Justin Varghese

60 total papers · 520 total citations
38 papers, 321 citations indexed

About

Justin Varghese is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing. According to data from OpenAlex, Justin Varghese has authored 38 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Vision and Pattern Recognition, 19 papers in Media Technology and 7 papers in Signal Processing. Recurrent topics in Justin Varghese's work include Image and Signal Denoising Methods (21 papers), Advanced Image Fusion Techniques (16 papers) and Advanced Image Processing Techniques (9 papers). Justin Varghese is often cited by papers focused on Image and Signal Denoising Methods (21 papers), Advanced Image Fusion Techniques (16 papers) and Advanced Image Processing Techniques (9 papers). Justin Varghese collaborates with scholars based in India, Saudi Arabia and United States. Justin Varghese's co-authors include Krishnan Nallaperumal, Nasser Tairan, Priyan Malarvizhi Kumar, Prasad Calyam, Kamalraj Subramaniam, Songjie Wang, Muhammad Asif Jan, Abdulmohsen Algarni, S. Ravi and D. Murugan and has published in prestigious journals such as Journal of Ambient Intelligence and Humanized Computing, Arabian Journal for Science and Engineering and AEU - International Journal of Electronics and Communications.

In The Last Decade

Justin Varghese

36 papers receiving 297 citations

Author Peers

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

Author						Papers	Cites
Justin Varghese	232	159	66	44	37	38	321
Daniel Kostrzewa	147 0.6×	95 0.6×	50 0.8×	78 1.8×	25 0.7×	42	312
Junping Du	184 0.8×	54 0.3×	27 0.4×	84 1.9×	43 1.2×	32	319
Minoru Maruyama	231 1.0×	55 0.3×	41 0.6×	46 1.0×	13 0.4×	44	302
Zhongqin Bi	115 0.5×	112 0.7×	19 0.3×	99 2.3×	46 1.2×	34	346
Jianping Hu	214 0.9×	48 0.3×	18 0.3×	28 0.6×	16 0.4×	37	297
Farah Torkamani‐Azar	299 1.3×	73 0.5×	78 1.2×	41 0.9×	8 0.2×	31	354
Pedro E. López-de-Teruel	171 0.7×	51 0.3×	36 0.5×	79 1.8×	18 0.5×	33	355
R. V. Dharaskar	156 0.7×	30 0.2×	44 0.7×	100 2.3×	17 0.5×	45	348
P. Gupta	151 0.7×	40 0.3×	100 1.5×	40 0.9×	5 0.1×	41	298
Francisco Morán	247 1.1×	40 0.3×	48 0.7×	23 0.5×	20 0.5×	54	348

Countries citing papers authored by Justin Varghese

Since Specialization

Citations

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

Fields of papers citing papers by Justin Varghese

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Justin Varghese

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