Thomas Lukasiewicz
Impact in
- Artificial Intelligence top 0.2%
- Semantic Web and Ontologies
- Logic, Reasoning, and Knowledge
- Topic Modeling
- Bayesian Modeling and Causal Inference
- Multi-Agent Systems and Negotiation
- Signal Processing top 1%
- Data Management and Algorithms
Papers in
-
- Semantic Web and Ontologies 105
- Logic, Reasoning, and Knowledge 83
- Topic Modeling 34
- Bayesian Modeling and Causal Inference 31
- Natural Language Processing Techniques 20
- Multi-Agent Systems and Negotiation 17
-
- Advanced Database Systems and Queries 38
- Co-authors
- Georg Gottlob (19 shared papers)Umberto Straccia (4 shared papers)Andrea Calı̀ (9 shared papers)Zhenghua Xu (32 shared papers)Thomas Eiter (13 shared papers)Roman Schindlauer (3 shared papers)Hans Tompits (2 shared papers)Oana-Maria Camburu (11 shared papers)
- Journals
- Artificial Intelligence (13 papers)International Journal of Approximate Reasoning (10 papers)Computers in Biology and Medicine (7 papers)Journal of Web Semantics (4 papers)ACM Transactions on Computational Logic (3 papers)
- Partner nations
- United KingdomAustriaItaly
In The Last Decade
Thomas Lukasiewicz
206 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 134
- Artificial Intelligence 3.0k
- Signal Processing 482
- Computer Networks and Communications 821
- Health Informatics 38
- Information Systems 595
Countries citing papers authored by Thomas Lukasiewicz
This map shows the geographic impact of Thomas Lukasiewicz'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 Thomas Lukasiewicz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Lukasiewicz more than expected).
Fields of papers citing papers by Thomas Lukasiewicz
This network shows the impact of papers produced by Thomas Lukasiewicz. 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 Thomas Lukasiewicz. The network helps show where Thomas Lukasiewicz may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Lukasiewicz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 217 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 259 | |
| 2 | 2012 | 192 | |
| 3 | 2018 | 154 | |
| 4 | 2008 | 145 | |
| 5 | 2007 | 120 | |
| 6 | Combining answer set programming with description logics for the semantic web | 2004 | 113 |
| 7 | 2009 | 108 | |
| 8 | 2022 | 85 | |
| 9 | 2022 | 84 | |
| 10 | 2010 | 79 | |
| 11 | 2022 | 79 | |
| 12 | 2021 | 68 | |
| 13 | 2001 | 61 | |
| 14 | 2016 | 57 | |
| 15 | 2012 | 50 | |
| 16 | 2009 | 50 | |
| 17 | Probabilistic Logic Programming | 1998 | 48 |
| 18 | 2002 | 44 | |
| 19 | 2006 | 41 | |
| 20 | 2022 | 41 |
About Thomas Lukasiewicz
Thomas Lukasiewicz is a scholar working on Artificial Intelligence, Computer Networks and Communications, Signal Processing, Computer Vision and Pattern Recognition and Information Systems, having authored 217 papers that have together received 3.7k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (105 papers), Logic, Reasoning, and Knowledge (83 papers), Advanced Database Systems and Queries (38 papers), Data Management and Algorithms (37 papers), Topic Modeling (34 papers), Bayesian Modeling and Causal Inference (31 papers), Natural Language Processing Techniques (20 papers) and Multi-Agent Systems and Negotiation (17 papers). The work is most often cited by research in Artificial Intelligence (3.0k citations), Signal Processing (482 citations), Computer Networks and Communications (821 citations), Health Informatics (38 citations) and Information Systems (595 citations). Thomas Lukasiewicz has collaborated with scholars based in United Kingdom, Austria and Italy. Frequent co-authors include Georg Gottlob, Umberto Straccia, Andrea Calı̀, Zhenghua Xu, Thomas Eiter, Roman Schindlauer, Hans Tompits, Oana-Maria Camburu, Phil Blunsom and Tim Rocktäschel. Their work appears in journals such as Artificial Intelligence, International Journal of Approximate Reasoning, Computers in Biology and Medicine, Journal of Web Semantics and ACM Transactions on Computational Logic.
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.