Simon Gog
Impact in
- Hardware and Architecture top 10%
- Network Packet Processing and Optimization
- Artificial Intelligence top 10%
- Algorithms and Data Compression
- Natural Language Processing Techniques
Papers in
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- Algorithms and Data Compression 26
- Natural Language Processing Techniques 7
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- Genomics and Phylogenetic Studies 12
- DNA and Biological Computing 5
- Co-authors
- Enno Ohlebusch (5 shared papers)Matthias Petri (5 shared papers)Guilherme P. Telles (8 shared papers)Timo Beller (2 shared papers)Rossano Venturini (2 shared papers)Alistair Moffat (3 shared papers)Johannes Fischer (1 shared paper)Juha Kärkkäinen (3 shared papers)
In The Last Decade
Simon Gog
28 papers receiving 193 citations
Peers
Comparison fields: 5 of 19
- Hardware and Architecture 63
- Artificial Intelligence 171
- Computer Vision and Pattern Recognition 36
- Molecular Biology 115
- Computer Networks and Communications 27
Countries citing papers authored by Simon Gog
This map shows the geographic impact of Simon Gog'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 Simon Gog with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Gog more than expected).
Fields of papers citing papers by Simon Gog
This network shows the impact of papers produced by Simon Gog. 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 Simon Gog. The network helps show where Simon Gog may publish in the future.
Co-authors
The 21 scholars most cited alongside Simon Gog, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 36 | |
| 2 | 2017 | 22 | |
| 3 | 2012 | 17 | |
| 4 | 2009 | 15 | |
| 5 | 2018 | 13 | |
| 6 | 2013 | 13 | |
| 7 | 2012 | 12 | |
| 8 | 2013 | 10 | |
| 9 | 2020 | 9 | |
| 10 | 2016 | 8 | |
| 11 | 2016 | 5 | |
| 12 | 2010 | 5 | |
| 13 | 2016 | 5 | |
| 14 | 2015 | 4 | |
| 15 | 2008 | 4 | |
| 16 | 2016 | 3 | |
| 17 | 2019 | 3 | |
| 18 | 2008 | 3 | |
| 19 | 2022 | 2 | |
| 20 | 2016 | 2 |
About Simon Gog
Simon Gog is a scholar working on Artificial Intelligence, Molecular Biology, Hardware and Architecture, Computer Vision and Pattern Recognition and Information Systems, having authored 29 papers that have together received 201 indexed citations. Recurring topics across this work include Algorithms and Data Compression (26 papers), Genomics and Phylogenetic Studies (12 papers), Network Packet Processing and Optimization (10 papers), Natural Language Processing Techniques (7 papers), DNA and Biological Computing (5 papers), Advanced Image and Video Retrieval Techniques (4 papers), Genome Rearrangement Algorithms (3 papers) and Data Management and Algorithms (2 papers). The work is most often cited by research in Hardware and Architecture (63 citations), Artificial Intelligence (171 citations), Computer Vision and Pattern Recognition (36 citations), Molecular Biology (115 citations) and Computer Networks and Communications (27 citations). Simon Gog has collaborated with scholars based in Germany, Brazil and Australia. Frequent co-authors include Enno Ohlebusch, Matthias Petri, Guilherme P. Telles, Timo Beller, Rossano Venturini, Alistair Moffat, Johannes Fischer, Juha Kärkkäinen, Dominik Kempa and Simon J. Puglisi. Their work appears in journals such as Theoretical Computer Science, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, IEEE Transactions on Knowledge and Data Engineering, Algorithmica and Bioinformatics.
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.