David G. Schwartz

240 total papers · 2.3k total citations
97 papers, 1.3k citations indexed

About

David G. Schwartz is a scholar working on Artificial Intelligence, Sociology and Political Science and Information Systems. According to data from OpenAlex, David G. Schwartz has authored 97 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 18 papers in Sociology and Political Science and 16 papers in Information Systems. Recurrent topics in David G. Schwartz's work include Gambling Behavior and Treatments (11 papers), Knowledge Management and Sharing (11 papers) and Semantic Web and Ontologies (8 papers). David G. Schwartz is often cited by papers focused on Gambling Behavior and Treatments (11 papers), Knowledge Management and Sharing (11 papers) and Semantic Web and Ontologies (8 papers). David G. Schwartz collaborates with scholars based in Israel, United States and Italy. David G. Schwartz's co-authors include Dov Te’eni, Inbal Yahav, Onn Shehory, Nurit Zaidman, Srdjan Mirkovic, Abraham Sagie, Yair Amichai‐Hamburger, Shaul Fox, Monica Divitini and Terje Brasethvik and has published in prestigious journals such as Management Science, Spine and Journal of Business Research.

In The Last Decade

David G. Schwartz

90 papers receiving 1.1k citations

Author Peers

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

Author						Papers	Cites
David G. Schwartz	336	237	201	162	137	97	1.3k
Thomas A. Horan	233 0.7×	105 0.4×	96 0.5×	139 0.9×	145 1.1×	110	1.6k
Kyungsik Han	480 1.4×	149 0.6×	216 1.1×	189 1.2×	44 0.3×	123	1.6k
Lara Khansa	524 1.6×	176 0.7×	129 0.6×	262 1.6×	233 1.7×	54	1.6k
Agarwal	606 1.8×	102 0.4×	121 0.6×	148 0.9×	42 0.3×	72	1.7k
Remko Helms	247 0.7×	338 1.4×	147 0.7×	245 1.5×	105 0.8×	82	1.5k
Jae Eun Chung	860 2.6×	369 1.6×	99 0.5×	117 0.7×	51 0.4×	58	1.7k
Hyun Seung Jin	798 2.4×	70 0.3×	374 1.9×	38 0.2×	71 0.5×	56	1.6k
Ahuja	579 1.7×	250 1.1×	33 0.2×	64 0.4×	130 0.9×	33	1.4k
Han Zheng	518 1.5×	124 0.5×	93 0.5×	68 0.4×	34 0.2×	89	1.3k
Christos Papatheodorou	143 0.4×	57 0.2×	281 1.4×	500 3.1×	227 1.7×	91	1.4k

Countries citing papers authored by David G. Schwartz

Since Specialization

Citations

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

Fields of papers citing papers by David G. Schwartz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David G. Schwartz. 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 David G. Schwartz. The network helps show where David G. Schwartz may publish in the future.

Co-authorship network of co-authors of David G. Schwartz

This figure shows the co-authorship network connecting the top 25 collaborators of David G. Schwartz. A scholar is included among the top collaborators of David G. Schwartz 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 David G. Schwartz. David G. Schwartz 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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