Thomas Lukasiewicz
- Artificial Intelligence top 0.2%
- Semantic Web and Ontologies 104
- Logic, Reasoning, and Knowledge 82
- Topic Modeling 34
- Bayesian Modeling and Causal Inference 31
- Natural Language Processing Techniques 20
- Multi-Agent Systems and Negotiation 17
- Signal Processing top 1%
- Data Management and Algorithms 37
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- Advanced Database Systems and Queries 37
- Health Informatics top 5%
- Information Systems top 1%
- Co-authors
- Georg GottlobUmberto StracciaAndrea Calı̀Zhenghua XuThomas EiterRoman SchindlauerHans TompitsOana-Maria Camburu
- Journals
- Artificial Intelligence (13 papers)International Journal of Approximate Reasoning (10 papers)Computers in Biology and Medicine (7 papers)
- Partner nations
- United KingdomAustriaItaly
In The Last Decade
Thomas Lukasiewicz
203 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 138
- Artificial Intelligence 2.9k
- Signal Processing 480
- Computer Networks and Communications 811
- Health Informatics 38
- Information Systems 591
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 10 | |
| 2 | 2023 | 11 | |
| 3 | 2023 | 16 | |
| 4 | 2023 | 18 | |
| 5 | 2023 | 30 | |
| 6 | 2023 | 18 | |
| 7 | 2023 | 19 | |
| 8 | 2023 | 10 | |
| 9 | 2023 | 36 | |
| 10 | 2023 | 17 | |
| 11 | 2023 | 13 | |
| 12 | 2022 | 2 | |
| 13 | 2022 | 5 | |
| 14 | 2022 | 76 | |
| 15 | 2022 | 27 | |
| 16 | Probabilistic models over weighted orderings: fixed-parameter tractable variable elimination | 2016 | 3 |
| 17 | Combining existential rules with the power of CP-theories | 2015 | 9 |
| 18 | Representing Uncertain Concepts in Rough Description Logics via Contextual Indiscernibility Relations | 2013 | 2 |
| 19 | Tractable query answering over ontologies with datalog | 2009 | 8 |
| 20 | Stratified probabilistic description logic programs | 2005 | 7 |
About Thomas Lukasiewicz
Thomas Lukasiewicz is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications, having authored 216 papers that have together received 3.6k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (104 papers), Logic, Reasoning, and Knowledge (82 papers), Data Management and Algorithms (37 papers), Advanced Database Systems and Queries (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 (2.9k citations), Signal Processing (480 citations) and Computer Networks and Communications (811 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.