Anish Gaikwad

811 citations
32 papers · 488 indexed · h-index 11

Anish Gaikwad

32 papers receiving 471 citations

Peers

Anish Gaikwad
Comparison fields: 5 of 39
  • Control and Systems Engineering 338
  • Safety, Risk, Reliability and Quality 72
  • Electrical and Electronic Engineering 435
  • Energy Engineering and Power Technology 17
  • Astronomy and Astrophysics 32
Replace Jean‐Claude Maun with:
Jean‐Claude Maun Belgium
H.K. Clark United States
Dahai You China
Xiangxiang Wei China
S.M. Deckmann Brazil
S.M. Halpin United States
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E.A. Cano-Plata Colombia
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Citations per field
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Citations per year

Countries citing papers authored by Anish Gaikwad

Since Specialization
Citations

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

Fields of papers citing papers by Anish Gaikwad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20221
2 20214
3 20209
4 202017
5 201929
6 20192
7 201848
8 20181
9 20164
10 20169
11 201637
12 20131
13 20133
14
Overview of Existing Load Models and Their Applications
20122
15 200822
16 200714
17 20062
18 200614
19
Assessing financial feasibility of PQ improvement devices using Monte Carlo simulations
20042
20
Bootstrap methods for stochastic prediction of voltage sags
20044

About Anish Gaikwad

Anish Gaikwad is a scholar working on Safety, Risk, Reliability and Quality, Control and Systems Engineering, Electrical and Electronic Engineering, Energy Engineering and Power Technology and Radiological and Ultrasound Technology, having authored 32 papers that have together received 488 indexed citations. Recurring topics across this work include Optimal Power Flow Distribution (16 papers), Power System Optimization and Stability (14 papers), Power System Reliability and Maintenance (8 papers), Microgrid Control and Optimization (8 papers), Smart Grid Energy Management (7 papers), Thermal Analysis in Power Transmission (3 papers), Islanding Detection in Power Systems (3 papers) and Electric Power System Optimization (3 papers). The work is most often cited by research in Control and Systems Engineering (338 citations), Safety, Risk, Reliability and Quality (72 citations), Electrical and Electronic Engineering (435 citations), Energy Engineering and Power Technology (17 citations) and Astronomy and Astrophysics (32 citations). Anish Gaikwad has collaborated with scholars based in United States and Japan. Frequent co-authors include Surya Santoso, Swagata Das, Mahendra Patel, Pouyan Pourbeik, Deepak Ramasubramanian, Penn Markham, Daniel Brooks, Evangelos Farantatos, Wenzong Wang and Jens C. Boemer. Their work appears in journals such as IEEE Transactions on Power Systems, Electric Power Systems Research, International Journal of Electrical Power & Energy Systems, IEEE Electrification Magazine and IEEE Access.

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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