Dominik Kempa
- Artificial Intelligence top 10%
- Molecular Biology
- Hardware and Architecture top 10%
- Computer Networks and Communications
- Computational Theory and Mathematics
- Co-authors
- Juha KärkkäinenSimon J. PuglisiTomasz KociumakaSimon GogMatthias PetriBarna SahaTravis GagieGabriele Fici
- Topics
- Algorithms and Data Compression (21 papers)Network Packet Processing and Optimization (11 papers)DNA and Biological Computing (10 papers)
- Partner nations
- FinlandUnited StatesGermany
In The Last Decade
Dominik Kempa
22 papers receiving 114 citations
Peers
Comparison fields: 5 of 14
- Artificial Intelligence 108
- Molecular Biology 54
- Hardware and Architecture 47
- Computer Networks and Communications 19
- Computational Theory and Mathematics 19
Countries citing papers authored by Dominik Kempa
This map shows the geographic impact of Dominik Kempa'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 Dominik Kempa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dominik Kempa more than expected).
Fields of papers citing papers by Dominik Kempa
This network shows the impact of papers produced by Dominik Kempa. 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 Dominik Kempa. The network helps show where Dominik Kempa may publish in the future.
Co-authorship network of co-authors of Dominik Kempa
This figure shows the co-authorship network connecting the top 25 collaborators of Dominik Kempa. A scholar is included among the top collaborators of Dominik Kempa 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 Dominik Kempa. Dominik Kempa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 6 | |
| 4 | 3 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 13 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 5 | |
| 13 | 2 | |
| 14 | 9 | |
| 15 | 2 | |
| 16 | Faster Sparse Sux Sorting | 1 |
| 17 | Engineering a Lightweight External Memory Suffix Array Construction Algorithm. | 5 |
| 18 | 11 | |
| 19 | Crochemore’s String Matching Algorithm: Simplification, Extensions, Applications | 0 |
| 20 | 6 |
About Dominik Kempa
Dominik Kempa is a scholar working on Hardware and Architecture, Artificial Intelligence and Computational Theory and Mathematics, having authored 24 papers that have together received 114 indexed citations. Recurring topics across this work include Algorithms and Data Compression (21 papers), Network Packet Processing and Optimization (11 papers) and DNA and Biological Computing (10 papers). The work is most often cited by research in Hardware and Architecture (47 citations), Artificial Intelligence (108 citations) and Computational Theory and Mathematics (19 citations). Dominik Kempa has collaborated with scholars based in Finland, United States and Germany. Frequent co-authors include Juha Kärkkäinen, Simon J. Puglisi, Tomasz Kociumaka, Simon Gog, Matthias Petri, Barna Saha, Travis Gagie, Gabriele Fici, I Tomohiro and Yuto Nakashima. Their work appears in journals such as Communications of the ACM, Theoretical Computer Science and Algorithmica.
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.