Ruwan Tennakoon

87 total papers · 988 total citations
50 papers, 476 citations indexed

About

Ruwan Tennakoon is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Ruwan Tennakoon has authored 50 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 7 papers in Computational Mechanics. Recurrent topics in Ruwan Tennakoon's work include Advanced Vision and Imaging (11 papers), 3D Surveying and Cultural Heritage (7 papers) and Target Tracking and Data Fusion in Sensor Networks (6 papers). Ruwan Tennakoon is often cited by papers focused on Advanced Vision and Imaging (11 papers), 3D Surveying and Cultural Heritage (7 papers) and Target Tracking and Data Fusion in Sensor Networks (6 papers). Ruwan Tennakoon collaborates with scholars based in Australia, Denmark and United Kingdom. Ruwan Tennakoon's co-authors include Alireza Bab‐Hadiashar, Reza Hoseinnezhad, Amirali Khodadadian Gostar, David Suter, Giorgio Battistelli, Luigi Chisci, Zhenwei Cao, Rahil Garnavi, Suman Sedai and Pallab Roy and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and IEEE Transactions on Image Processing.

In The Last Decade

Ruwan Tennakoon

47 papers receiving 461 citations

Author Peers

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

Author						Papers	Cites
Ruwan Tennakoon	228	144	103	81	62	50	476
Yanjie Li	193 0.8×	108 0.8×	49 0.5×	91 1.1×	9 0.1×	62	540
J.J. Villanueva	341 1.5×	69 0.5×	67 0.7×	31 0.4×	16 0.3×	34	453
Zhen Chen	334 1.5×	56 0.4×	110 1.1×	59 0.7×	49 0.8×	48	518
Weiquan Liu	167 0.7×	83 0.6×	56 0.5×	73 0.9×	29 0.5×	50	494
Pravendra Singh	158 0.7×	148 1.0×	42 0.4×	41 0.5×	9 0.1×	47	476
Weidong Zhao	282 1.2×	49 0.3×	83 0.8×	85 1.0×	24 0.4×	58	407
Jiajia Li	161 0.7×	115 0.8×	69 0.7×	19 0.2×	10 0.2×	35	463
Peng Wu	170 0.7×	112 0.8×	21 0.2×	197 2.4×	4 0.1×	34	460
Ahmet Burak Can	167 0.7×	147 1.0×	39 0.4×	60 0.7×	3 0.0×	43	474
Qi Song	154 0.7×	160 1.1×	115 1.1×	141 1.7×	3 0.0×	35	510

Countries citing papers authored by Ruwan Tennakoon

Since Specialization

Citations

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

Fields of papers citing papers by Ruwan Tennakoon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruwan Tennakoon

This figure shows the co-authorship network connecting the top 25 collaborators of Ruwan Tennakoon. A scholar is included among the top collaborators of Ruwan Tennakoon 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 Ruwan Tennakoon. Ruwan Tennakoon 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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