Nishchal K. Verma

4.2k citations
189 papers · 2.6k indexed · 1 hit paper · h-index 27

Nishchal K. Verma

180 papers receiving 2.5k citations

Hit Papers

CNN-Based Transformer Model for Fault Detection in Power ...1142023202620242025255075100

Peers

Nishchal K. Verma
Comparison fields: 5 of 135
  • Control and Systems Engineering 1.3k
  • Computer Vision and Pattern Recognition 522
  • Media Technology 164
  • Artificial Intelligence 580
  • Computer Networks and Communications 332
Replace Chenglin Wen with:
Chenglin Wen China
Hongfeng Tao China
Guo Xie China
Danil Prokhorov United States
C.S.G. Lee United States
Qiang Ling China
Sreenatha G. Anavatti Australia
Afshin Faramarzi United States
Mahdi Aliyari Shoorehdeli Iran
Kuangrong Hao China
Nishchal K. Verma relative to Chenglin Wen China Chenglin Wen's profile →
Citations per field
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Chenglin Wen · 1×
Citations per year

Countries citing papers authored by Nishchal K. Verma

Since Specialization
Citations

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

Fields of papers citing papers by Nishchal K. Verma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nishchal K. Verma. 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 Nishchal K. Verma. The network helps show where Nishchal K. Verma may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20240
4 202315
5 20223
6 20220
7 20202
8 201882
9 201814
10 20181
11 201736
12 201715
13 20176
14 201620
15 20166
16 201512
17 201575
18 20137
19 20121
20 201148

About Nishchal K. Verma

Nishchal K. Verma is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Media Technology, having authored 189 papers that have together received 2.6k indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (28 papers), Adaptive Control of Nonlinear Systems (24 papers), Fault Detection and Control Systems (23 papers), Fuzzy Logic and Control Systems (22 papers), Control and Dynamics of Mobile Robots (16 papers), Advanced Image and Video Retrieval Techniques (16 papers), Neural Networks and Applications (14 papers) and Image Enhancement Techniques (14 papers). The work is most often cited by research in Control and Systems Engineering (1.3k citations), Computer Vision and Pattern Recognition (522 citations) and Media Technology (164 citations). Nishchal K. Verma has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Rahul K. Sevakula, Sonal Dixit, Al Salour, Narendra Kumar Dhar, Laxmidhar Behera, Vikas Singh, A. K. Ghosh, S.C. Srivastava, Bibhu Prasad Padhy and Teena Sharma. Their work appears in journals such as IEEE Transactions on Power Systems, BMC Bioinformatics and Pattern Recognition.

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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