R Porkodi

77 total papers · 592 total citations
31 papers, 371 citations indexed

About

R Porkodi is a scholar working on Molecular Biology, Artificial Intelligence and Rheumatology. According to data from OpenAlex, R Porkodi has authored 31 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Artificial Intelligence and 6 papers in Rheumatology. Recurrent topics in R Porkodi's work include Machine Learning in Bioinformatics (5 papers), Systemic Lupus Erythematosus Research (4 papers) and Bioinformatics and Genomic Networks (4 papers). R Porkodi is often cited by papers focused on Machine Learning in Bioinformatics (5 papers), Systemic Lupus Erythematosus Research (4 papers) and Bioinformatics and Genomic Networks (4 papers). R Porkodi collaborates with scholars based in India and Sweden. R Porkodi's co-authors include Ram Madhavan, T. Amudha, R. Rajesh, R. Parthiban, Alamelu Raja, G. Suganya, Sivasubramanian Ramakrishnan, Rajeshwari Subramaniam, K. Punitha and Radhika Madhavan and has published in prestigious journals such as Annals of the New York Academy of Sciences, Egyptian Informatics Journal and Indian Journal of Science and Technology.

In The Last Decade

R Porkodi

29 papers receiving 347 citations

Author Peers

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

Author						Papers	Cites
R Porkodi	91	81	65	62	43	31	371
Bin Shi	84 0.9×	70 0.9×	27 0.4×	63 1.0×	21 0.5×	54	383
Wenping Pan	29 0.3×	59 0.7×	22 0.3×	29 0.5×	49 1.1×	38	396
Tomasz Włodarczyk	95 1.0×	102 1.3×	20 0.3×	101 1.6×	4 0.1×	36	348
Yujue Wang	58 0.6×	60 0.7×	88 1.4×	61 1.0×	6 0.1×	26	359
Mostafa Salem	95 1.0×	47 0.6×	38 0.6×	61 1.0×	19 0.4×	18	399
Mohamed A. El-Rashidy	62 0.7×	28 0.3×	26 0.4×	41 0.7×	4 0.1×	40	395
Shan Chen	65 0.7×	101 1.2×	18 0.3×	65 1.0×	51 1.2×	49	446
Raffaele Martino	39 0.4×	29 0.4×	56 0.9×	47 0.8×	13 0.3×	18	339
Vassilis Zissimopoulos	61 0.7×	66 0.8×	31 0.5×	8 0.1×	17 0.4×	21	427
Guozhen Tan	135 1.5×	76 0.9×	68 1.0×	13 0.2×	25 0.6×	39	422

Countries citing papers authored by R Porkodi

Since Specialization

Citations

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

Fields of papers citing papers by R Porkodi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R Porkodi

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