Arjun Magge

39 total papers · 755 total citations
24 papers, 419 citations indexed

About

Arjun Magge is a scholar working on Artificial Intelligence, Molecular Biology and Epidemiology. According to data from OpenAlex, Arjun Magge has authored 24 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in Molecular Biology and 6 papers in Epidemiology. Recurrent topics in Arjun Magge's work include Topic Modeling (11 papers), Biomedical Text Mining and Ontologies (6 papers) and Data-Driven Disease Surveillance (5 papers). Arjun Magge is often cited by papers focused on Topic Modeling (11 papers), Biomedical Text Mining and Ontologies (6 papers) and Data-Driven Disease Surveillance (5 papers). Arjun Magge collaborates with scholars based in United States, Russia and United Kingdom. Arjun Magge's co-authors include Graciela Gonzalez‐Hernandez, Davy Weissenbacher, Karen O’Connor, Abeed Sarker, Ari Z Klein, Matthew Scotch, Ashlynn R. Daughton, Michael J. Paul, Ilseyar Alimova and Zulfat Miftahutdinov and has published in prestigious journals such as Bioinformatics, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Arjun Magge

24 papers receiving 366 citations

Author Peers

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

Author						Papers	Cites
Arjun Magge	238	127	67	50	43	24	419
Ari Z Klein	208 0.9×	59 0.5×	71 1.1×	52 1.0×	33 0.8×	38	467
Ashlynn R. Daughton	117 0.5×	77 0.6×	128 1.9×	120 2.4×	14 0.3×	27	416
Ai Kawazoe	170 0.7×	165 1.3×	74 1.1×	205 4.1×	9 0.2×	18	445
Alejandro Metke‐Jimenez	254 1.1×	214 1.7×	23 0.3×	22 0.4×	95 2.2×	21	469
Andrew MacKinlay	312 1.3×	116 0.9×	46 0.7×	25 0.5×	13 0.3×	30	431
Annie Skariah	62 0.3×	98 0.8×	21 0.3×	31 0.6×	99 2.3×	12	425
Nic Fleming	48 0.2×	104 0.8×	64 1.0×	15 0.3×	7 0.2×	44	470
Yu Lin	167 0.7×	320 2.5×	5 0.1×	30 0.6×	21 0.5×	24	437
Douglas Teodoro	209 0.9×	194 1.5×	18 0.3×	14 0.3×	5 0.1×	68	487
Altug Akay	69 0.3×	108 0.9×	20 0.3×	17 0.3×	7 0.2×	13	432

Countries citing papers authored by Arjun Magge

Since Specialization

Citations

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

Fields of papers citing papers by Arjun Magge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arjun Magge

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