R. Rajaram

47 total papers · 685 total citations
33 papers, 441 citations indexed

About

R. Rajaram is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, R. Rajaram has authored 33 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Networks and Communications, 16 papers in Information Systems and 8 papers in Artificial Intelligence. Recurrent topics in R. Rajaram's work include Mobile Ad Hoc Networks (10 papers), Distributed and Parallel Computing Systems (8 papers) and Spam and Phishing Detection (6 papers). R. Rajaram is often cited by papers focused on Mobile Ad Hoc Networks (10 papers), Distributed and Parallel Computing Systems (8 papers) and Spam and Phishing Detection (6 papers). R. Rajaram collaborates with scholars based in India, United States and Malaysia. R. Rajaram's co-authors include Rajeswari Ramachandran, P. Venkatesh, P. Chitra, S. Balamurugan, S. Muthuramalingam, S. Srinivasan, K. Latha, A. Velmurugan, S. Revathi and M. Sujatha and has published in prestigious journals such as Applied Soft Computing, Knowledge-Based Systems and Sadhana.

In The Last Decade

R. Rajaram

30 papers receiving 383 citations

Author Peers

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

Author						Papers	Cites
R. Rajaram	269	215	127	82	41	33	441
David Vengerov	256 1.0×	199 0.9×	133 1.0×	50 0.6×	48 1.2×	31	474
Ali Fanian	254 0.9×	148 0.7×	85 0.7×	51 0.6×	62 1.5×	39	379
Luay Alawneh	159 0.6×	149 0.7×	137 1.1×	51 0.6×	29 0.7×	36	436
Lixin Tao	230 0.9×	111 0.5×	244 1.9×	53 0.6×	81 2.0×	34	464
Yanjun Zhang	196 0.7×	189 0.9×	90 0.7×	39 0.5×	28 0.7×	49	469
Rolando Trujillo-Rasúa	180 0.7×	187 0.9×	188 1.5×	61 0.7×	79 1.9×	30	480
Ayaz Ali Khan	334 1.2×	92 0.4×	239 1.9×	62 0.8×	59 1.4×	27	479
Hongda Li	252 0.9×	195 0.9×	74 0.6×	79 1.0×	31 0.8×	45	448
Mohammed H. Sqalli	381 1.4×	196 0.9×	213 1.7×	113 1.4×	17 0.4×	33	445
Peipei Wang	149 0.6×	189 0.9×	184 1.4×	20 0.2×	28 0.7×	37	441

Countries citing papers authored by R. Rajaram

Since Specialization

Citations

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

Fields of papers citing papers by R. Rajaram

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Rajaram

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