Chandan Kumar Verma
- Molecular Biology
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition
- Information Systems
- Health Information Management top 5%
- Co-authors
- Namita SrivastavaRabia Musheer AzizManoj K. JhaAfzal HussainK. K. PandeySujan MajumderVijaya RaniPriya Singh
- Topics
- Stock Market Forecasting Methods (7 papers)Gene expression and cancer classification (7 papers)Blind Source Separation Techniques (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaArtificial Intelligence ReviewArabian Journal of Chemistry
- Partner nations
- IndiaSaudi Arabia
In The Last Decade
Chandan Kumar Verma
27 papers receiving 434 citations
Peers
Comparison fields: 5 of 93
- Molecular Biology 215
- Artificial Intelligence 206
- Computer Vision and Pattern Recognition 53
- Information Systems 39
- Health Information Management 38
Countries citing papers authored by Chandan Kumar Verma
This map shows the geographic impact of Chandan Kumar 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 Chandan Kumar Verma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chandan Kumar Verma more than expected).
Fields of papers citing papers by Chandan Kumar Verma
This network shows the impact of papers produced by Chandan Kumar 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 Chandan Kumar Verma. The network helps show where Chandan Kumar Verma may publish in the future.
Co-authorship network of co-authors of Chandan Kumar Verma
This figure shows the co-authorship network connecting the top 25 collaborators of Chandan Kumar Verma. A scholar is included among the top collaborators of Chandan Kumar 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 Chandan Kumar Verma. Chandan Kumar 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 | 0 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 8 | |
| 11 | 2 | |
| 12 | 9 | |
| 13 | 1 | |
| 14 | 5 | |
| 15 | Molecular docking and in silico ADMET study reveals 3-(5-{[4-(aminomethyl) piperidin-1-yl] methyl}-1h-indol-2-yl)-1h-indazole-6-carbonitrile as a potential inhibitor of cancer Osaka thyroid kinase | 5 |
| 16 | 24 | |
| 17 | 42 | |
| 18 | 61 | |
| 19 | 84 | |
| 20 | 10 |
About Chandan Kumar Verma
Chandan Kumar Verma is a scholar working on Management Science and Operations Research, Signal Processing and Finance, having authored 34 papers that have together received 458 indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (7 papers), Gene expression and cancer classification (7 papers) and Blind Source Separation Techniques (5 papers). The work is most often cited by research in Health Information Management (38 citations), Artificial Intelligence (206 citations) and Molecular Biology (215 citations). Chandan Kumar Verma has collaborated with scholars based in India and Saudi Arabia. Frequent co-authors include Namita Srivastava, Rabia Musheer Aziz, Manoj K. Jha, Afzal Hussain, Afzal Hussain, Afzal Hussain, K. K. Pandey, Sujan Majumder, Vijaya Rani and Priya Singh. Their work appears in journals such as SHILAP Revista de lepidopterología, Artificial Intelligence Review and Arabian Journal of Chemistry.
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.