Aneesh Krishna
Impact in
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- Face recognition and analysis
- Face and Expression Recognition
- Video Surveillance and Tracking Methods
- Software top 10%
Papers in
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- Service-Oriented Architecture and Web Services 23
- Software Engineering Research 19
- Software Engineering Techniques and Practices 15
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- Advanced Software Engineering Methodologies 29
- Multi-Agent Systems and Negotiation 8
- Co-authors
- Wanquan Liu (7 shared papers)Ajmal Mian (3 shared papers)Raj P. Gopalan (11 shared papers)Duc-Son Pham (9 shared papers)Aditya Ghose (13 shared papers)Sajib Mistry (9 shared papers)Mahbuba Afrin (4 shared papers)Arshinder Kaur (6 shared papers)
In The Last Decade
Aneesh Krishna
106 papers receiving 743 citations
Peers
Comparison fields: 5 of 114
- Computer Vision and Pattern Recognition 259
- Software 43
- Information Systems 204
- Management Information Systems 59
- Artificial Intelligence 208
Countries citing papers authored by Aneesh Krishna
This map shows the geographic impact of Aneesh Krishna'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 Aneesh Krishna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aneesh Krishna more than expected).
Fields of papers citing papers by Aneesh Krishna
This network shows the impact of papers produced by Aneesh Krishna. 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 Aneesh Krishna. The network helps show where Aneesh Krishna may publish in the future.
Co-authors
The 25 scholars most cited alongside Aneesh Krishna, 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 122 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 164 | |
| 2 | 2016 | 39 | |
| 3 | 2022 | 36 | |
| 4 | 2023 | 34 | |
| 5 | 2016 | 28 | |
| 6 | 2020 | 27 | |
| 7 | 2010 | 26 | |
| 8 | A combined approach for supporting the business process model lifecycle | 2006 | 20 |
| 9 | 2016 | 19 | |
| 10 | 2015 | 18 | |
| 11 | 2014 | 15 | |
| 12 | 2017 | 15 | |
| 13 | 2016 | 13 | |
| 14 | 2019 | 13 | |
| 15 | 2018 | 12 | |
| 16 | 2012 | 12 | |
| 17 | 2014 | 11 | |
| 18 | Optimal selection of operationalizations for non-functional requirements | 2013 | 11 |
| 19 | 2012 | 11 | |
| 20 | 2014 | 10 |
About Aneesh Krishna
Aneesh Krishna is a scholar working on Information Systems, Artificial Intelligence, Management Information Systems, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 122 papers that have together received 811 indexed citations. Recurring topics across this work include Advanced Software Engineering Methodologies (29 papers), Service-Oriented Architecture and Web Services (23 papers), Business Process Modeling and Analysis (22 papers), Software Engineering Research (19 papers), Software Engineering Techniques and Practices (15 papers), Face and Expression Recognition (8 papers), Multi-Agent Systems and Negotiation (8 papers) and Advanced Neural Network Applications (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (259 citations), Software (43 citations), Information Systems (204 citations), Management Information Systems (59 citations) and Artificial Intelligence (208 citations). Aneesh Krishna has collaborated with scholars based in Australia, India and Norway. Frequent co-authors include Wanquan Liu, Ajmal Mian, Raj P. Gopalan, Duc-Son Pham, Aditya Ghose, Sajib Mistry, Mahbuba Afrin, Arshinder Kaur, Tele Tan and Senjian An. Their work appears in journals such as Journal of the Association for Information Systems, The Computer Journal, Neurocomputing, Disability and Rehabilitation Assistive Technology and Pattern Analysis 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.