Mohit Sinha

934 citations
22 papers · 668 · h-index 10

Impact in

Papers in

Mohit Sinha

22 papers receiving 653 citations

Peers

Mohit Sinha
Comparison fields: 5 of 28
  • Energy Engineering and Power Technology 105
  • Control and Systems Engineering 587
  • Electrical and Electronic Engineering 569
  • Computer Networks and Communications 95
  • Statistical and Nonlinear Physics 16
Replace Dominic Gros with:
Dominic Gros Switzerland
Tevfik Sezi Germany
Lin-Yu Lu Taiwan
Sebastian Trip Netherlands
Sai Pushpak Nandanoori United States
Dirk Turschner Germany
Meiling Ma China
Huadong Sun China
Mohit Sinha relative to Dominic Gros Switzerland Dominic Gros's profile →
Citations per field
00.5×9.7×
Dominic Gros · 1×
Citations per year

Countries citing papers authored by Mohit Sinha

Since Specialization
Citations

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

Fields of papers citing papers by Mohit Sinha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Mohit Sinha, 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 Mohit Sinha Line = papers co-authored together Mohit Sinha links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015220
2 2015133
3 201783
4 201848
5 201531
6 201528
7 201621
8 201917
9 201814
10 201812
11 20219
12 20188
13 20177
14 20187
15 20186
16 20176
17 20195
18 20125
19 20184
20 20152

About Mohit Sinha

Mohit Sinha is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Computer Networks and Communications, Molecular Biology and Statistical and Nonlinear Physics, having authored 22 papers that have together received 668 indexed citations. Recurring topics across this work include Microgrid Control and Optimization (12 papers), Islanding Detection in Power Systems (7 papers), Nonlinear Dynamics and Pattern Formation (7 papers), Advanced DC-DC Converters (6 papers), Neural Networks Stability and Synchronization (4 papers), Multilevel Inverters and Converters (3 papers), Power System Optimization and Stability (3 papers) and HVDC Systems and Fault Protection (2 papers). The work is most often cited by research in Energy Engineering and Power Technology (105 citations), Control and Systems Engineering (587 citations), Electrical and Electronic Engineering (569 citations), Computer Networks and Communications (95 citations) and Statistical and Nonlinear Physics (16 citations). Mohit Sinha has collaborated with scholars based in United States, Switzerland and India. Frequent co-authors include Sairaj V. Dhople, Brian Johnson, Florian Dörfler, Nathan Ainsworth, Miguel A. Vega‐Rodríguez, Jason Poon, Miguel Rodríguez, Mohammed Masum Siraj Khan, Yashen Lin and Fernando Rodríguez. Their work appears in journals such as IEEE Transactions on Power Electronics, IEEE Transactions on Control of Network Systems and OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).

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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