Thomas Lukasiewicz

9.4k total citations
216 papers, 3.6k citations indexed

About

Thomas Lukasiewicz is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Thomas Lukasiewicz has authored 216 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 189 papers in Artificial Intelligence, 51 papers in Computer Networks and Communications and 37 papers in Signal Processing. Recurrent topics in Thomas Lukasiewicz's work include Semantic Web and Ontologies (104 papers), Logic, Reasoning, and Knowledge (82 papers) and Data Management and Algorithms (37 papers). Thomas Lukasiewicz is often cited by papers focused on Semantic Web and Ontologies (104 papers), Logic, Reasoning, and Knowledge (82 papers) and Data Management and Algorithms (37 papers). Thomas Lukasiewicz collaborates with scholars based in United Kingdom, Austria and Italy. Thomas Lukasiewicz's co-authors include Georg Gottlob, Umberto Straccia, Andrea Calı̀, Zhenghua Xu, Thomas Eiter, Roman Schindlauer, Hans Tompits, Oana-Maria Camburu, Tim Rocktäschel and Phil Blunsom and has published in prestigious journals such as Nature Neuroscience, Scientific Reports and IEEE Access.

In The Last Decade

Thomas Lukasiewicz

203 papers receiving 3.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Lukasiewicz United Kingdom 33 2.9k 811 591 524 480 216 3.6k
Zhiguang Qin China 34 1.8k 0.6× 1.1k 1.3× 1.1k 1.8× 1.2k 2.3× 344 0.7× 283 4.0k
Kenji Yamanishi Japan 24 1.8k 0.6× 533 0.7× 460 0.8× 213 0.4× 478 1.0× 128 2.6k
Hwanjo Yu South Korea 28 1.9k 0.6× 347 0.4× 1.5k 2.6× 834 1.6× 228 0.5× 119 3.1k
Danai Koutra United States 22 2.0k 0.7× 793 1.0× 516 0.9× 592 1.1× 326 0.7× 93 3.0k
Parham Moradi Iran 28 1.9k 0.7× 389 0.5× 1.1k 1.8× 941 1.8× 123 0.3× 108 3.2k
Chuxu Zhang United States 21 2.1k 0.7× 498 0.6× 805 1.4× 421 0.8× 347 0.7× 79 3.2k
Bryan Hooi Singapore 25 2.0k 0.7× 835 1.0× 606 1.0× 379 0.7× 654 1.4× 95 2.9k
Alberto Cano United States 30 1.7k 0.6× 326 0.4× 448 0.8× 357 0.7× 277 0.6× 93 2.6k
Zheli Liu China 31 2.2k 0.8× 753 0.9× 1.2k 2.0× 366 0.7× 297 0.6× 137 3.3k
Yao Ma United States 19 2.3k 0.8× 351 0.4× 1.1k 1.9× 612 1.2× 246 0.5× 76 3.4k

Countries citing papers authored by Thomas Lukasiewicz

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Thomas Lukasiewicz

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Lukasiewicz. A scholar is included among the top collaborators of Thomas Lukasiewicz 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 Thomas Lukasiewicz. Thomas Lukasiewicz 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.
Imrie, Fergus, et al.. (2024). Machine learning with requirements: A manifesto. 1. 5 indexed citations
2.
Xu, Zhenghua, Gang Xu, Yunxin Liu, et al.. (2023). Automatic data augmentation for medical image segmentation using Adaptive Sequence-length based Deep Reinforcement Learning. Computers in Biology and Medicine. 169. 107877–107877. 10 indexed citations
3.
Lukasiewicz, Thomas, et al.. (2023). An Empirical Analysis of Parameter-Efficient Methods for Debiasing Pre-Trained Language Models. 15730–15745. 11 indexed citations
4.
Davis, Ernest, et al.. (2023). The defeat of the Winograd Schema Challenge. Artificial Intelligence. 325. 103971–103971. 16 indexed citations
5.
Torr, Philip H. S., et al.. (2022). Clustering Generative Adversarial Networks for Story Visualization. Proceedings of the 30th ACM International Conference on Multimedia. 769–778. 5 indexed citations
6.
Yuan, Di, et al.. (2022). Painless and accurate medical image analysis using deep reinforcement learning with task-oriented homogenized automatic pre-processing. Computers in Biology and Medicine. 153. 106487–106487. 27 indexed citations
7.
Lukasiewicz, Thomas, et al.. (2022). Multi-modal contrastive mutual learning and pseudo-label re-learning for semi-supervised medical image segmentation. Medical Image Analysis. 83. 102656–102656. 76 indexed citations
8.
Lukasiewicz, Thomas, María Vanina Martínez, Andréas Pieris, & Gerardo I. Simari. (2015). From Classical to Consistent Query Answering under Existential Rules.. Oxford University Research Archive (ORA) (University of Oxford). 9 indexed citations
9.
Gottlob, Georg, et al.. (2014). Stable model semantics for guarded existential rules and description logics. Oxford University Research Archive (ORA) (University of Oxford). 258–267. 14 indexed citations
10.
d’Amato, Claudia, Nicola Fanizzi, Floriana Esposito, & Thomas Lukasiewicz. (2013). Representing Uncertain Concepts in Rough Description Logics via Contextual Indiscernibility Relations. Oxford University Research Archive (ORA) (University of Oxford). 2 indexed citations
11.
Lukasiewicz, Thomas & Attila Sali. (2012). Foundations of information and knowledge systems : 7th International Symposium, FoIKS 2012, Kiel, Germany, March 5-9, 2012 : proceedings. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 1 indexed citations
12.
Calı̀, Andrea, Georg Gottlob, & Thomas Lukasiewicz. (2009). Tractable query answering over ontologies with datalog. Oxford University Research Archive (ORA) (University of Oxford). 477. 8 indexed citations
13.
Lukasiewicz, Thomas & Azzurra Ragone. (2009). A Combination of Boolean Games with Description Logics for Automated Multi−Attribute Negotiation. Oxford University Research Archive (ORA) (University of Oxford). 477. 1 indexed citations
14.
Lukasiewicz, Thomas & Umberto Straccia. (2009). Description logic programs under probabilistic uncertainty and fuzzy vagueness. International Journal of Approximate Reasoning. 50(6). 837–853. 30 indexed citations
15.
Calı̀, Andrea, et al.. (2007). A framework for representing ontology mappings under probabilities and inconsistency. BIROn (Birkbeck, University of London). 327. 13–24. 6 indexed citations
16.
Lukasiewicz, Thomas, et al.. (2006). Variable-strength conditional preferences for matchmaking in description logics. Oxford University Research Archive (ORA) (University of Oxford). 164–174. 5 indexed citations
17.
Finzi, Alberto & Thomas Lukasiewicz. (2004). Game-theoretic agent programming in Golog. Oxford University Research Archive (ORA) (University of Oxford). 18–22. 7 indexed citations
18.
Lukasiewicz, Thomas, et al.. (2002). CAUSES AND EXPLANATIONS IN THE STRUCTURAL-MODEL APPROACH: TRACTABLE CASES. 12 indexed citations
19.
Lukasiewicz, Thomas. (1998). Probabilistic Logic Programming. Oxford University Research Archive (ORA) (University of Oxford). 388–392. 48 indexed citations
20.
Lukasiewicz, Thomas. (1996). Precision of probabilistic deduction under taxonomic knowledge. AI Communications. 9(4). 227–228. 4 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Zhiguang Qin Breakdown of academic impact, for papers by Kenji Yamanishi Breakdown of academic impact, for papers by Hwanjo Yu Breakdown of academic impact, for papers by Danai Koutra Breakdown of academic impact, for papers by Parham Moradi Breakdown of academic impact, for papers by Chuxu Zhang Breakdown of academic impact, for papers by Bryan Hooi Breakdown of academic impact, for papers by Alberto Cano Breakdown of academic impact, for papers by Zheli Liu Breakdown of academic impact, for papers by Yao Ma
Rankless by CCL
2026