Kamlesh Tiwari
- Computer Vision and Pattern Recognition top 2%
- Signal Processing top 5%
- Artificial Intelligence top 10%
- Biomedical Engineering
- Computer Networks and Communications top 10%
- Co-authors
- Hari Mohan PandeySantosh Kumar YadavPhalguni GuptaShaik AkbarTrilok MathurAditya NigamGeetika AroraShivi Agarwal
- Topics
- Biometric Identification and Security (22 papers)Face recognition and analysis (12 papers)User Authentication and Security Systems (10 papers)
- Partner nations
- IndiaUnited KingdomUnited States
In The Last Decade
Kamlesh Tiwari
62 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Computer Vision and Pattern Recognition 640
- Signal Processing 236
- Artificial Intelligence 194
- Biomedical Engineering 163
- Computer Networks and Communications 129
Countries citing papers authored by Kamlesh Tiwari
This map shows the geographic impact of Kamlesh Tiwari'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 Kamlesh Tiwari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kamlesh Tiwari more than expected).
Fields of papers citing papers by Kamlesh Tiwari
This network shows the impact of papers produced by Kamlesh Tiwari. 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 Kamlesh Tiwari. The network helps show where Kamlesh Tiwari may publish in the future.
Co-authorship network of co-authors of Kamlesh Tiwari
This figure shows the co-authorship network connecting the top 25 collaborators of Kamlesh Tiwari. A scholar is included among the top collaborators of Kamlesh Tiwari 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 Kamlesh Tiwari. Kamlesh Tiwari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 10 | |
| 6 | 9 | |
| 7 | 1 | |
| 8 | 27 | |
| 9 | 2 | |
| 10 | 15 | |
| 11 | 26 | |
| 12 | 6 | |
| 13 | 1 | |
| 14 | 50 | |
| 15 | 52 | |
| 16 | A review of multimodal human activity recognition with special emphasis on classification, applications, challenges and future directionsbreakdown → | 191 |
| 17 | 8 | |
| 18 | 56 | |
| 19 | 14 | |
| 20 | 10 |
About Kamlesh Tiwari
Kamlesh Tiwari is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Archeology, having authored 68 papers that have together received 1.2k indexed citations. Recurring topics across this work include Biometric Identification and Security (22 papers), Face recognition and analysis (12 papers) and User Authentication and Security Systems (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (640 citations), Signal Processing (236 citations) and Modeling and Simulation (59 citations). Kamlesh Tiwari has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Hari Mohan Pandey, Santosh Kumar Yadav, Phalguni Gupta, Shaik Akbar, Trilok Mathur, Aditya Nigam, Geetika Arora, Shivi Agarwal, Mohan Rajesh Elara and Balakrishnan Ramalingam. Their work appears in journals such as Journal of Cleaner Production, Scientific Reports 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.