Ashima Kukkar
Impact in
- Software top 5%
- Software Reliability and Analysis Research
- Software Testing and Debugging Techniques
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- Online Learning and Analytics
Papers in
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- Software Engineering Research 9
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- Imbalanced Data Classification Techniques 4
- Co-authors
- Rajni Mohana (6 shared papers)Anand Nayyar (5 shared papers)Aman Sharma (3 shared papers)Yugal Kumar (6 shared papers)Byeong-Gwon Kang (1 shared paper)Naveen Chilamkurti (1 shared paper)Amit Sharma (2 shared papers)K. R. Ramkumar (2 shared papers)
- Journals
- Education and Information Technologies (2 papers)IEEE Access (2 papers)Expert Systems with Applications (2 papers)International Journal of Embedded Systems (2 papers)Multimedia Tools and Applications (1 paper)
- Partner nations
- IndiaVietnamSaudi Arabia
In The Last Decade
Ashima Kukkar
24 papers receiving 332 citations
Peers
Comparison fields: 5 of 69
- Software 65
- Computer Science Applications 71
- Health Information Management 29
- Information Systems 128
- Artificial Intelligence 113
Countries citing papers authored by Ashima Kukkar
This map shows the geographic impact of Ashima Kukkar'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 Ashima Kukkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashima Kukkar more than expected).
Fields of papers citing papers by Ashima Kukkar
This network shows the impact of papers produced by Ashima Kukkar. 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 Ashima Kukkar. The network helps show where Ashima Kukkar may publish in the future.
Co-authors
The 25 scholars most cited alongside Ashima Kukkar, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 57 | |
| 2 | 2023 | 42 | |
| 3 | 2020 | 37 | |
| 4 | 2022 | 36 | |
| 5 | 2018 | 26 | |
| 6 | 2024 | 22 | |
| 7 | 2021 | 21 | |
| 8 | 2022 | 20 | |
| 9 | 2022 | 15 | |
| 10 | 2025 | 10 | |
| 11 | 2023 | 10 | |
| 12 | 2022 | 10 | |
| 13 | 2020 | 9 | |
| 14 | 2025 | 6 | |
| 15 | 2020 | 5 | |
| 16 | 2024 | 4 | |
| 17 | 2022 | 3 | |
| 18 | 2018 | 3 | |
| 19 | 2023 | 3 | |
| 20 | 2023 | 2 |
About Ashima Kukkar
Ashima Kukkar is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Health Information Management and Signal Processing, having authored 26 papers that have together received 345 indexed citations. Recurring topics across this work include Software Engineering Research (9 papers), Software System Performance and Reliability (7 papers), Artificial Intelligence in Healthcare (5 papers), Online Learning and Analytics (5 papers), Imbalanced Data Classification Techniques (4 papers), Software Reliability and Analysis Research (4 papers), Advanced Malware Detection Techniques (4 papers) and COVID-19 epidemiological studies (2 papers). The work is most often cited by research in Software (65 citations), Computer Science Applications (71 citations), Health Information Management (29 citations), Information Systems (128 citations) and Artificial Intelligence (113 citations). Ashima Kukkar has collaborated with scholars based in India, Vietnam and Saudi Arabia. Frequent co-authors include Rajni Mohana, Anand Nayyar, Aman Sharma, Yugal Kumar, Byeong-Gwon Kang, Naveen Chilamkurti, Amit Sharma, K. R. Ramkumar, Muhammad Bilal and Kyung Sup Kwak. Their work appears in journals such as Education and Information Technologies, IEEE Access, Expert Systems with Applications, International Journal of Embedded Systems and Multimedia Tools 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.