Nitish Katal

437 citations
36 papers · 261 · h-index 9

Impact in

Papers in

Nitish Katal

33 papers receiving 240 citations

Peers

Nitish Katal
Comparison fields: 5 of 60
  • Neurology 55
  • Control and Systems Engineering 87
  • Computer Vision and Pattern Recognition 56
  • Electrical and Electronic Engineering 83
  • Artificial Intelligence 44
Replace Devendra Somwanshi with:
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S. Sumathi India
Sulochana Wadhwani India
Subhajit Chatterjee South Korea
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Jingfeng Mao China
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Citations per field
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Citations per year

Countries citing papers authored by Nitish Katal

Since Specialization
Citations

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

Fields of papers citing papers by Nitish Katal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Nitish Katal, 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 Nitish Katal Line = papers co-authored together Nitish Katal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202265
2 202323
3 202118
4 201417
5 201716
6 202115
7 202211
8 202211
9 20178
10 20218
11 20227
12 20146
13 20146
14 20226
15
Taguchi and multi-objective genetic algorithm-based optimization during ECDM of SiCp/glass fibers reinforced PMCs
20196
16 20245
17 20155
18 20144
19 20124
20 20233

About Nitish Katal

Nitish Katal is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Mechanical Engineering, Artificial Intelligence and Automotive Engineering, having authored 36 papers that have together received 261 indexed citations. Recurring topics across this work include Advanced Control Systems Design (16 papers), Advanced Control Systems Optimization (14 papers), Extremum Seeking Control Systems (6 papers), Photovoltaic System Optimization Techniques (3 papers), Advanced machining processes and optimization (3 papers), Evolutionary Algorithms and Applications (3 papers), Advanced DC-DC Converters (3 papers) and Advanced Neural Network Applications (3 papers). The work is most often cited by research in Neurology (55 citations), Control and Systems Engineering (87 citations), Computer Vision and Pattern Recognition (56 citations), Electrical and Electronic Engineering (83 citations) and Artificial Intelligence (44 citations). Nitish Katal has collaborated with scholars based in India, Zimbabwe and Kuwait. Frequent co-authors include Shiv Narayan, Nishtha Hooda, Pranjal Agrawal, Bhisham Sharma, Sanjay Kumar Singh, Parvesh Antil, Sarbjit Singh, Alakesh Manna, Catalin I. Pruncu and Vineet Kumar. Their work appears in journals such as Energies, Scientific Reports, Polymer Composites, Journal of Intelligent & Fuzzy Systems and Computer Methods in Biomechanics & Biomedical 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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