Navin Bhatt

2.0k citations
42 papers · 1.5k · h-index 19

Impact in

Papers in

Navin Bhatt

40 papers receiving 1.4k citations

Peers

Navin Bhatt
Comparison fields: 5 of 61
  • Control and Systems Engineering 950
  • Safety, Risk, Reliability and Quality 233
  • Electrical and Electronic Engineering 1.3k
  • Energy Engineering and Power Technology 21
  • Computer Networks and Communications 76
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Antonio de la Villa Jaén Spain
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Citations per field
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Citations per year

Countries citing papers authored by Navin Bhatt

Since Specialization
Citations

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

Fields of papers citing papers by Navin Bhatt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010283
2 2009221
3 2013118
4 201579
5 197768
6 200264
7 201563
8 201657
9 200256
10 200456
11 200447
12 201535
13 198233
14 201528
15 200828
16 201625
17 200921
18 199620
19 201420
20 201516

About Navin Bhatt

Navin Bhatt is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Safety, Risk, Reliability and Quality, Artificial Intelligence and Computational Mechanics, having authored 42 papers that have together received 1.5k indexed citations. Recurring topics across this work include Power System Optimization and Stability (34 papers), Power Systems Fault Detection (15 papers), HVDC Systems and Fault Protection (11 papers), Optimal Power Flow Distribution (10 papers), Power System Reliability and Maintenance (6 papers), Microgrid Control and Optimization (4 papers), Computational Physics and Python Applications (4 papers) and High-Voltage Power Transmission Systems (4 papers). The work is most often cited by research in Control and Systems Engineering (950 citations), Safety, Risk, Reliability and Quality (233 citations), Electrical and Electronic Engineering (1.3k citations), Energy Engineering and Power Technology (21 citations) and Computer Networks and Communications (76 citations). Navin Bhatt has collaborated with scholars based in United States, China and India. Frequent co-authors include Pei Zhang, Fangxing Li, Kai Sun, Vijay Vittal, Evangelos Farantatos, Sanjoy Sarawgi, Alberto Del Rosso, Michael R. Richardson, R.J. O'Keefe and Ruisheng Diao. Their work appears in journals such as IEEE Transactions on Power Systems, IEEE Transactions on Smart Grid, IET Generation Transmission & Distribution, IEEE Transactions on Energy Conversion and Electric Power Systems Research.

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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