Chaman Verma
- Computer Networks and Communications top 5%
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Science Applications top 2%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Zoltán IllésVeronika StoffováMaria Simona RaboacăS. B. GoyalTraian Candin MihălţanAnand Singh RajawatDeepak KumarArpit Jain
- Topics
- Online Learning and Analytics (25 papers)IoT and Edge/Fog Computing (17 papers)Blockchain Technology Applications and Security (14 papers)
- Cited by
- Computer Science ApplicationsComputer Networks and CommunicationsHealth Information Management
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessSensors
In The Last Decade
Chaman Verma
111 papers receiving 898 citations
Peers
Comparison fields: 5 of 115
- Computer Networks and Communications 248
- Artificial Intelligence 215
- Information Systems 188
- Computer Science Applications 184
- Computer Vision and Pattern Recognition 137
Countries citing papers authored by Chaman Verma
This map shows the geographic impact of Chaman 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 Chaman Verma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaman Verma more than expected).
Fields of papers citing papers by Chaman Verma
This network shows the impact of papers produced by Chaman 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 Chaman Verma. The network helps show where Chaman Verma may publish in the future.
Co-authorship network of co-authors of Chaman Verma
This figure shows the co-authorship network connecting the top 25 collaborators of Chaman Verma. A scholar is included among the top collaborators of Chaman 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 Chaman Verma. Chaman 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 | 2 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 6 | |
| 6 | 13 | |
| 7 | 12 | |
| 8 | 26 | |
| 9 | 2 | |
| 10 | 32 | |
| 11 | 3 | |
| 12 | 6 | |
| 13 | 1 | |
| 14 | 49 | |
| 15 | 6 | |
| 16 | 13 | |
| 17 | 13 | |
| 18 | 2 | |
| 19 | 7 | |
| 20 | 34 |
About Chaman Verma
Chaman Verma is a scholar working on Computer Science Applications, Information Systems and Health Information Management, having authored 121 papers that have together received 980 indexed citations. Recurring topics across this work include Online Learning and Analytics (25 papers), IoT and Edge/Fog Computing (17 papers) and Blockchain Technology Applications and Security (14 papers). The work is most often cited by research in Computer Science Applications (184 citations), Computer Networks and Communications (248 citations) and Health Information Management (49 citations). Chaman Verma has collaborated with scholars based in India, Hungary and Romania. Frequent co-authors include Zoltán Illés, Veronika Stoffová, Maria Simona Raboacă, S. B. Goyal, Traian Candin Mihălţan, Anand Singh Rajawat, Deepak Kumar, Arpit Jain, Ahmad S. Tarawneh and Neeraj Kumar. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.
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.