T. P. Latchoumi

48 total papers · 1.1k total citations
29 papers, 536 citations indexed

About

T. P. Latchoumi is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, T. P. Latchoumi has authored 29 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Networks and Communications, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Information Systems. Recurrent topics in T. P. Latchoumi's work include Erosion and Abrasive Machining (2 papers), Face and Expression Recognition (2 papers) and Water Quality Monitoring Technologies (2 papers). T. P. Latchoumi is often cited by papers focused on Erosion and Abrasive Machining (2 papers), Face and Expression Recognition (2 papers) and Water Quality Monitoring Technologies (2 papers). T. P. Latchoumi collaborates with scholars based in India, United States and Lebanon. T. P. Latchoumi's co-authors include K. Balamurugan, Latha Parthiban, Ramakrishna Malkapuram, K R Dinesh, A. Senthilselvi, Sangsoon Lim, S. Janakiraman, Seifedine Kadry, Kaushik Sekaran and J. Faritha Banu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Measurement and Environment Development and Sustainability.

In The Last Decade

T. P. Latchoumi

29 papers receiving 459 citations

Author Peers

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

Author						Papers	Cites
T. P. Latchoumi	125	114	92	85	56	29	536
Jyoti Bhola	162 1.3×	134 1.2×	62 0.7×	40 0.5×	54 1.0×	24	501
Ting-Cheng Chang	64 0.5×	102 0.9×	92 1.0×	79 0.9×	49 0.9×	58	509
Vijender Kumar Solanki	141 1.1×	110 1.0×	125 1.4×	85 1.0×	59 1.1×	68	522
Yingjun Deng	216 1.7×	92 0.8×	100 1.1×	104 1.2×	82 1.5×	23	511
Do Hyeun Kim	130 1.0×	155 1.4×	93 1.0×	88 1.0×	56 1.0×	47	556
Ryszard Klempous	163 1.3×	111 1.0×	108 1.2×	54 0.6×	70 1.3×	68	545
Shiva Shankar	170 1.4×	208 1.8×	72 0.8×	44 0.5×	59 1.1×	39	474
Abhirup Khanna	131 1.0×	126 1.1×	58 0.6×	156 1.8×	47 0.8×	25	524
Hsin‐Te Wu	166 1.3×	109 1.0×	89 1.0×	158 1.9×	51 0.9×	55	576
Kunal Gupta	96 0.8×	126 1.1×	140 1.5×	58 0.7×	87 1.6×	34	584

Countries citing papers authored by T. P. Latchoumi

Since Specialization

Citations

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

Fields of papers citing papers by T. P. Latchoumi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. P. Latchoumi. 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. P. Latchoumi. The network helps show where T. P. Latchoumi may publish in the future.

Co-authorship network of co-authors of T. P. Latchoumi

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