Ajit Narayanan
Impact in
- Family Practice top 5%
- Clinical Reasoning and Diagnostic Skills
Papers in
- Co-authors
- Michael Greco (11 shared papers)Richard J. Siegert (15 shared papers)Christian U. Krägeloh (3 shared papers)Oleg N. Medvedev (3 shared papers)John Campbell (3 shared papers)Edward Keedwell (3 shared papers)Subana Shanmuganathan (7 shared papers)Jacqueline Whalley (4 shared papers)
- Journals
- IEEE Access (3 papers)Archives of Physical Medicine and Rehabilitation (2 papers)BMC Medical Education (2 papers)Big Data (2 papers)Journal of Affective Disorders (2 papers)
- Partner nations
- New ZealandUnited KingdomAustralia
In The Last Decade
Ajit Narayanan
90 papers receiving 897 citations
Peers
Comparison fields: 5 of 163
- Family Practice 44
- Tourism, Leisure and Hospitality Management 18
- Health Informatics 14
- Experimental and Cognitive Psychology 121
- Health Information Management 29
Countries citing papers authored by Ajit Narayanan
This map shows the geographic impact of Ajit Narayanan'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 Ajit Narayanan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ajit Narayanan more than expected).
Fields of papers citing papers by Ajit Narayanan
This network shows the impact of papers produced by Ajit Narayanan. 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 Ajit Narayanan. The network helps show where Ajit Narayanan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ajit Narayanan, 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 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Philosophy of artificial intelligence | 1990 | 157 |
| 2 | 2017 | 85 | |
| 3 | 2008 | 69 | |
| 4 | 2017 | 38 | |
| 5 | 2009 | 33 | |
| 6 | 2010 | 33 | |
| 7 | 2005 | 29 | |
| 8 | 2022 | 26 | |
| 9 | 2010 | 22 | |
| 10 | 2017 | 18 | |
| 11 | 1984 | 18 | |
| 12 | 2022 | 17 | |
| 13 | 2012 | 16 | |
| 14 | 2022 | 15 | |
| 15 | 2016 | 15 | |
| 16 | 2010 | 14 | |
| 17 | 2012 | 14 | |
| 18 | 2017 | 13 | |
| 19 | 2020 | 13 | |
| 20 | 2022 | 12 |
About Ajit Narayanan
Ajit Narayanan is a scholar working on Artificial Intelligence, Molecular Biology, Signal Processing, Computer Vision and Pattern Recognition and General Health Professions, having authored 98 papers that have together received 939 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (9 papers), Horticultural and Viticultural Research (7 papers), Network Security and Intrusion Detection (7 papers), Fermentation and Sensory Analysis (6 papers), Innovations in Medical Education (6 papers), Primary Care and Health Outcomes (5 papers), Wine Industry and Tourism (5 papers) and Robotic Path Planning Algorithms (5 papers). The work is most often cited by research in Family Practice (44 citations), Tourism, Leisure and Hospitality Management (18 citations), Health Informatics (14 citations), Experimental and Cognitive Psychology (121 citations) and Health Information Management (29 citations). Ajit Narayanan has collaborated with scholars based in New Zealand, United Kingdom and Australia. Frequent co-authors include Michael Greco, Richard J. Siegert, Christian U. Krägeloh, Oleg N. Medvedev, John Campbell, Edward Keedwell, Subana Shanmuganathan, Jacqueline Whalley, Sarah Brearley and Suzanne H Richards. Their work appears in journals such as IEEE Access, Archives of Physical Medicine and Rehabilitation, BMC Medical Education, Big Data and Journal of Affective Disorders.
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.