Deepjyoti Deka

1.4k citations
48 papers · 625 · h-index 12

Impact in

Papers in

Deepjyoti Deka

43 papers receiving 619 citations

Peers

Deepjyoti Deka
Comparison fields: 5 of 54
  • Control and Systems Engineering 289
  • Safety, Risk, Reliability and Quality 92
  • Energy Engineering and Power Technology 26
  • Electrical and Electronic Engineering 464
  • Computer Networks and Communications 66
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Harold R. Chamorro Sweden
Yun-Won Jeong South Korea
Qiuhua Huang United States
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Countries citing papers authored by Deepjyoti Deka

Since Specialization
Citations

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

Fields of papers citing papers by Deepjyoti Deka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017139
2 2019119
3 202041
4 202339
5 202036
6 201630
7 202125
8 202025
9 201518
10 201715
11 201412
12 202111
13 202310
14 20139
15 20148
16 20238
17 20237
18 20227
19 20237
20 20145

About Deepjyoti Deka

Deepjyoti Deka is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Artificial Intelligence, Computer Networks and Communications and Statistical and Nonlinear Physics, having authored 48 papers that have together received 625 indexed citations. Recurring topics across this work include Power System Optimization and Stability (17 papers), Optimal Power Flow Distribution (14 papers), Smart Grid Security and Resilience (9 papers), Smart Grid Energy Management (7 papers), Microgrid Control and Optimization (7 papers), Network Security and Intrusion Detection (6 papers), Anomaly Detection Techniques and Applications (4 papers) and Power Systems Fault Detection (4 papers). The work is most often cited by research in Control and Systems Engineering (289 citations), Safety, Risk, Reliability and Quality (92 citations), Energy Engineering and Power Technology (26 citations), Electrical and Electronic Engineering (464 citations) and Computer Networks and Communications (66 citations). Deepjyoti Deka has collaborated with scholars based in United States, India and Russia. Frequent co-authors include Michael Chertkov, Scott Backhaus, Meng Wang, Sriram Vishwanath, Murti V. Salapaka, Ross Baldick, Saurav Talukdar, Guido Cavraro, Vassilis Kekatos and Md Umar Hashmi. Their work appears in journals such as IEEE Transactions on Smart Grid, IEEE Transactions on Control of Network Systems, IEEE Transactions on Power Systems, Electric Power Systems Research and IEEE Transactions on Artificial Intelligence.

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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