Philip Bille
Impact in
- Hardware and Architecture top 5%
- Network Packet Processing and Optimization
- Artificial Intelligence top 5%
- Algorithms and Data Compression
- Natural Language Processing Techniques
Papers in
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- Algorithms and Data Compression 39
- Natural Language Processing Techniques 2
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- Network Packet Processing and Optimization 18
- Co-authors
- Inge Li Gørtz (31 shared papers)Martı́n Farach-Colton (1 shared paper)Oren Weimann (6 shared papers)Theis Rauhe (2 shared papers)Stephen Alstrup (2 shared papers)Gad M. Landau (3 shared papers)Kunihiko Sadakane (1 shared paper)Srinivasa Rao Satti (1 shared paper)
- Journals
- Theoretical Computer Science (8 papers)Algorithmica (3 papers)ACM Transactions on Algorithms (3 papers)Theory of Computing Systems (2 papers)IEEE Access (1 paper)
- Partner nations
- DenmarkUnited KingdomIsrael
In The Last Decade
Philip Bille
40 papers receiving 640 citations
Philip Bille's Hit Papers
Peers
Comparison fields: 5 of 72
- Hardware and Architecture 98
- Artificial Intelligence 462
- Software 47
- Signal Processing 111
- Computational Theory and Mathematics 137
Countries citing papers authored by Philip Bille
This map shows the geographic impact of Philip Bille'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 Philip Bille with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip Bille more than expected).
Fields of papers citing papers by Philip Bille
This network shows the impact of papers produced by Philip Bille. 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 Philip Bille. The network helps show where Philip Bille may publish in the future.
Co-authors
The 25 scholars most cited alongside Philip Bille, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A survey on tree edit distance and related problems Hit paper breakdown → | 2005 | 415 |
| 2 | 2015 | 29 | |
| 3 | 2008 | 27 | |
| 4 | Tree Edit Distance, Alignment Distance and Inclusion | 2003 | 22 |
| 5 | 2012 | 20 | |
| 6 | 2003 | 14 | |
| 7 | 2013 | 12 | |
| 8 | 2017 | 12 | |
| 9 | 2011 | 11 | |
| 10 | 2005 | 11 | |
| 11 | 2015 | 10 | |
| 12 | 2009 | 9 | |
| 13 | 2010 | 7 | |
| 14 | 2010 | 7 | |
| 15 | 2011 | 7 | |
| 16 | 2017 | 6 | |
| 17 | 2016 | 6 | |
| 18 | 2013 | 6 | |
| 19 | 2018 | 5 | |
| 20 | 2013 | 5 |
About Philip Bille
Philip Bille is a scholar working on Artificial Intelligence, Hardware and Architecture, Molecular Biology, Computational Theory and Mathematics and Computer Networks and Communications, having authored 45 papers that have together received 678 indexed citations. Recurring topics across this work include Algorithms and Data Compression (39 papers), Network Packet Processing and Optimization (18 papers), DNA and Biological Computing (11 papers), semigroups and automata theory (10 papers), Data Management and Algorithms (7 papers), Advanced Database Systems and Queries (7 papers), Advanced Graph Theory Research (3 papers) and Natural Language Processing Techniques (2 papers). The work is most often cited by research in Hardware and Architecture (98 citations), Artificial Intelligence (462 citations), Software (47 citations), Signal Processing (111 citations) and Computational Theory and Mathematics (137 citations). Philip Bille has collaborated with scholars based in Denmark, United Kingdom and Israel. Frequent co-authors include Inge Li Gørtz, Martı́n Farach-Colton, Oren Weimann, Theis Rauhe, Stephen Alstrup, Gad M. Landau, Kunihiko Sadakane, Srinivasa Rao Satti, Rajeev Raman and Benjamin Sach. Their work appears in journals such as Theoretical Computer Science, Algorithmica, ACM Transactions on Algorithms, Theory of Computing Systems and IEEE Access.
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.