T. V. Vijay Kumar

116 total papers · 1.5k total citations
67 papers, 779 citations indexed

About

T. V. Vijay Kumar is a scholar working on Computer Networks and Communications, Information Systems and Signal Processing. According to data from OpenAlex, T. V. Vijay Kumar has authored 67 papers receiving a total of 779 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computer Networks and Communications, 36 papers in Information Systems and 30 papers in Signal Processing. Recurrent topics in T. V. Vijay Kumar's work include Advanced Database Systems and Queries (32 papers), Data Management and Algorithms (29 papers) and Data Mining Algorithms and Applications (25 papers). T. V. Vijay Kumar is often cited by papers focused on Advanced Database Systems and Queries (32 papers), Data Management and Algorithms (29 papers) and Data Mining Algorithms and Applications (25 papers). T. V. Vijay Kumar collaborates with scholars based in India, Saudi Arabia and Slovenia. T. V. Vijay Kumar's co-authors include Santosh Kumar, José C. Patrón, Éric Blanchart, Patrick Lavelle, B. Pashanasi, George Gardner Brown, B. K. Senapati, Carlos Fragoso, Achinta Bera and Ajay Mandal and has published in prestigious journals such as Applied Soil Ecology, Journal of Clinical Medicine and The Scientific World JOURNAL.

In The Last Decade

T. V. Vijay Kumar

62 papers receiving 725 citations

Author Peers

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

Author						Papers	Cites
T. V. Vijay Kumar	378	331	263	124	107	67	779
Honglei Zhuang	85 0.2×	201 0.6×	77 0.3×	414 3.3×	53 0.5×	45	907
Jianhui Huang	169 0.4×	57 0.2×	100 0.4×	215 1.7×	45 0.4×	56	715
Xiaoshuai Zhang	212 0.6×	387 1.2×	25 0.1×	94 0.8×	34 0.3×	50	780
Anil Kumar Singh	228 0.6×	237 0.7×	53 0.2×	228 1.8×	119 1.1×	60	647
Danielo G. Gomes	396 1.0×	241 0.7×	49 0.2×	99 0.8×	11 0.1×	61	730
R.A. de By	100 0.3×	56 0.2×	173 0.7×	110 0.9×	25 0.2×	64	819
Qingguo Zhou	73 0.2×	170 0.5×	16 0.1×	58 0.5×	14 0.1×	57	670
Guo Ya-jun	267 0.7×	234 0.7×	47 0.2×	149 1.2×	25 0.2×	81	681
David George	517 1.4×	54 0.2×	21 0.1×	62 0.5×	19 0.2×	31	770
Muhammad Rashid Naeem	306 0.8×	164 0.5×	303 1.2×	207 1.7×	13 0.1×	40	620

Countries citing papers authored by T. V. Vijay Kumar

Since Specialization

Citations

This map shows the geographic impact of T. V. Vijay Kumar'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 T. V. Vijay Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. V. Vijay Kumar more than expected).

Fields of papers citing papers by T. V. Vijay Kumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. V. Vijay Kumar. 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 T. V. Vijay Kumar. The network helps show where T. V. Vijay Kumar may publish in the future.

Co-authorship network of co-authors of T. V. Vijay Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of T. V. Vijay Kumar. A scholar is included among the top collaborators of T. V. Vijay Kumar 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 T. V. Vijay Kumar. T. V. Vijay Kumar 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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