Lawrence H. Reeve

13 total papers · 551 total citations
8 papers, 297 citations indexed

About

Lawrence H. Reeve is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Lawrence H. Reeve has authored 8 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Molecular Biology and 2 papers in Information Systems. Recurrent topics in Lawrence H. Reeve's work include Biomedical Text Mining and Ontologies (6 papers), Topic Modeling (6 papers) and Natural Language Processing Techniques (4 papers). Lawrence H. Reeve is often cited by papers focused on Biomedical Text Mining and Ontologies (6 papers), Topic Modeling (6 papers) and Natural Language Processing Techniques (4 papers). Lawrence H. Reeve collaborates with scholars based in United States. Lawrence H. Reeve's co-authors include Hyoil Han and Ari D. Brooks and has published in prestigious journals such as Journal of Clinical Psychology, Information Processing & Management and International Journal of Data Mining and Bioinformatics.

In The Last Decade

Lawrence H. Reeve

8 papers receiving 268 citations

Author Peers

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

Author						Papers	Cites
Lawrence H. Reeve	271	106	102	33	23	8	297
Daya C. Wimalasuriya	250 0.9×	127 1.2×	58 0.6×	57 1.7×	23 1.0×	9	319
Francisco J. Rodríguez-Martínez	199 0.7×	119 1.1×	81 0.8×	60 1.8×	31 1.3×	10	301
Samir Tartir	250 0.9×	148 1.4×	92 0.9×	31 0.9×	28 1.2×	8	288
Lushan Han	290 1.1×	58 0.5×	38 0.4×	25 0.8×	23 1.0×	14	342
John Cabral	301 1.1×	91 0.9×	38 0.4×	33 1.0×	36 1.6×	7	339
Dean M. Jones	268 1.0×	148 1.4×	56 0.5×	34 1.0×	77 3.3×	12	321
Patrick Westphal	202 0.7×	70 0.7×	54 0.5×	87 2.6×	43 1.9×	11	227
Julian Seidenberg	232 0.9×	137 1.3×	106 1.0×	15 0.5×	71 3.1×	9	269
Jennifer Vendetti	142 0.5×	56 0.5×	128 1.3×	18 0.5×	17 0.7×	8	239
Paraskevi Raftopoulou	249 0.9×	124 1.2×	52 0.5×	17 0.5×	45 2.0×	17	344

Countries citing papers authored by Lawrence H. Reeve

Since Specialization

Citations

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

Fields of papers citing papers by Lawrence H. Reeve

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lawrence H. Reeve. 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 Lawrence H. Reeve. The network helps show where Lawrence H. Reeve may publish in the future.

Co-authorship network of co-authors of Lawrence H. Reeve

This figure shows the co-authorship network connecting the top 25 collaborators of Lawrence H. Reeve. A scholar is included among the top collaborators of Lawrence H. Reeve 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 Lawrence H. Reeve. Lawrence H. Reeve 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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