David G. Schwartz

2.3k total citations
98 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 98 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 Knowledge Management and Sharing (11 papers), Gambling Behavior and Treatments (11 papers) and Team Dynamics and Performance (8 papers). David G. Schwartz is often cited by papers focused on Knowledge Management and Sharing (11 papers), Gambling Behavior and Treatments (11 papers) and Team Dynamics and Performance (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, Nurit Zaidman, Onn Shehory, Srdjan Mirkovic, Yair Amichai‐Hamburger, Abraham Sagie, 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

91 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David G. Schwartz Israel 19 336 238 203 162 138 98 1.3k
Lara Khansa United States 22 534 1.6× 178 0.7× 129 0.6× 264 1.6× 235 1.7× 54 1.6k
Elizabeth White Baker United States 12 287 0.9× 83 0.3× 68 0.3× 91 0.6× 25 0.2× 41 1.0k
Ben Johnson United States 11 529 1.6× 162 0.7× 90 0.4× 78 0.5× 33 0.2× 13 1.0k
Hyun Seung Jin Australia 20 805 2.4× 70 0.3× 391 1.9× 40 0.2× 71 0.5× 56 1.7k
Mark Perry Canada 25 217 0.6× 31 0.1× 111 0.5× 166 1.0× 193 1.4× 127 2.4k
Jeana Frost United States 19 504 1.5× 131 0.6× 100 0.5× 102 0.6× 11 0.1× 35 1.9k
Ravi Sharma New Zealand 18 230 0.7× 65 0.3× 198 1.0× 368 2.3× 37 0.3× 129 1.9k
John J. Donovan United States 17 468 1.4× 68 0.3× 118 0.6× 43 0.3× 199 1.4× 38 2.7k
Bengisu Tulu United States 20 280 0.8× 66 0.3× 82 0.4× 104 0.6× 51 0.4× 79 1.6k
Jasna Kuljis United Kingdom 18 170 0.5× 58 0.2× 143 0.7× 213 1.3× 41 0.3× 67 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

20 of 20 papers shown
1.
Te’eni, Dov, Inbal Yahav, & David G. Schwartz. (2025). What it takes to control AI by design: human learning. AI & Society. 41(1). 237–250.
2.
Steinmetz, Michael P., John E. OʼToole, Christopher D. Chaput, et al.. (2025). P-15 Peptide Enhanced Bone Graft Improves Time to Fusion in Transforaminal Lumbar Interbody Fusion. Spine. 51(4). 229–237.
3.
Schwartz, David G., et al.. (2024). Evaluating the effectiveness of a sliding window technique in machine learning models for mortality prediction in ICU cardiac arrest patients. International Journal of Medical Informatics. 191. 105565–105565. 3 indexed citations
4.
Te’eni, Dov, et al.. (2024). Detecting terrorist influencers using reciprocal human-machine learning: The case of militant Jihadist Da’wa on the Darknet. Humanities and Social Sciences Communications. 11(1). 1 indexed citations
5.
Te’eni, Dov, et al.. (2023). Reciprocal Human-Machine Learning: A Theory and an Instantiation for the Case of Message Classification. Management Science. 72(1). 167–192. 32 indexed citations
6.
Te’eni, Dov, Michel Avital, Alan R. Hevner, Mareike Schoop, & David G. Schwartz. (2019). It Takes Two to Tango: Choreographing the Interactions between Human and Artificial Intelligence. Journal of the Association for Information Systems. 1 indexed citations
7.
Schwartz, David G.. (2019). FUTURES OF GAMING: HOW CASINOS AND GAMBLING MIGHT EVOLVE IN THE NEAR FUTURE. 23(5). 306–318. 2 indexed citations
8.
Yahav, Inbal, et al.. (2019). The journey to engaged customer community: Evidential social CRM maturity model in Twitter. Applied Stochastic Models in Business and Industry. 36(3). 397–416. 2 indexed citations
9.
Yahav, Inbal, Onn Shehory, & David G. Schwartz. (2018). Comments Mining With TF-IDF: The Inherent Bias and Its Removal. IEEE Transactions on Knowledge and Data Engineering. 31(3). 437–450. 73 indexed citations
10.
Yahav, Inbal & David G. Schwartz. (2017). Citizen engagement and the illusion of secrecy: exploring commenter characteristics in censored online news articles. Information Communication & Society. 21(11). 1620–1638. 1 indexed citations
11.
Conti, Mauro, et al.. (2017). The insider on the outside: a novel system for the detection of information leakers in social networks. European Journal of Information Systems. 27(4). 470–485. 10 indexed citations
12.
Schwartz, David G., et al.. (2015). News Censorship in Social Networks: A Study of Circumvention in the Commentsphere. SSRN Electronic Journal. 2 indexed citations
13.
Schwartz, David G.. (2012). A Virtual Pandora's Box: What Cyberspace Gambling Prohibition Means to Terrestrial Casino Operators. UNLV Gaming Research & Review Journal. 7(1).
14.
Balachander, Subramanian, Karthik Kannan, & David G. Schwartz. (2009). A Theoretical and Empirical Analysis of Alternate Auction Policies for Search Advertisements. 7(1). 17 indexed citations
15.
Schweitzer, Karl M., Alexander R. Vaccaro, James S. Harrop, et al.. (2007). Interrater reliability of identifying indicators of posterior ligamentous complex disruption when plain films are indeterminate in thoracolumbar injuries. Journal of Orthopaedic Science. 12(5). 437–442. 22 indexed citations
16.
Schwartz, David G.. (2005). Regulation and the internet. Internet Research. 15(4). 1 indexed citations
17.
Kaufman, Perry J. & David G. Schwartz. (2004). Suburban Xanadu: The Casino Resort on the Las Vegas Strip and Beyond. Western Historical Quarterly. 35(4). 507–507. 21 indexed citations
18.
Schwartz, David G.. (2003). From open IS semantics to the Semantic Web: the road ahead. IEEE Intelligent Systems. 18(3). 52–58. 11 indexed citations
19.
20.
Schwartz, David G. & Leon Sterling. (1993). BlackLog: From Blackboard System to Process-Oriented Prolog.. International Conference on Lightning Protection. 2 indexed citations

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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