John D. Lowrance

39 total papers · 981 total citations
27 papers, 506 citations indexed

About

John D. Lowrance is a scholar working on Artificial Intelligence, Computer Networks and Communications and Management Science and Operations Research. According to data from OpenAlex, John D. Lowrance has authored 27 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 5 papers in Computer Networks and Communications and 5 papers in Management Science and Operations Research. Recurrent topics in John D. Lowrance's work include Semantic Web and Ontologies (10 papers), AI-based Problem Solving and Planning (6 papers) and Logic, Reasoning, and Knowledge (6 papers). John D. Lowrance is often cited by papers focused on Semantic Web and Ontologies (10 papers), AI-based Problem Solving and Planning (6 papers) and Logic, Reasoning, and Knowledge (6 papers). John D. Lowrance collaborates with scholars based in United States. John D. Lowrance's co-authors include Thomas D. Garvey, Martin A. Fischler, David E. Wilkins, Karen L. Myers, Thomas M. Strat, Ian Harrison, Enrique H. Ruspini, Peter D. Karp, Suzanne Paley and David Morley and has published in prestigious journals such as International Journal of Approximate Reasoning, Journal of Experimental & Theoretical Artificial Intelligence and LISP and Symbolic Computation.

In The Last Decade

John D. Lowrance

25 papers receiving 406 citations

Author Peers

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

Author						Papers	Cites
John D. Lowrance	377	103	88	75	50	27	506
Haitao Lin	229 0.6×	76 0.7×	104 1.2×	88 1.2×	56 1.1×	36	503
Weiyi Liu	273 0.7×	64 0.6×	110 1.3×	98 1.3×	95 1.9×	66	549
Jürg Kohlas	383 1.0×	143 1.4×	66 0.8×	35 0.5×	39 0.8×	32	597
Carlos Bousoño‐Calzón	182 0.5×	74 0.7×	146 1.7×	45 0.6×	23 0.5×	28	459
Heiko Röglin	207 0.5×	107 1.0×	100 1.1×	66 0.9×	30 0.6×	49	510
Zhiqiang Liu	250 0.7×	54 0.5×	119 1.4×	55 0.7×	47 0.9×	20	490
Lina Ni	247 0.7×	74 0.7×	107 1.2×	65 0.9×	109 2.2×	42	513
Bilian Chen	165 0.4×	71 0.7×	49 0.6×	77 1.0×	97 1.9×	43	500
Dan E. Tamir	267 0.7×	245 2.4×	49 0.6×	67 0.9×	60 1.2×	56	607
Chiara Piacentini	267 0.7×	35 0.3×	73 0.8×	132 1.8×	41 0.8×	20	476

Countries citing papers authored by John D. Lowrance

Since Specialization

Citations

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

Fields of papers citing papers by John D. Lowrance

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John D. Lowrance. 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 John D. Lowrance. The network helps show where John D. Lowrance may publish in the future.

Co-authorship network of co-authors of John D. Lowrance

This figure shows the co-authorship network connecting the top 25 collaborators of John D. Lowrance. A scholar is included among the top collaborators of John D. Lowrance 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 John D. Lowrance. John D. Lowrance 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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