Priya Chandran

76 total papers · 553 total citations
44 papers, 392 citations indexed

About

Priya Chandran is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Priya Chandran has authored 44 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Networks and Communications, 11 papers in Artificial Intelligence and 9 papers in Information Systems. Recurrent topics in Priya Chandran's work include Advanced Data Storage Technologies (13 papers), Caching and Content Delivery (9 papers) and Parallel Computing and Optimization Techniques (7 papers). Priya Chandran is often cited by papers focused on Advanced Data Storage Technologies (13 papers), Caching and Content Delivery (9 papers) and Parallel Computing and Optimization Techniques (7 papers). Priya Chandran collaborates with scholars based in India, United States and Canada. Priya Chandran's co-authors include M R Atkinson, E S Kamberov, Alexander J. Ninfa, S. D. Madhu Kumar, Peter Zucker, Witoon Tirasophon, Peng Jiang, Jian-Hu Feng, Jennie G. Briard and Robert N. Ben and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Nature Reviews Drug Discovery.

In The Last Decade

Priya Chandran

37 papers receiving 376 citations

Author Peers

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

Author						Papers	Cites
Priya Chandran	145	103	95	65	63	44	392
Ela Hunt	265 1.8×	78 0.8×	89 0.9×	72 1.1×	27 0.4×	31	438
Yasunori Osana	192 1.3×	38 0.4×	50 0.5×	20 0.3×	74 1.2×	50	383
Qiping Hu	161 1.1×	34 0.3×	47 0.5×	30 0.5×	6 0.1×	46	435
Bhadrachalam Chitturi	145 1.0×	54 0.5×	142 1.5×	75 1.2×	5 0.1×	36	333
Piotr Grabowski	238 1.6×	33 0.3×	38 0.4×	17 0.3×	5 0.1×	20	400
Huayou Su	106 0.7×	50 0.5×	18 0.2×	16 0.2×	37 0.6×	46	347
Jinhong Yang	105 0.7×	73 0.7×	39 0.4×	34 0.5×	3 0.0×	60	399
Sven Jäger	280 1.9×	11 0.1×	23 0.2×	16 0.2×	8 0.1×	28	422
Chang‐Biau Yang	130 0.9×	135 1.3×	47 0.5×	13 0.2×	46 0.7×	64	405
Heejin Park	180 1.2×	13 0.1×	11 0.1×	25 0.4×	31 0.5×	64	423

Countries citing papers authored by Priya Chandran

Since Specialization

Citations

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

Fields of papers citing papers by Priya Chandran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Priya Chandran

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