Nishchal K. Verma
- Control and Systems Engineering top 0.5%
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Electrical and Electronic Engineering top 10%
- Mechanical Engineering top 5%
- Co-authors
- Rahul K. SevakulaSonal DixitAl SalourNarendra Kumar DharLaxmidhar BeheraVikas SinghA. K. GhoshS.C. Srivastava
- Topics
- Machine Fault Diagnosis Techniques (28 papers)Adaptive Control of Nonlinear Systems (24 papers)Fault Detection and Control Systems (23 papers)
- Partner nations
- IndiaUnited StatesAustralia
In The Last Decade
Nishchal K. Verma
180 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Control and Systems Engineering 1.3k
- Artificial Intelligence 580
- Computer Vision and Pattern Recognition 522
- Electrical and Electronic Engineering 510
- Mechanical Engineering 372
Countries citing papers authored by Nishchal K. Verma
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
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 of co-authors of Nishchal K. Verma
This figure shows the co-authorship network connecting the top 25 collaborators of Nishchal K. Verma. A scholar is included among the top collaborators of Nishchal K. Verma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nishchal K. Verma. Nishchal K. Verma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 15 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 82 | |
| 9 | 14 | |
| 10 | 1 | |
| 11 | 36 | |
| 12 | 15 | |
| 13 | 6 | |
| 14 | 20 | |
| 15 | 6 | |
| 16 | 12 | |
| 17 | 75 | |
| 18 | 7 | |
| 19 | 1 | |
| 20 | 48 |
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) and Fault Detection and Control Systems (23 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.