Inge Li Gørtz
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 10%
- Molecular Biology
- Hardware and Architecture top 10%
- Computer Networks and Communications
- Co-authors
- Philip BilleBenjamin SachViswanath NagarajanAnthony WirthNicola PrezzaGad M. LandauOren WeimannRolf Fagerberg
- Topics
- Algorithms and Data Compression (31 papers)Network Packet Processing and Optimization (12 papers)Data Management and Algorithms (9 papers)
- Journals
- Theoretical Computer ScienceJournal of Computer and System SciencesMathematics of Operations Research
- Partner nations
- DenmarkIsraelUnited States
In The Last Decade
Inge Li Gørtz
37 papers receiving 151 citations
Peers
Comparison fields: 5 of 34
- Artificial Intelligence 120
- Computational Theory and Mathematics 62
- Molecular Biology 47
- Hardware and Architecture 42
- Computer Networks and Communications 16
Countries citing papers authored by Inge Li Gørtz
This map shows the geographic impact of Inge Li Gørtz'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 Inge Li Gørtz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Inge Li Gørtz more than expected).
Fields of papers citing papers by Inge Li Gørtz
This network shows the impact of papers produced by Inge Li Gørtz. 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 Inge Li Gørtz. The network helps show where Inge Li Gørtz may publish in the future.
Co-authorship network of co-authors of Inge Li Gørtz
This figure shows the co-authorship network connecting the top 25 collaborators of Inge Li Gørtz. A scholar is included among the top collaborators of Inge Li Gørtz 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 Inge Li Gørtz. Inge Li Gørtz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 5 | |
| 9 | 6 | |
| 10 | 1 | |
| 11 | 5 | |
| 12 | 1 | |
| 13 | Dynamic Relative Compression. | 2 |
| 14 | 3 | |
| 15 | 10 | |
| 16 | 0 | |
| 17 | 20 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 1 |
About Inge Li Gørtz
Inge Li Gørtz is a scholar working on Hardware and Architecture, Artificial Intelligence and Computational Theory and Mathematics, having authored 42 papers that have together received 158 indexed citations. Recurring topics across this work include Algorithms and Data Compression (31 papers), Network Packet Processing and Optimization (12 papers) and Data Management and Algorithms (9 papers). The work is most often cited by research in Hardware and Architecture (42 citations), Computational Theory and Mathematics (62 citations) and Artificial Intelligence (120 citations). Inge Li Gørtz has collaborated with scholars based in Denmark, Israel and United States. Frequent co-authors include Philip Bille, Benjamin Sach, Viswanath Nagarajan, Anthony Wirth, Nicola Prezza, Gad M. Landau, Oren Weimann, Rolf Fagerberg, R. Ravi and Stephen Alstrup. Their work appears in journals such as Theoretical Computer Science, Journal of Computer and System Sciences and Mathematics of Operations Research.
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.