Adit Goyal
Impact in
- Health Informatics top 10%
- Information Systems top 5%
- Blockchain Technology Applications and Security
Papers in
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- Blockchain Technology Applications and Security 4
-
- Anomaly Detection Techniques and Applications 2
- Adversarial Robustness in Machine Learning 1
- Co-authors
- Vinay Chamola (8 shared papers)Vikas Hassija (4 shared papers)Mohsen Guizani (2 shared papers)Biplab Sikdar (3 shared papers)Tejasvi Alladi (1 shared paper)Nishad Sahu (1 shared paper)Tilak Agerwala (1 shared paper)Huỳnh Thị Thanh Bình (1 shared paper)
- Journals
- IEEE Transactions on Computational Social Systems (2 papers)IEEE Internet of Things Journal (1 paper)IEEE Communications Surveys & Tutorials (1 paper)IBM Journal of Research and Development (1 paper)European Annals of Otorhinolaryngology Head and Neck Diseases (1 paper)
- Partner nations
- IndiaUnited StatesSingapore
In The Last Decade
Adit Goyal
11 papers receiving 303 citations
Peers
Comparison fields: 5 of 80
- Health Informatics 13
- Information Systems 134
- Computer Networks and Communications 104
- Artificial Intelligence 99
- Management Information Systems 19
Countries citing papers authored by Adit Goyal
This map shows the geographic impact of Adit Goyal'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 Adit Goyal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adit Goyal more than expected).
Fields of papers citing papers by Adit Goyal
This network shows the impact of papers produced by Adit Goyal. 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 Adit Goyal. The network helps show where Adit Goyal may publish in the future.
Co-authors
The 25 scholars most cited alongside Adit Goyal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 86 | |
| 2 | 2022 | 85 | |
| 3 | 2022 | 45 | |
| 4 | 2020 | 39 | |
| 5 | 1984 | 24 | |
| 6 | 2022 | 15 | |
| 7 | 2023 | 9 | |
| 8 | 2021 | 8 | |
| 9 | 2022 | 7 | |
| 10 | 2021 | 3 | |
| 11 | 2021 | 2 |
About Adit Goyal
Adit Goyal is a scholar working on Information Systems, Artificial Intelligence, Infectious Diseases, Computer Networks and Communications and Epidemiology, having authored 11 papers that have together received 323 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (4 papers), Antifungal resistance and susceptibility (2 papers), Anomaly Detection Techniques and Applications (2 papers), Advanced Queuing Theory Analysis (1 paper), IoT and Edge/Fog Computing (1 paper), Data-Driven Disease Surveillance (1 paper), Adversarial Robustness in Machine Learning (1 paper) and Transportation and Mobility Innovations (1 paper). The work is most often cited by research in Health Informatics (13 citations), Information Systems (134 citations), Computer Networks and Communications (104 citations), Artificial Intelligence (99 citations) and Management Information Systems (19 citations). Adit Goyal has collaborated with scholars based in India, United States and Singapore. Frequent co-authors include Vinay Chamola, Vikas Hassija, Mohsen Guizani, Biplab Sikdar, Tejasvi Alladi, Nishad Sahu, Tilak Agerwala, Huỳnh Thị Thanh Bình, Nadra Guizani and Vikas Saxena. Their work appears in journals such as IEEE Transactions on Computational Social Systems, IEEE Internet of Things Journal, IEEE Communications Surveys & Tutorials, IBM Journal of Research and Development and European Annals of Otorhinolaryngology Head and Neck Diseases.
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.