Rainer Gemulla
Impact in
- Computational Mathematics top 2%
- Artificial Intelligence top 1%
- Topic Modeling
- Advanced Graph Neural Networks
- Natural Language Processing Techniques
Papers in
-
- Topic Modeling 21
- Advanced Graph Neural Networks 16
- Algorithms and Data Compression 10
- Natural Language Processing Techniques 9
- Data Stream Mining Techniques 7
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- Advanced Database Systems and Queries 19
- Co-authors
- Luciano Del Corro (6 shared papers)Peter J. Haas (9 shared papers)Yannis Sismanis (5 shared papers)Erik Nijkamp (1 shared paper)Wolfgang Lehner (14 shared papers)Kevin S. Beyer (4 shared papers)Fatma Özcan (4 shared papers)Daniel Ruffinelli (6 shared papers)
- Journals
- Proceedings of the VLDB Endowment (7 papers)ACM Transactions on Database Systems (3 papers)The VLDB Journal (2 papers)Communications of the ACM (1 paper)Transactions of the Association for Computational Linguistics (1 paper)
- Partner nations
- GermanyUnited StatesAustralia
In The Last Decade
Rainer Gemulla
66 papers receiving 2.7k citations
Rainer Gemulla's Hit Papers
Peers
Comparison fields: 5 of 93
- Computational Mathematics 46
- Artificial Intelligence 1.7k
- Information Systems 1.0k
- Signal Processing 452
- Computer Networks and Communications 953
Countries citing papers authored by Rainer Gemulla
This map shows the geographic impact of Rainer Gemulla'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 Rainer Gemulla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rainer Gemulla more than expected).
Fields of papers citing papers by Rainer Gemulla
This network shows the impact of papers produced by Rainer Gemulla. 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 Rainer Gemulla. The network helps show where Rainer Gemulla may publish in the future.
Co-authors
The 25 scholars most cited alongside Rainer Gemulla, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Large-scale matrix factorization with distributed stochastic gradient descent Hit paper breakdown → | 2011 | 444 |
| 2 | ClausIE Hit paper breakdown → | 2013 | 330 |
| 3 | 2011 | 181 | |
| 4 | 2011 | 173 | |
| 5 | 2007 | 137 | |
| 6 | 2010 | 129 | |
| 7 | 2018 | 120 | |
| 8 | 2017 | 105 | |
| 9 | 2022 | 92 | |
| 10 | 2012 | 65 | |
| 11 | 2015 | 64 | |
| 12 | You CAN Teach an Old Dog New Tricks! On Training Knowledge Graph Embeddings | 2020 | 62 |
| 13 | 2020 | 53 | |
| 14 | 2009 | 53 | |
| 15 | 2010 | 48 | |
| 16 | 2013 | 46 | |
| 17 | 2009 | 46 | |
| 18 | 2007 | 40 | |
| 19 | Jaql: A Scripting Language for Large Scale Semistructured Data Analysis | 2011 | 39 |
| 20 | 2014 | 38 |
About Rainer Gemulla
Rainer Gemulla is a scholar working on Artificial Intelligence, Computer Networks and Communications, Signal Processing, Information Systems and Computational Theory and Mathematics, having authored 69 papers that have together received 2.8k indexed citations. Recurring topics across this work include Topic Modeling (21 papers), Advanced Database Systems and Queries (19 papers), Advanced Graph Neural Networks (16 papers), Data Management and Algorithms (14 papers), Algorithms and Data Compression (10 papers), Natural Language Processing Techniques (9 papers), Data Stream Mining Techniques (7 papers) and Data Mining Algorithms and Applications (7 papers). The work is most often cited by research in Computational Mathematics (46 citations), Artificial Intelligence (1.7k citations), Information Systems (1.0k citations), Signal Processing (452 citations) and Computer Networks and Communications (953 citations). Rainer Gemulla has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Luciano Del Corro, Peter J. Haas, Yannis Sismanis, Erik Nijkamp, Wolfgang Lehner, Kevin S. Beyer, Fatma Özcan, Daniel Ruffinelli, John McPherson and Mohamed Y. Eltabakh. Their work appears in journals such as Proceedings of the VLDB Endowment, ACM Transactions on Database Systems, The VLDB Journal, Communications of the ACM and Transactions of the Association for Computational Linguistics.
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.