P. Pandiaraja

65 total papers · 651 total citations
27 papers, 190 citations indexed

About

P. Pandiaraja is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, P. Pandiaraja has authored 27 papers receiving a total of 190 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 11 papers in Information Systems and 8 papers in Computer Networks and Communications. Recurrent topics in P. Pandiaraja's work include Spam and Phishing Detection (4 papers), Internet Traffic Analysis and Secure E-voting (4 papers) and Sentiment Analysis and Opinion Mining (3 papers). P. Pandiaraja is often cited by papers focused on Spam and Phishing Detection (4 papers), Internet Traffic Analysis and Secure E-voting (4 papers) and Sentiment Analysis and Opinion Mining (3 papers). P. Pandiaraja collaborates with scholars based in India and United Kingdom. P. Pandiaraja's co-authors include Thompson Stephan, Achyut Shankar, P. Rajesh Kanna, Pandi Vijayakumar, Marimuthu Karuppiah, Balamurugan Balusamy, S. Murali, R. Naresh, V. Vijayakumar and Xiaochun Cheng and has published in prestigious journals such as Applied Soft Computing, Multimedia Tools and Applications and Journal of Ambient Intelligence and Humanized Computing.

In The Last Decade

P. Pandiaraja

23 papers receiving 165 citations

Author Peers

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

Author						Papers	Cites
P. Pandiaraja	79	61	45	38	18	27	190
Momina Shaheen	134 1.7×	50 0.8×	63 1.4×	16 0.4×	22 1.2×	28	226
Chandrasekar Vuppalapati	47 0.6×	47 0.8×	73 1.6×	38 1.0×	11 0.6×	35	221
Chellammal Surianarayanan	57 0.7×	74 1.2×	75 1.7×	29 0.8×	7 0.4×	25	220
Sivaraman Eswaran	72 0.9×	52 0.9×	66 1.5×	19 0.5×	15 0.8×	41	200
G. M. Siddesh	49 0.6×	55 0.9×	30 0.7×	33 0.9×	13 0.7×	34	195
Mohit Kumar	63 0.8×	68 1.1×	41 0.9×	13 0.3×	34 1.9×	29	170
Hikmat A. M. Abdeljaber	64 0.8×	42 0.7×	53 1.2×	17 0.4×	28 1.6×	36	205
Kamna Solanki	46 0.6×	81 1.3×	60 1.3×	22 0.6×	20 1.1×	34	201
Madhu Shukla	101 1.3×	44 0.7×	37 0.8×	37 1.0×	24 1.3×	30	208
Komminist Weldemariam	42 0.5×	49 0.8×	38 0.8×	15 0.4×	16 0.9×	28	174

Countries citing papers authored by P. Pandiaraja

Since Specialization

Citations

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

Fields of papers citing papers by P. Pandiaraja

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Pandiaraja

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