Suren Jayasuriya

128 total papers · 839 total citations
62 papers, 481 citations indexed

About

Suren Jayasuriya is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Electrical and Electronic Engineering. According to data from OpenAlex, Suren Jayasuriya has authored 62 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 12 papers in Media Technology and 12 papers in Electrical and Electronic Engineering. Recurrent topics in Suren Jayasuriya's work include Advanced Optical Sensing Technologies (10 papers), CCD and CMOS Imaging Sensors (10 papers) and Advanced Vision and Imaging (9 papers). Suren Jayasuriya is often cited by papers focused on Advanced Optical Sensing Technologies (10 papers), CCD and CMOS Imaging Sensors (10 papers) and Advanced Vision and Imaging (9 papers). Suren Jayasuriya collaborates with scholars based in United States, Japan and United Kingdom. Suren Jayasuriya's co-authors include Adrian Sampson, Alyosha Molnar, Jagpreet Chhatwal, Elamin H. Elbasha, S. Sivaramakrishnan, Andreas Spanias, Nadia Kellam, Ashok Veeraraghavan, Pavan Turaga and Yasuhiro Mukaigawa and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the IEEE and Optics Letters.

In The Last Decade

Suren Jayasuriya

59 papers receiving 464 citations

Author Peers

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

Author						Papers	Cites
Suren Jayasuriya	189	123	70	65	62	62	481
Stephen J. Carey	184 1.0×	266 2.2×	32 0.5×	33 0.5×	60 1.0×	40	523
Philipp Zhang	145 0.8×	282 2.3×	15 0.2×	22 0.3×	19 0.3×	48	473
Jiao Wang	129 0.7×	241 2.0×	10 0.1×	83 1.3×	42 0.7×	64	525
Mu Qiao	198 1.0×	72 0.6×	32 0.5×	43 0.7×	51 0.8×	26	474
Chensheng Wu	70 0.4×	173 1.4×	33 0.5×	19 0.3×	54 0.9×	56	444
Jia Wang	79 0.4×	38 0.3×	11 0.2×	125 1.9×	18 0.3×	35	477
Carl E. Halford	62 0.3×	245 2.0×	83 1.2×	27 0.4×	46 0.7×	63	472
Takuya Funatomi	296 1.6×	33 0.3×	106 1.5×	47 0.7×	57 0.9×	87	520
S. H. Oh	60 0.3×	127 1.0×	37 0.5×	106 1.6×	14 0.2×	47	540
Yu Hou	109 0.6×	181 1.5×	39 0.6×	48 0.7×	25 0.4×	43	532

Countries citing papers authored by Suren Jayasuriya

Since Specialization

Citations

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

Fields of papers citing papers by Suren Jayasuriya

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suren Jayasuriya

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

All Works

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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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