Ajit Narayanan

1.7k total citations
98 papers, 939 citations indexed

About

Ajit Narayanan is a scholar working on Artificial Intelligence, Molecular Biology and Signal Processing. According to data from OpenAlex, Ajit Narayanan has authored 98 papers receiving a total of 939 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 14 papers in Molecular Biology and 14 papers in Signal Processing. Recurrent topics in Ajit Narayanan's work include Advanced Malware Detection Techniques (9 papers), Network Security and Intrusion Detection (7 papers) and Horticultural and Viticultural Research (7 papers). Ajit Narayanan is often cited by papers focused on Advanced Malware Detection Techniques (9 papers), Network Security and Intrusion Detection (7 papers) and Horticultural and Viticultural Research (7 papers). Ajit Narayanan collaborates with scholars based in New Zealand, United Kingdom and Australia. Ajit Narayanan's co-authors include Michael Greco, Richard J. Siegert, Oleg N. Medvedev, Christian U. Krägeloh, John Campbell, Edward Keedwell, Subana Shanmuganathan, Jacqueline Whalley, Suzanne H Richards and Andy Dickens and has published in prestigious journals such as Nature Communications, Journal of Applied Physics and British Journal of Cancer.

In The Last Decade

Ajit Narayanan

90 papers receiving 897 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ajit Narayanan 164 121 109 103 99 98 939
Arfan Ahmed 365 2.2× 208 1.7× 94 0.9× 86 0.8× 45 0.5× 67 1.6k
Frans Henskens 117 0.7× 48 0.4× 99 0.9× 57 0.6× 56 0.6× 95 1.0k
Wiebe R. Pestman 76 0.5× 93 0.8× 69 0.6× 71 0.7× 94 0.9× 29 1.4k
Zhenxing Xu 320 2.0× 99 0.8× 38 0.3× 89 0.9× 107 1.1× 51 1.2k
Richard M. Golden 327 2.0× 74 0.6× 97 0.9× 33 0.3× 40 0.4× 66 1.3k
Olle Bälter 114 0.7× 81 0.7× 151 1.4× 46 0.4× 23 0.2× 59 848
Ian Barnett 77 0.5× 383 3.2× 78 0.7× 172 1.7× 102 1.0× 61 1.1k
Michael B. Spring 305 1.9× 119 1.0× 133 1.2× 161 1.6× 76 0.8× 66 1.2k
Steven Gregory 390 2.4× 58 0.5× 148 1.4× 99 1.0× 166 1.7× 89 1.7k
Rachel Harris 395 2.4× 52 0.4× 76 0.7× 80 0.8× 63 0.6× 38 1.1k

Countries citing papers authored by Ajit Narayanan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ajit Narayanan

This figure shows the co-authorship network connecting the top 25 collaborators of Ajit Narayanan. A scholar is included among the top collaborators of Ajit Narayanan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ajit Narayanan. Ajit Narayanan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Turner‐Stokes, Lynne, Stephen Ashford, Klemens Fheodoroff, et al.. (2025). Pain Reduction with Repeated Injections of Botulinum Toxin A in Upper Limb Spasticity: A Longitudinal Analysis from the ULIS-III Study. Toxins. 17(3). 117–117.
2.
Narayanan, Ajit, et al.. (2024). Multi-Tracking Sensor Architectures for Reconstructing Autonomous Vehicle Crashes: An Exploratory Study. Sensors. 24(13). 4194–4194. 1 indexed citations
3.
Narayanan, Ajit, et al.. (2024). Repurposing fluvoxamine as an inhibitor for NUDT5 in breast cancer cell: an in silico and in vitro study. In Silico Pharmacology. 13(1). 5–5. 1 indexed citations
4.
Cai, Shanqing, Subhashini Venugopalan, Xiang Xiao, et al.. (2024). Using large language models to accelerate communication for eye gaze typing users with ALS. Nature Communications. 15(1). 9449–9449. 5 indexed citations
5.
Chen, Rujia, et al.. (2024). Interpreting CNN models for musical instrument recognition using multi-spectrogram heatmap analysis: a preliminary study. Frontiers in Artificial Intelligence. 7. 1499913–1499913. 2 indexed citations
6.
Chen, Rujia, et al.. (2023). Semi-Supervised Deep Learning for Estimating Fur Seal Numbers. Tuwhera (Auckland University of Technology). 28. 1–5.
7.
Narayanan, Ajit, Wendy L. Magee, & Richard J. Siegert. (2023). Machine learning and network analysis for diagnosis and prediction in disorders of consciousness. BMC Medical Informatics and Decision Making. 23(1). 41–41. 1 indexed citations
8.
Narayanan, Ajit. (2023). Machine Ethics and Cognitive Robotics. Tuwhera (Auckland University of Technology). 4(2). 33–41.
9.
Whalley, Jacqueline, et al.. (2017). Exploring the Effects of Gap-Penalties in Sequence-Alignment Approach to Polymorphic Virus Detection. Journal of Information Security. 8(4). 296–327. 2 indexed citations
10.
Kao, Chi, Nishi Karunasinghe, Karen Bishop, et al.. (2017). Environmental factors and risk of aggressive prostate cancer among a population of New Zealand men – a genotypic approach. Molecular BioSystems. 13(4). 681–698. 13 indexed citations
11.
Narayanan, Ajit & Michael Greco. (2016). Patient Experience of Australian General Practices. Big Data. 4(1). 31–46. 3 indexed citations
12.
Liu, Fan & Ajit Narayanan. (2013). Roundabout collision avoidance for multiple robots based on minimum enclosing rectangle. Adaptive Agents and Multi-Agents Systems. 1375–1376. 1 indexed citations
13.
Narayanan, Ajit, et al.. (2013). The Reliability of Big “Patient Satisfaction” Data. Big Data. 1(3). 141–151. 5 indexed citations
14.
Liu, Fan, Ajit Narayanan, & Quan Bai. (2012). Effective methods for generating collision free paths for multiple robots based on collision type (demonstration). Adaptive Agents and Multi-Agents Systems. 3. 1459–1460. 4 indexed citations
15.
Shanmuganathan, Subana, et al.. (2011). Analysing the climate variability in the wine regions of New Zealand and Chile: a GIS perspective. Chan, F., Marinova, D. and Anderssen, R.S. (eds) MODSIM2011, 19th International Congress on Modelling and Simulation.. 1 indexed citations
16.
Liu, Fan & Ajit Narayanan. (2011). Real time replanning based on A* for collision avoidance in multi-robot systems. 473–479. 6 indexed citations
17.
Ahmad, Waseem & Ajit Narayanan. (2010). Feature weighing for efficient clustering. 236–242.
18.
Keedwell, Edward, Ajit Narayanan, & Dragan Savić. (1999). Using genetic algorithms to extract rules from trained neural networks. Genetic and Evolutionary Computation Conference. 793–793. 8 indexed citations
19.
Narayanan, Ajit. (1990). Philosophy of artificial intelligence. Ellis Horwood eBooks. 157 indexed citations
20.
Narayanan, Ajit. (1986). Why AI cannot be wrong. John Wiley & Sons, Inc. eBooks. 43–53. 6 indexed citations

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.

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