Vivek Kumar Verma
- Computer Vision and Pattern Recognition top 5%
- Computer Graphics and Computer-Aided Design top 2%
- Artificial Intelligence top 10%
- Water Science and Technology top 10%
- Computational Mechanics top 10%
- Co-authors
- Jai PrakashAlex PangDavid KaoYashpal SinghTarun JainAnju YadavR. D. S. YadavaSumit Srivastava
- Topics
- Computer Graphics and Visualization Techniques (4 papers)Mental Health via Writing (4 papers)Sentiment Analysis and Opinion Mining (3 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionIndustrial and Manufacturing Engineering
- Partner nations
- IndiaUnited StatesMalaysia
In The Last Decade
Vivek Kumar Verma
45 papers receiving 644 citations
Peers
Comparison fields: 5 of 123
- Computer Vision and Pattern Recognition 194
- Computer Graphics and Computer-Aided Design 132
- Artificial Intelligence 102
- Water Science and Technology 102
- Computational Mechanics 66
Countries citing papers authored by Vivek Kumar Verma
This map shows the geographic impact of Vivek 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 Vivek 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 Vivek Kumar Verma more than expected).
Fields of papers citing papers by Vivek Kumar Verma
This network shows the impact of papers produced by Vivek 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 Vivek Kumar Verma. The network helps show where Vivek Kumar Verma may publish in the future.
Co-authorship network of co-authors of Vivek Kumar Verma
This figure shows the co-authorship network connecting the top 25 collaborators of Vivek Kumar Verma. A scholar is included among the top collaborators of Vivek 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 Vivek Kumar Verma. Vivek 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 | 11 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 11 | |
| 9 | 7 | |
| 10 | 0 | |
| 11 | 18 | |
| 12 | 0 | |
| 13 | 1 | |
| 14 | 0 | |
| 15 | 10 | |
| 16 | VERMICOMPOST: QUALITY ORGANIC MANURE FOR ZOOPLANKTON PRODUCTION IN AQUACULTURE | 1 |
| 17 | Removal of dyes using low cost adsorbents | 10 |
| 18 | 46 | |
| 19 | 25 | |
| 20 | 21 |
About Vivek Kumar Verma
Vivek Kumar Verma is a scholar working on Computer Graphics and Computer-Aided Design, Health Informatics and Computer Vision and Pattern Recognition, having authored 54 papers that have together received 690 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (4 papers), Mental Health via Writing (4 papers) and Sentiment Analysis and Opinion Mining (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (132 citations), Computer Vision and Pattern Recognition (194 citations) and Industrial and Manufacturing Engineering (65 citations). Vivek Kumar Verma has collaborated with scholars based in India, United States and Malaysia. Frequent co-authors include Jai Prakash, Alex Pang, David Kao, Yashpal Singh, Tarun Jain, Anju Yadav, R. D. S. Yadava, Sumit Srivastava, Vipin Pal and Pradeep Kumar Tiwari. Their work appears in journals such as Bioresource Technology, Sensors and Actuators B Chemical and Industrial Crops and Products.
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.