Amit Kumar Goel
Impact in
- Hardware and Architecture top 10%
- Embedded Systems Design Techniques
- Accounting top 10%
- Financial Distress and Bankruptcy Prediction
Papers in
-
- Blockchain Technology Applications and Security 4
- Web Data Mining and Analysis 4
- Co-authors
- Adesh Kumar (4 shared papers)Rajiv Gupta (1 shared paper)Manish Kewalramani (1 shared paper)W. Robert Lee (1 shared paper)Anurag Barthwal (1 shared paper)Jin Yang (2 shared papers)J. Peter Kincaid (2 shared papers)Sandeep Bhatia (6 shared papers)
- Journals
- Multimedia Tools and Applications (1 paper)Journal of Materials in Civil Engineering (1 paper)Logical Methods in Computer Science (1 paper)Modeling Earth Systems and Environment (1 paper)National Academy Science Letters (1 paper)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Amit Kumar Goel
54 papers receiving 601 citations
Peers
Comparison fields: 5 of 114
- Hardware and Architecture 43
- Accounting 67
- Artificial Intelligence 162
- Software 17
- Civil and Structural Engineering 95
Countries citing papers authored by Amit Kumar Goel
This map shows the geographic impact of Amit Kumar Goel'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 Amit Kumar Goel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit Kumar Goel more than expected).
Fields of papers citing papers by Amit Kumar Goel
This network shows the impact of papers produced by Amit Kumar Goel. 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 Amit Kumar Goel. The network helps show where Amit Kumar Goel may publish in the future.
Co-authors
The 25 scholars most cited alongside Amit Kumar Goel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 139 | |
| 2 | 2006 | 97 | |
| 3 | 2020 | 91 | |
| 4 | 2020 | 60 | |
| 5 | 2000 | 34 | |
| 6 | 2024 | 21 | |
| 7 | 2014 | 13 | |
| 8 | 2020 | 12 | |
| 9 | 2023 | 12 | |
| 10 | 2021 | 11 | |
| 11 | 2023 | 11 | |
| 12 | 2021 | 10 | |
| 13 | 2015 | 10 | |
| 14 | 2009 | 10 | |
| 15 | 2002 | 9 | |
| 16 | 2008 | 9 | |
| 17 | 2022 | 9 | |
| 18 | 2021 | 7 | |
| 19 | 2022 | 7 | |
| 20 | 2023 | 6 |
About Amit Kumar Goel
Amit Kumar Goel is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Computer Networks and Communications, having authored 63 papers that have together received 675 indexed citations. Recurring topics across this work include Formal Methods in Verification (9 papers), Software Testing and Debugging Techniques (6 papers), COVID-19 diagnosis using AI (6 papers), Artificial Intelligence in Healthcare (5 papers), Blockchain Technology Applications and Security (4 papers), Face and Expression Recognition (4 papers), Web Data Mining and Analysis (4 papers) and Brain Tumor Detection and Classification (4 papers). The work is most often cited by research in Hardware and Architecture (43 citations), Accounting (67 citations), Artificial Intelligence (162 citations), Software (17 citations) and Civil and Structural Engineering (95 citations). Amit Kumar Goel has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Adesh Kumar, Rajiv Gupta, Manish Kewalramani, W. Robert Lee, Anurag Barthwal, Jin Yang, J. Peter Kincaid, Sandeep Bhatia, Mohammad Khalid Imam Rahmani and Shweta. Their work appears in journals such as Multimedia Tools and Applications, Journal of Materials in Civil Engineering, Logical Methods in Computer Science, Modeling Earth Systems and Environment and National Academy Science Letters.
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.