Mohan Timilsina
Impact in
- Artificial Intelligence top 5%
- Explainable Artificial Intelligence (XAI)
- Machine Learning in Healthcare
- AI in cancer detection
Papers in
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- AI in cancer detection 7
- Advanced Graph Neural Networks 5
- Machine Learning in Healthcare 4
- Authorship Attribution and Profiling 3
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- scientometrics and bibliometrics research 7
- Co-authors
- Radhya Sahal (1 shared paper)Martín Serrano (2 shared papers)Meera Tandan (4 shared papers)Haixuan Yang (7 shared papers)Yogesh Acharya (1 shared paper)Mathieu d’Aquin (6 shared papers)Alejandro Ruiz Figueroa (4 shared papers)Conor Hayes (4 shared papers)
In The Last Decade
Mohan Timilsina
34 papers receiving 549 citations
Mohan Timilsina's Hit Papers
Peers
Comparison fields: 5 of 85
- Health Informatics 17
- Artificial Intelligence 211
- Computer Networks and Communications 109
- Health Information Management 36
- Statistics, Probability and Uncertainty 26
Countries citing papers authored by Mohan Timilsina
This map shows the geographic impact of Mohan Timilsina'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 Mohan Timilsina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohan Timilsina more than expected).
Fields of papers citing papers by Mohan Timilsina
This network shows the impact of papers produced by Mohan Timilsina. 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 Mohan Timilsina. The network helps show where Mohan Timilsina may publish in the future.
Co-authors
The 25 scholars most cited alongside Mohan Timilsina, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Explainable Artificial Intelligence (XAI) to Enhance Trust Management in Intrusion Detection Systems Using Decision Tree Model Hit paper breakdown → | 2021 | 238 |
| 2 | 2021 | 79 | |
| 3 | 2019 | 29 | |
| 4 | 2021 | 25 | |
| 5 | 2023 | 17 | |
| 6 | 2024 | 17 | |
| 7 | 2019 | 16 | |
| 8 | 2016 | 13 | |
| 9 | 2024 | 13 | |
| 10 | 2017 | 11 | |
| 11 | 2019 | 11 | |
| 12 | On Predicting Recurrence in Early Stage Non-small Cell Lung Cancer. | 2021 | 11 |
| 13 | 2021 | 9 | |
| 14 | 2025 | 8 | |
| 15 | 2019 | 7 | |
| 16 | 2017 | 6 | |
| 17 | 2020 | 6 | |
| 18 | 2023 | 6 | |
| 19 | 2023 | 6 | |
| 20 | 2023 | 5 |
About Mohan Timilsina
Mohan Timilsina is a scholar working on Artificial Intelligence, Statistics, Probability and Uncertainty, Information Systems, Radiology, Nuclear Medicine and Imaging and Health Information Management, having authored 40 papers that have together received 562 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (8 papers), AI in cancer detection (7 papers), scientometrics and bibliometrics research (7 papers), Advanced Graph Neural Networks (5 papers), Artificial Intelligence in Healthcare (4 papers), Machine Learning in Healthcare (4 papers), Lung Cancer Research Studies (4 papers) and Authorship Attribution and Profiling (3 papers). The work is most often cited by research in Health Informatics (17 citations), Artificial Intelligence (211 citations), Computer Networks and Communications (109 citations), Health Information Management (36 citations) and Statistics, Probability and Uncertainty (26 citations). Mohan Timilsina has collaborated with scholars based in Ireland, Czechia and Spain. Frequent co-authors include Radhya Sahal, Martín Serrano, Meera Tandan, Haixuan Yang, Yogesh Acharya, Mathieu d’Aquin, Alejandro Ruiz Figueroa, Conor Hayes, Brian Davis and Edward Curry. Their work appears in journals such as IEEE Access, Computers in Biology and Medicine, Expert Systems with Applications, Social Network Analysis and Mining and BMC Bioinformatics.
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.