Madhushi Verma
- Computer Networks and Communications top 10%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Cognitive Neuroscience
- Co-authors
- Gaurav SingalSunil KumarShashank Sheshar SinghJagendra SinghSahar Ahmed IdrisHammam AlshazlyHeung-No LeeManjit Kaur
- Topics
- Artificial Intelligence in Healthcare (6 papers)Human Pose and Action Recognition (6 papers)Advanced Neural Network Applications (6 papers)
- Cited by
- Human-Computer InteractionComputer Networks and CommunicationsHealth Information Management
- Partner nations
- IndiaSaudi ArabiaEgypt
In The Last Decade
Madhushi Verma
33 papers receiving 424 citations
Peers
Comparison fields: 5 of 84
- Computer Networks and Communications 123
- Artificial Intelligence 102
- Computer Vision and Pattern Recognition 101
- Electrical and Electronic Engineering 70
- Cognitive Neuroscience 65
Countries citing papers authored by Madhushi Verma
This map shows the geographic impact of Madhushi 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 Madhushi Verma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Madhushi Verma more than expected).
Fields of papers citing papers by Madhushi Verma
This network shows the impact of papers produced by Madhushi 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 Madhushi Verma. The network helps show where Madhushi Verma may publish in the future.
Co-authorship network of co-authors of Madhushi Verma
This figure shows the co-authorship network connecting the top 25 collaborators of Madhushi Verma. A scholar is included among the top collaborators of Madhushi 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 Madhushi Verma. Madhushi 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 | 1 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 6 | |
| 8 | 6 | |
| 9 | 9 | |
| 10 | 52 | |
| 11 | 1 | |
| 12 | 0 | |
| 13 | 17 | |
| 14 | 37 | |
| 15 | 11 | |
| 16 | 48 | |
| 17 | 6 | |
| 18 | 72 | |
| 19 | 7 | |
| 20 | 1 |
About Madhushi Verma
Madhushi Verma is a scholar working on Health Information Management, Computer Vision and Pattern Recognition and Health Informatics, having authored 40 papers that have together received 453 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (6 papers), Human Pose and Action Recognition (6 papers) and Advanced Neural Network Applications (6 papers). The work is most often cited by research in Human-Computer Interaction (35 citations), Computer Networks and Communications (123 citations) and Health Information Management (25 citations). Madhushi Verma has collaborated with scholars based in India, Saudi Arabia and Egypt. Frequent co-authors include Gaurav Singal, Sunil Kumar, Shashank Sheshar Singh, Jagendra Singh, Sahar Ahmed Idris, Hammam Alshazly, Heung-No Lee, Manjit Kaur, K.K. Shukla and Dilbag Singh. Their work appears in journals such as IEEE Access, IEEE Transactions on Fuzzy Systems and Neural Computing and Applications.
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.