Markus Weimer
Impact in
- Computational Mathematics top 5%
- Artificial Intelligence top 1%
- Stochastic Gradient Optimization Techniques
- Privacy-Preserving Technologies in Data
- Advanced Graph Neural Networks
- Topic Modeling
Papers in
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- Machine Learning and Data Classification 8
- Data Stream Mining Techniques 6
- Stochastic Gradient Optimization Techniques 5
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- Recommender Systems and Techniques 9
- Cloud Computing and Resource Management 8
- Co-authors
- Alex Smola (4 shared papers)Martin Zinkevich (2 shared papers)Lihong Li (1 shared paper)Yehuda Koren (3 shared papers)Alexandros Karatzoglou (6 shared papers)Noam Koenigstein (1 shared paper)Gideon Dror (1 shared paper)Peter Brusilovsky (2 shared papers)
- Journals
- Proceedings of the VLDB Endowment (3 papers)Journal of Aging and Health (1 paper)Machine Learning (1 paper)ACM SIGMOD Record (1 paper)arXiv (Cornell University) (2 papers)
- Partner nations
- United StatesUnited KingdomSouth Korea
In The Last Decade
Markus Weimer
41 papers receiving 1.4k citations
Markus Weimer's Hit Papers
Peers
Comparison fields: 5 of 110
- Computational Mathematics 30
- Artificial Intelligence 934
- Information Systems 559
- Computer Vision and Pattern Recognition 438
- Computer Networks and Communications 320
Countries citing papers authored by Markus Weimer
This map shows the geographic impact of Markus Weimer'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 Markus Weimer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Weimer more than expected).
Fields of papers citing papers by Markus Weimer
This network shows the impact of papers produced by Markus Weimer. 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 Markus Weimer. The network helps show where Markus Weimer may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus Weimer, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Parallelized Stochastic Gradient Descent Hit paper breakdown → | 2010 | 623 |
| 2 | The Yahoo! Music Dataset and KDD-Cup'11 | 2011 | 152 |
| 3 | 2010 | 143 | |
| 4 | 2008 | 69 | |
| 5 | 2007 | 58 | |
| 6 | FLAML: A Fast and Lightweight AutoML Library | 2021 | 51 |
| 7 | 2013 | 33 | |
| 8 | 2018 | 32 | |
| 9 | Darmstadt Knowledge Processing Repository Based on UIMA | 2007 | 31 |
| 10 | Collaborative Filtering on a Budget | 2010 | 28 |
| 11 | Towards Geo-Distributed Machine Learning. | 2016 | 28 |
| 12 | 2019 | 24 | |
| 13 | Declarative Systems for Large-Scale Machine Learning. | 2012 | 23 |
| 14 | 2013 | 22 | |
| 15 | 2020 | 19 | |
| 16 | 2008 | 18 | |
| 17 | Learning To Solve Circuit-SAT: An Unsupervised Differentiable Approach. | 2018 | 17 |
| 18 | From the Edge to the Cloud: Model Serving in ML.NET. | 2018 | 16 |
| 19 | 2022 | 16 | |
| 20 | 2009 | 14 |
About Markus Weimer
Markus Weimer is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Computer Networks and Communications and Information Systems and Management, having authored 41 papers that have together received 1.5k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (9 papers), Cloud Computing and Resource Management (8 papers), Machine Learning and Data Classification (8 papers), Data Stream Mining Techniques (6 papers), Stochastic Gradient Optimization Techniques (5 papers), Graph Theory and Algorithms (5 papers), Parallel Computing and Optimization Techniques (4 papers) and Scientific Computing and Data Management (4 papers). The work is most often cited by research in Computational Mathematics (30 citations), Artificial Intelligence (934 citations), Information Systems (559 citations), Computer Vision and Pattern Recognition (438 citations) and Computer Networks and Communications (320 citations). Markus Weimer has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Alex Smola, Martin Zinkevich, Lihong Li, Yehuda Koren, Alexandros Karatzoglou, Noam Koenigstein, Gideon Dror, Peter Brusilovsky, Tsvi Kuflik and Iván Cantador. Their work appears in journals such as Proceedings of the VLDB Endowment, Journal of Aging and Health, Machine Learning, ACM SIGMOD Record and arXiv (Cornell University).
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.