Chinthaka Dinesh

45 total papers · 425 total citations
19 papers, 257 citations indexed

About

Chinthaka Dinesh is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Chinthaka Dinesh has authored 19 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 5 papers in Computational Mechanics. Recurrent topics in Chinthaka Dinesh's work include Advanced Graph Neural Networks (4 papers), Advanced Vision and Imaging (4 papers) and Optical measurement and interference techniques (3 papers). Chinthaka Dinesh is often cited by papers focused on Advanced Graph Neural Networks (4 papers), Advanced Vision and Imaging (4 papers) and Optical measurement and interference techniques (3 papers). Chinthaka Dinesh collaborates with scholars based in Canada, India and Japan. Chinthaka Dinesh's co-authors include Ivan V. Bajić, Gene Cheung, Stephen Makonin, Cheng Yang, Ancy Thomas, M. Rajesh, Ajay Roy, Fen Wang, Pirathayini Srikantha and Sumit Mishra and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Circuits & Systems II Express Briefs.

In The Last Decade

Chinthaka Dinesh

16 papers receiving 253 citations

Author Peers

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

Author						Papers	Cites
Chinthaka Dinesh	114	90	67	50	47	19	257
Yujing Sun	136 1.2×	77 0.9×	75 1.1×	82 1.6×	32 0.7×	26	314
Dmytro Bobkov	140 1.2×	30 0.3×	159 2.4×	26 0.5×	19 0.4×	11	326
Shubham Goel	152 1.3×	52 0.6×	19 0.3×	43 0.9×	7 0.1×	20	291
Jiazhao Zhang	155 1.4×	49 0.5×	17 0.3×	76 1.5×	19 0.4×	14	286
Jian Sun	104 0.9×	89 1.0×	10 0.1×	72 1.4×	31 0.7×	16	243
Paulo Cezar Pinto Carvalho	84 0.7×	71 0.8×	8 0.1×	21 0.4×	7 0.1×	27	210
Rohit Mohan	164 1.4×	31 0.3×	14 0.2×	52 1.0×	48 1.0×	22	250
Jiantao Gao	220 1.9×	112 1.2×	7 0.1×	35 0.7×	58 1.2×	16	320
Daniel Berjón	218 1.9×	20 0.2×	30 0.4×	39 0.8×	11 0.2×	33	325
Yichao Zhou	139 1.2×	15 0.2×	7 0.1×	45 0.9×	33 0.7×	24	243

Countries citing papers authored by Chinthaka Dinesh

Since Specialization

Citations

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

Fields of papers citing papers by Chinthaka Dinesh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chinthaka Dinesh

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