Sanath Narayan

58 total papers · 1.3k total citations
18 papers, 607 citations indexed

About

Sanath Narayan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Sanath Narayan has authored 18 papers receiving a total of 607 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 1 paper in Signal Processing. Recurrent topics in Sanath Narayan's work include Human Pose and Action Recognition (7 papers), Anomaly Detection Techniques and Applications (6 papers) and Multimodal Machine Learning Applications (5 papers). Sanath Narayan is often cited by papers focused on Human Pose and Action Recognition (7 papers), Anomaly Detection Techniques and Applications (6 papers) and Multimodal Machine Learning Applications (5 papers). Sanath Narayan collaborates with scholars based in United Arab Emirates, United States and India. Sanath Narayan's co-authors include Fahad Shahbaz Khan, Ling Shao, Hisham Cholakkal, Salman Khan, Rao Muhammad Anwer, Akshita Gupta, Mubarak Shah, K J Joseph, Bernard Ghanem and Devraj Mandal and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and International Journal of Computer Vision.

In The Last Decade

Sanath Narayan

14 papers receiving 589 citations

Hit Papers

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Author Peers

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

Author Last Decade Papers Cites
Sanath Narayan 484 363 78 59 30 18 607
Ali Diba 502 1.0× 265 0.7× 69 0.9× 83 1.4× 27 0.9× 17 578
Guangle Yao 347 0.7× 159 0.4× 66 0.8× 68 1.2× 35 1.2× 30 578
Baochang Zhang 442 0.9× 148 0.4× 101 1.3× 82 1.4× 85 2.8× 17 566
Qian Yu 297 0.6× 223 0.6× 65 0.8× 27 0.5× 16 0.5× 34 610
Tan Yu 439 0.9× 207 0.6× 35 0.4× 29 0.5× 10 0.3× 27 645
Matías Mendieta 442 0.9× 222 0.6× 144 1.8× 35 0.6× 128 4.3× 13 697
Wei Feng 433 0.9× 128 0.4× 77 1.0× 133 2.3× 66 2.2× 43 533
Zhihai Lu 224 0.5× 251 0.7× 63 0.8× 36 0.6× 11 0.4× 24 634
Mohammadreza Babaee 525 1.1× 124 0.3× 192 2.5× 60 1.0× 57 1.9× 18 635
Wenliang Zhao 482 1.0× 280 0.8× 29 0.4× 42 0.7× 25 0.8× 18 655

Countries citing papers authored by Sanath Narayan

Since Specialization
Citations

This map shows the geographic impact of Sanath Narayan'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 Sanath Narayan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanath Narayan more than expected).

Fields of papers citing papers by Sanath Narayan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sanath Narayan. 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 Sanath Narayan. The network helps show where Sanath Narayan may publish in the future.

Co-authorship network of co-authors of Sanath Narayan

This figure shows the co-authorship network connecting the top 25 collaborators of Sanath Narayan. A scholar is included among the top collaborators of Sanath Narayan 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 Sanath Narayan. Sanath Narayan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

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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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