Daniel G. Schwartz

581 total citations
44 papers, 323 citations indexed

About

Daniel G. Schwartz is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Daniel G. Schwartz has authored 44 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 21 papers in Computational Theory and Mathematics and 8 papers in Computer Networks and Communications. Recurrent topics in Daniel G. Schwartz's work include Logic, Reasoning, and Knowledge (17 papers), Advanced Algebra and Logic (13 papers) and Rough Sets and Fuzzy Logic (13 papers). Daniel G. Schwartz is often cited by papers focused on Logic, Reasoning, and Knowledge (17 papers), Advanced Algebra and Logic (13 papers) and Rough Sets and Fuzzy Logic (13 papers). Daniel G. Schwartz collaborates with scholars based in United States, Japan and Iran. Daniel G. Schwartz's co-authors include George J. Klir, H. W. Lewis, Marek J. Drużdżel, Ercüment Yılmaz, John Dowling, Hanna Wasyluk, Sadoon Azizi, Agnieszka Oniśko, Andreas Paepcke and Dan E. Tamir and has published in prestigious journals such as Proceedings of the IEEE, Information Sciences and Artificial Intelligence.

In The Last Decade

Daniel G. Schwartz

40 papers receiving 297 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel G. Schwartz United States 10 216 81 60 58 50 44 323
Bernd Reusch Germany 8 119 0.6× 120 1.5× 69 1.1× 20 0.3× 33 0.7× 34 279
Wen-Xiang Gu China 9 166 0.8× 96 1.2× 74 1.2× 39 0.7× 25 0.5× 48 350
Leh Luoh Taiwan 11 105 0.5× 65 0.8× 54 0.9× 105 1.8× 164 3.3× 18 360
Farnaz Sabahi Iran 8 157 0.7× 43 0.5× 65 1.1× 120 2.1× 43 0.9× 19 292
L.T. Kóczy Hungary 8 305 1.4× 104 1.3× 102 1.7× 14 0.2× 55 1.1× 23 404
Trong Nghia Hoang United States 11 259 1.2× 46 0.6× 37 0.6× 39 0.7× 28 0.6× 27 329
Puyin Liu China 11 205 0.9× 22 0.3× 39 0.7× 21 0.4× 69 1.4× 19 306
Zheng Dou China 7 144 0.7× 28 0.3× 44 0.7× 99 1.7× 71 1.4× 20 329
Gerardo Maximiliano Méndez Mexico 11 328 1.5× 23 0.3× 57 0.9× 65 1.1× 123 2.5× 47 478

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel G. Schwartz. A scholar is included among the top collaborators of Daniel 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 Daniel G. Schwartz. Daniel 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.
2.
Schwartz, Daniel G., et al.. (2021). Deployment of Embedded Edge-AI for Wildlife Monitoring in Remote Regions. 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA). 1035–1042. 5 indexed citations
3.
Schwartz, Daniel G., et al.. (2020). The PRM-A* Path Planning Algorithm For UUVs: An Application To Navy Mission Planning. Global Oceans 2020: Singapore – U.S. Gulf Coast. 1–9. 9 indexed citations
4.
Schwartz, Daniel G., et al.. (2018). RecAdvisor. 1325–1328. 1 indexed citations
5.
Schwartz, Daniel G.. (2015). Dynamic Reasoning Systems. ACM Transactions on Computational Logic. 16(4). 1–42. 1 indexed citations
6.
Schwartz, Daniel G., et al.. (2008). Case-oriented alert correlation. WSEAS Transactions on Computers archive. 7(3). 98–112. 1 indexed citations
7.
Schwartz, Daniel G., et al.. (2005). Application of case-based reasoning to multi-sensor network intrusion detection. Computational intelligence. 260–269.
8.
Schwartz, Daniel G., et al.. (2005). An XML Distance Measure.. 119–125. 6 indexed citations
9.
Schwartz, Daniel G., et al.. (2005). Application of loop reduction to learning program behaviors for anomaly detection. 6. 691–696 Vol. 1. 2 indexed citations
10.
Schwartz, Daniel G., et al.. (2004). A MetaData Architecture for Case-Based Reasoning.. International Conference on Artificial Intelligence. 790–794. 2 indexed citations
11.
Schwartz, Daniel G., et al.. (2004). Graphical User Interface Using a Reflective Architecture.. Software Engineering Research and Practice. 18(3). 648–651. 1 indexed citations
12.
Schwartz, Daniel G.. (2003). Agent-oriented epistemic reasoning: Subjective conditions of knowledge and belief. Artificial Intelligence. 148(1-2). 177–195. 6 indexed citations
13.
14.
Schwartz, Daniel G.. (2003). Intelligent indexes with inheritable fuzzy relations. 371–375.
15.
Schwartz, Daniel G.. (2003). A min-max semantics for fuzzy likelihood. 1393–1398.
16.
Drużdżel, Marek J., Agnieszka Oniśko, Daniel G. Schwartz, John Dowling, & Hanna Wasyluk. (1999). Knowledge Engineering for Very Large Decision-analytic Medical Models. PubMed Central. 1049–1049. 10 indexed citations
17.
Schwartz, Daniel G., et al.. (1995). A resolution-based system for symbolic approximate reasoning. International Journal of Approximate Reasoning. 13(3). 201–246. 6 indexed citations
18.
Schwartz, Daniel G. & George J. Klir. (1992). Fuzzy logic flowers in Japan. IEEE Spectrum. 29(7). 32–35. 55 indexed citations
19.
Schwartz, Daniel G.. (1991). A system for reasoning with imprecise linguistic information. International Journal of Approximate Reasoning. 5(5). 463–488. 13 indexed citations
20.
Schwartz, Daniel G.. (1989). Outline of a naive semantics for reasoning with qualitative linguistic information. International Joint Conference on Artificial Intelligence. 1068–1073. 8 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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