Michael Fink

4.1k total citations
71 papers, 1.2k citations indexed

About

Michael Fink is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Michael Fink has authored 71 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Artificial Intelligence, 10 papers in Computer Networks and Communications and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Michael Fink's work include Logic, Reasoning, and Knowledge (46 papers), Multi-Agent Systems and Negotiation (29 papers) and Semantic Web and Ontologies (25 papers). Michael Fink is often cited by papers focused on Logic, Reasoning, and Knowledge (46 papers), Multi-Agent Systems and Negotiation (29 papers) and Semantic Web and Ontologies (25 papers). Michael Fink collaborates with scholars based in Austria, Israel and United States. Michael Fink's co-authors include Thomas Eiter, Shimon Ullman, Nathan Srebro, Pietro Perona, Stefan Woltran, Hans Tompits, Thomas Krennwallner, Peter Schüller, Christoph Redl and Shumeet Baluja and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, International Journal of Computer Vision and Artificial Intelligence.

In The Last Decade

Michael Fink

69 papers receiving 1.1k citations

Peers

Michael Fink
L.K. Saul United States
Xiaoye Jiang United States
Lide Wu China
S. Vempala United States
Amin Karbasi United States
Daniel M. Roy United States
Jelani Nelson United States
L.K. Saul United States
Michael Fink
Citations per year, relative to Michael Fink Michael Fink (= 1×) peers L.K. Saul

Countries citing papers authored by Michael Fink

Since Specialization
Citations

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

Fields of papers citing papers by Michael Fink

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Fink. 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 Michael Fink. The network helps show where Michael Fink may publish in the future.

Co-authorship network of co-authors of Michael Fink

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Fink. A scholar is included among the top collaborators of Michael Fink 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 Michael Fink. Michael Fink 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.
Amendola, Giovanni, et al.. (2016). Semi-equilibrium models for paracoherent answer set programs. Artificial Intelligence. 234. 219–271. 17 indexed citations
2.
Eiter, Thomas, Michael Fink, Thomas Krennwallner, & Christoph Redl. (2016). Domain expansion for ASP-programs with external sources. Artificial Intelligence. 233. 84–121. 12 indexed citations
3.
Eiter, Thomas, et al.. (2014). Finding explanations of inconsistency in multi-context systems. Artificial Intelligence. 216. 233–274. 27 indexed citations
4.
Eiter, Thomas, Michael Fink, & Daria Stepanova. (2014). Towards Practical Deletion Repair of Inconsistent DL-programs.. Description Logics. 169–180. 2 indexed citations
5.
Eiter, Thomas, Michael Fink, & Daria Stepanova. (2013). Data repair of inconsistent DL-programs. International Joint Conference on Artificial Intelligence. 869–876. 3 indexed citations
6.
Fink, Michael. (2012). Paraconsistent hybrid theories. Principles of Knowledge Representation and Reasoning. 391–401. 7 indexed citations
7.
Dao-Tran, Minh, Thomas Eiter, Michael Fink, & Thomas Krennwallner. (2010). Distributed nonmonotonic multi-context systems. Principles of Knowledge Representation and Reasoning. 60–70. 12 indexed citations
8.
Eiter, Thomas, et al.. (2010). Finding explanations of inconsistency in multi-context systems. Dspace Repository (Marmara Üniversitesi). 329–339. 11 indexed citations
9.
Eiter, Thomas, Michael Fink, & Thomas Krennwallner. (2009). Decomposition of declarative knowledge bases with external functions. International Joint Conference on Artificial Intelligence. 752–758. 3 indexed citations
10.
Fink, Michael. (2007). Online Learning of Search Heuristics. International Conference on Artificial Intelligence and Statistics. 114–122. 10 indexed citations
11.
Eiter, Thomas, Michael Fink, Hans Tompits, & Stefan Woltran. (2007). Complexity results for checking equivalence of stratified logic programs. International Joint Conference on Artificial Intelligence. 330–335. 8 indexed citations
12.
Eiter, Thomas, et al.. (2006). Resolving Conflicts in Action Descriptions. Sabanci University. 367–371. 4 indexed citations
13.
Eiter, Thomas, et al.. (2005). Updating action domain descriptions. Sabanci University. 418–423. 14 indexed citations
14.
Eiter, Thomas, Michael Fink, Hans Tompits, & Stefan Woltran. (2005). Strong and uniform equivalence in answer-set programming: characterizations and complexity results for the non-ground case. National Conference on Artificial Intelligence. 26. 695–700. 19 indexed citations
15.
Eiter, Thomas, Wolfgang Faber, Michael Fink, Gerald Pfeifer, & Stefan Woltran. (2004). Complexity of model checking and bounded predicate arities for non-ground answer set programming. Principles of Knowledge Representation and Reasoning. 377–387. 7 indexed citations
16.
Fink, Michael. (2004). Object Classification from a Single Example Utilizing Class Relevance Metrics. Neural Information Processing Systems. 17. 449–456. 119 indexed citations
17.
Eiter, Thomas, Michael Fink, Hans Tompits, & Stefan Woltran. (2004). On eliminating disjunctions in stable logic programming. Principles of Knowledge Representation and Reasoning. 447–457. 10 indexed citations
18.
Fink, Michael & Pietro Perona. (2003). Mutual Boosting for Contextual Inference. CaltechAUTHORS (California Institute of Technology). 16. 1515–1522. 66 indexed citations
19.
Eiter, Thomas, et al.. (2002). A generic approach for knowledge-based information-site selection. Principles of Knowledge Representation and Reasoning. 459–469. 6 indexed citations
20.
Mattes, Jeffrey A. & Michael Fink. (1987). A family study of patients with temper outbursts. Journal of Psychiatric Research. 21(3). 249–255. 18 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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