Atul Rawal
- Artificial Intelligence top 10%
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Information Systems
- Electrical and Electronic Engineering
- Co-authors
- Danda B. RawatBrian M. SadlerJames McCoyRobert St. AmantAdrienne RaglinZuben E. SaunaOsman N. YoğurtçuQianlong Wang
- Topics
- Explainable Artificial Intelligence (XAI) (3 papers)Collagen: Extraction and Characterization (3 papers)Adversarial Robustness in Machine Learning (3 papers)
- Journals
- Nature CommunicationsACM Computing SurveysIEEE Transactions on Intelligent Transportation Systems
- Partner nations
- United States
In The Last Decade
Atul Rawal
17 papers receiving 218 citations
Peers
Comparison fields: 5 of 71
- Artificial Intelligence 117
- Computer Networks and Communications 40
- Computer Vision and Pattern Recognition 31
- Information Systems 24
- Electrical and Electronic Engineering 24
Countries citing papers authored by Atul Rawal
This map shows the geographic impact of Atul Rawal'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 Atul Rawal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Atul Rawal more than expected).
Fields of papers citing papers by Atul Rawal
This network shows the impact of papers produced by Atul Rawal. 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 Atul Rawal. The network helps show where Atul Rawal may publish in the future.
Co-authorship network of co-authors of Atul Rawal
This figure shows the co-authorship network connecting the top 25 collaborators of Atul Rawal. A scholar is included among the top collaborators of Atul Rawal 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 Atul Rawal. Atul Rawal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 27 | |
| 10 | 47 | |
| 11 | 3 | |
| 12 | 2 | |
| 13 | 113 | |
| 14 | 13 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 1 |
About Atul Rawal
Atul Rawal is a scholar working on Health Informatics, Biomaterials and Hematology, having authored 18 papers that have together received 231 indexed citations. Recurring topics across this work include Explainable Artificial Intelligence (XAI) (3 papers), Collagen: Extraction and Characterization (3 papers) and Adversarial Robustness in Machine Learning (3 papers). The work is most often cited by research in Health Informatics (18 citations), Artificial Intelligence (117 citations) and Signal Processing (19 citations). Atul Rawal has collaborated with scholars based in United States. Frequent co-authors include Danda B. Rawat, Brian M. Sadler, James McCoy, Robert St. Amant, Adrienne Raglin, Zuben E. Sauna, Osman N. Yoğurtçu, Qianlong Wang, Hong Yang and Ram Mohan. Their work appears in journals such as Nature Communications, ACM Computing Surveys and IEEE Transactions on Intelligent Transportation Systems.
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.