Johnson P. Thomas

83 total papers · 1.3k total citations
45 papers, 832 citations indexed

About

Johnson P. Thomas is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Johnson P. Thomas has authored 45 papers receiving a total of 832 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Networks and Communications, 12 papers in Artificial Intelligence and 10 papers in Information Systems. Recurrent topics in Johnson P. Thomas's work include Mobile Ad Hoc Networks (8 papers), Manufacturing Process and Optimization (6 papers) and Data Quality and Management (5 papers). Johnson P. Thomas is often cited by papers focused on Mobile Ad Hoc Networks (8 papers), Manufacturing Process and Optimization (6 papers) and Data Quality and Management (5 papers). Johnson P. Thomas collaborates with scholars based in United States, United Kingdom and South Korea. Johnson P. Thomas's co-authors include Ajith Abraham, Srilatha Chebrolu, Mahesh Rao, Guoliang Fan, Muheeb Awawdeh, Venkatesh Sarangan, Sugata Sanyal, Lakhmi C. Jain, Hong Liu and Hong Liu and has published in prestigious journals such as Scientific Reports, Sensors and IEEE Transactions on Robotics and Automation.

In The Last Decade

Johnson P. Thomas

41 papers receiving 733 citations

Author Peers

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

Author						Papers	Cites
Johnson P. Thomas	527	418	206	156	61	45	832
Yi Tang	480 0.9×	468 1.1×	102 0.5×	346 2.2×	60 1.0×	58	946
Emiro De-La-Hoz-Franco	362 0.7×	320 0.8×	115 0.6×	151 1.0×	89 1.5×	42	943
Mrutyunjaya Panda	554 1.1×	580 1.4×	309 1.5×	132 0.8×	40 0.7×	58	969
Kuinam J. Kim	540 1.0×	527 1.3×	300 1.5×	167 1.1×	27 0.4×	43	904
Péter Bertök	428 0.8×	559 1.3×	177 0.9×	348 2.2×	37 0.6×	63	1.0k
Mohammad Alsmirat	286 0.5×	218 0.5×	124 0.6×	229 1.5×	67 1.1×	72	925
Thanassis Giannetsos	363 0.7×	461 1.1×	151 0.7×	183 1.2×	21 0.3×	46	928
Hui Lu	347 0.7×	329 0.8×	194 0.9×	175 1.1×	26 0.4×	55	751
Gianluigi Folino	341 0.6×	548 1.3×	126 0.6×	97 0.6×	22 0.4×	75	885
Yang‐Sae Moon	322 0.6×	307 0.7×	364 1.8×	191 1.2×	24 0.4×	107	877

Countries citing papers authored by Johnson P. Thomas

Since Specialization

Citations

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

Fields of papers citing papers by Johnson P. Thomas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johnson P. Thomas

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