Steven Bedrick

119 total papers · 2.3k total citations
64 papers, 964 citations indexed

About

Steven Bedrick is a scholar working on Artificial Intelligence, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Steven Bedrick has authored 64 papers receiving a total of 964 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 20 papers in Molecular Biology and 19 papers in Cognitive Neuroscience. Recurrent topics in Steven Bedrick's work include Biomedical Text Mining and Ontologies (18 papers), Topic Modeling (15 papers) and Neurobiology of Language and Bilingualism (9 papers). Steven Bedrick is often cited by papers focused on Biomedical Text Mining and Ontologies (18 papers), Topic Modeling (15 papers) and Neurobiology of Language and Bilingualism (9 papers). Steven Bedrick collaborates with scholars based in United States, Switzerland and Canada. Steven Bedrick's co-authors include William Hersh, Kyle Gorman, Jayashree Kalpathy–Cramer, Dina Demner‐Fushman, Henning Müller, Alba García Seco de Herrera, Ellen M. Voorhees, Kirk Roberts, Michael V. Danilchik and Elizabeth E. Brown and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Cell Science.

In The Last Decade

Steven Bedrick

60 papers receiving 898 citations

Author Peers

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

Author						Papers	Cites
Steven Bedrick	404	250	181	128	120	64	964
Daniel Fabbri	317 0.8×	85 0.3×	190 1.0×	72 0.6×	53 0.4×	78	998
Maryam Panahiazar	347 0.9×	165 0.7×	109 0.6×	334 2.6×	58 0.5×	36	1.2k
Yang Xiang	588 1.5×	311 1.2×	71 0.4×	132 1.0×	74 0.6×	60	1.2k
Yungui Huang	204 0.5×	353 1.4×	20 0.1×	139 1.1×	57 0.5×	72	1.1k
Bernard Gibaud	184 0.5×	153 0.6×	290 1.6×	157 1.2×	28 0.2×	94	1.1k
Ajit Narayanan	165 0.4×	99 0.4×	58 0.3×	96 0.8×	22 0.2×	98	925
Arpad Kelemen	128 0.3×	241 1.0×	92 0.5×	98 0.8×	23 0.2×	55	875
Matthew Lee	194 0.5×	81 0.3×	50 0.3×	511 4.0×	74 0.6×	38	1.1k
Amos Folarin	160 0.4×	291 1.2×	31 0.2×	65 0.5×	68 0.6×	57	1.2k
Tomi Kauppinen	399 1.0×	83 0.3×	126 0.7×	29 0.2×	33 0.3×	87	1.2k

Countries citing papers authored by Steven Bedrick

Since Specialization

Citations

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

Fields of papers citing papers by Steven Bedrick

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven Bedrick

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