Sandeep Negi

1.4k citations
39 papers · 1.1k indexed · h-index 17

Impact in

Papers in

Sandeep Negi

37 papers receiving 1.1k citations

Peers

Sandeep Negi
Comparison fields: 5 of 71
  • Cellular and Molecular Neuroscience 893
  • Cognitive Neuroscience 463
  • Polymers and Plastics 253
  • Bioengineering 61
  • Electrical and Electronic Engineering 530
Replace Rajmohan Bhandari with:
Rajmohan Bhandari United States
Prashant Tathireddy United States
Cassandra L. Weaver United States
Anton Guimerà‐Brunet Spain
Kosmas Deligkaris Japan
Davide Ricci Italy
David A. X. Nayagam Australia
James R. Eles United States
K.E. Jones United States
James A. Wiler United States
Sandeep Negi relative to Rajmohan Bhandari United States Rajmohan Bhandari's profile →
Citations per field
00.5×1.5×
Rajmohan Bhandari · 1×
Citations per year

Countries citing papers authored by Sandeep Negi

Since Specialization
Citations

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

Fields of papers citing papers by Sandeep Negi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20220
3 20208
4 201915
5
THD assessment of cascade H-bridge multi-level inverter
20181
6 20176
7 201735
8 201622
9 201571
10 201411
11 201316
12 20129
13 20128
14 201213
15 2010160
16 201056
17 201073
18 2009107
19 200747
20 20079

About Sandeep Negi

Sandeep Negi is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Bioengineering, Electrical and Electronic Engineering and Polymers and Plastics, having authored 39 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (38 papers), Advanced Memory and Neural Computing (25 papers), EEG and Brain-Computer Interfaces (22 papers), Conducting polymers and applications (5 papers), Muscle activation and electromyography studies (4 papers), Analytical Chemistry and Sensors (4 papers), Neural dynamics and brain function (3 papers) and Nanofabrication and Lithography Techniques (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (893 citations), Cognitive Neuroscience (463 citations), Polymers and Plastics (253 citations), Bioengineering (61 citations) and Electrical and Electronic Engineering (530 citations). Sandeep Negi has collaborated with scholars based in United States, Germany and South Korea. Frequent co-authors include Rajmohan Bhandari, Florian Solzbacher, Loren Rieth, Prashant Tathireddy, Rick Van Wagenen, Rohit Sharma, Xianzong Xie, Ryan Caldwell, Richard A. Normann and Md Mobashir Hasan Shandhi. Their work appears in journals such as Biomedical Microdevices, Sensors and Actuators A Physical, Journal of Micromechanics and Microengineering, Journal of Microelectromechanical Systems and Journal of Neural Engineering.

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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