Filip Sieczkowski
Impact in
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques
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- Formal Methods in Verification
Papers in
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- Logic, programming, and type systems 11
- Logic, Reasoning, and Knowledge 4
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- Formal Methods in Verification 7
- Computability, Logic, AI Algorithms 1
- Co-authors
- Lars Birkedal (5 shared papers)David Swasey (2 shared papers)Ralf Jung (2 shared papers)Derek Dreyer (2 shared papers)Kasper Svendsen (2 shared papers)Aaron Turon (2 shared papers)Dariusz Biernacki (7 shared papers)Mike Rainey (1 shared paper)
- Journals
- Proceedings of the ACM on Programming Languages (5 papers)ACM SIGPLAN Notices (2 papers)Information and Computation (1 paper)DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) (3 papers)
In The Last Decade
Filip Sieczkowski
13 papers receiving 271 citations
Peers
Comparison fields: 5 of 15
- Hardware and Architecture 69
- Computational Theory and Mathematics 125
- Artificial Intelligence 249
- Computer Networks and Communications 120
- Software 17
Countries citing papers authored by Filip Sieczkowski
This map shows the geographic impact of Filip Sieczkowski'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 Filip Sieczkowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Filip Sieczkowski more than expected).
Fields of papers citing papers by Filip Sieczkowski
This network shows the impact of papers produced by Filip Sieczkowski. 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 Filip Sieczkowski. The network helps show where Filip Sieczkowski may publish in the future.
Co-authors
The 10 scholars most cited alongside Filip Sieczkowski, 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 | 2014 | 155 | |
| 2 | 2017 | 27 | |
| 3 | 2019 | 24 | |
| 4 | 2015 | 21 | |
| 5 | 2019 | 16 | |
| 6 | 2019 | 10 | |
| 7 | 2012 | 9 | |
| 8 | Handle with Care: Relational Interpretation of Algebraic Effects and Handlers | 2018 | 4 |
| 9 | 2021 | 4 | |
| 10 | 2016 | 2 | |
| 11 | 2020 | 2 | |
| 12 | 2018 | 1 | |
| 13 | 2024 | 1 | |
| 14 | 2023 | 0 |
About Filip Sieczkowski
Filip Sieczkowski is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Information Systems and Hardware and Architecture, having authored 14 papers that have together received 276 indexed citations. Recurring topics across this work include Logic, programming, and type systems (11 papers), Formal Methods in Verification (7 papers), Parallel Computing and Optimization Techniques (4 papers), Software Engineering Research (4 papers), Logic, Reasoning, and Knowledge (4 papers), Distributed systems and fault tolerance (3 papers), Computability, Logic, AI Algorithms (1 paper) and Game Theory and Voting Systems (1 paper). The work is most often cited by research in Hardware and Architecture (69 citations), Computational Theory and Mathematics (125 citations), Artificial Intelligence (249 citations), Computer Networks and Communications (120 citations) and Software (17 citations). Filip Sieczkowski has collaborated with scholars based in Poland, Denmark and Germany. Frequent co-authors include Lars Birkedal, David Swasey, Ralf Jung, Derek Dreyer, Kasper Svendsen, Aaron Turon, Dariusz Biernacki, Mike Rainey, Arthur Charguéraud and Umut A. Acar. Their work appears in journals such as Proceedings of the ACM on Programming Languages, ACM SIGPLAN Notices, Information and Computation and DROPS (Schloss Dagstuhl – Leibniz Center for Informatics).
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.