Electronic Engineering 4.0k
  • Materials Chemistry 2.7k
  • Biomedical Engineering 1.8k
Replace Andrzej Lewandowski with:
Andrzej Lewandowski Poland
Andrew R. Barron United States
Kai Sundmacher Germany
Hiroshi Kobayashi Japan
Xiaoru Wang China
Yaoguang Wang China
Yongjin Wang China
José Carlos Pinto Brazil
Keith B. Oldham Canada
Xia Wang China
Shiv Kumar Gupta relative to Andrzej Lewandowski Poland Andrzej Lewandowski's profile →
Citations per field
00.5×2×4×6.7×
Andrzej Lewandowski · 1×
Citations per year

Countries citing papers authored by Shiv Kumar Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Shiv Kumar Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 310 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006258
2 1972244
3 2013216
4 2010211
5 2010182
6 2009165
7 2011161
8 2003158
9 2013157
10 1975155
11 2014140
12 2017130
13 2007126
14 1968123
15 2013118
16
Science and Technology of Chemiresistor Gas Sensors
2006112
17 2013100
18 200791
19 199886
20 201284

About Shiv Kumar Gupta

Shiv Kumar Gupta is a scholar working on Bioengineering, Electrical and Electronic Engineering, Polymers and Plastics, Computational Theory and Mathematics and Materials Chemistry, having authored 310 papers that have together received 7.0k indexed citations. Recurring topics across this work include Gas Sensing Nanomaterials and Sensors (61 papers), Analytical Chemistry and Sensors (45 papers), Optimization and Mathematical Programming (41 papers), Optimization and Variational Analysis (39 papers), ZnO doping and properties (35 papers), Conducting polymers and applications (26 papers), Multi-Criteria Decision Making (21 papers) and Molecular Junctions and Nanostructures (20 papers). The work is most often cited by research in Bioengineering (1.6k citations), Polymers and Plastics (1.3k citations), Electrical and Electronic Engineering (4.0k citations), Materials Chemistry (2.7k citations) and Biomedical Engineering (1.8k citations). Shiv Kumar Gupta has collaborated with scholars based in India, United States and France. Frequent co-authors include Dinesh Kumar Aswal, Manmeet Kaur, Jatinder Vir Yakhmi, Niranjan S. Ramgir, K.P. Muthe, Ajay Kumar Singh, A.K. Debnath, Jonathan Rosenhead, Aditee Joshi and Hanan Luss. Their work appears in journals such as Sensors and Actuators B Chemical, Applied Physics Letters, Journal of Applied Physics, Thin Solid Films and Journal of Crystal Growth.

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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