Daniel G. Schwartz

29 papers and 213 indexed citations i.

About

Daniel G. Schwartz is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Daniel G. Schwartz has authored 29 papers receiving a total of 213 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 14 papers in Computational Theory and Mathematics and 6 papers in Management Science and Operations Research. Recurrent topics in Daniel G. Schwartz’s work include Logic, Reasoning, and Knowledge (10 papers), Advanced Algebra and Logic (8 papers) and Rough Sets and Fuzzy Logic (8 papers). Daniel G. Schwartz is often cited by papers focused on Logic, Reasoning, and Knowledge (10 papers), Advanced Algebra and Logic (8 papers) and Rough Sets and Fuzzy Logic (8 papers). Daniel G. Schwartz collaborates with scholars based in United States, Japan and Taiwan. Daniel G. Schwartz's co-authors include George J. Klir, H. W. Lewis, Hanna Wasyluk, Marek J. Drużdżel, Andreas Paepcke, John Dowling, Peter H. Wrege, Dan E. Tamir, Abraham Kandel and Agnieszka Oniśko and has published in prestigious journals such as Proceedings of the IEEE, Information Sciences and Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Daniel G. Schwartz i

Fields of papers citing papers by Daniel G. Schwartz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel G. Schwartz

Since Specialization
Citations

This map shows the geographic impact of Daniel 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 Daniel 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 Daniel G. Schwartz more than expected).

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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