Markus Weimer
- Computational Mathematics top 5%
- Artificial Intelligence top 1%
- Machine Learning and Data Classification 8
- Data Stream Mining Techniques 6
- Stochastic Gradient Optimization Techniques 5
- Machine Learning and Algorithms 4
- Information Systems top 1%
- Recommender Systems and Techniques 9
- Cloud Computing and Resource Management 8
- Software Engineering Research 4
-
- Graph Theory and Algorithms 5
- Co-authors
- Alex SmolaMartin ZinkevichLihong LiYehuda KorenAlexandros KaratzoglouNoam KoenigsteinGideon DrorPeter Brusilovsky
- Journals
- Proceedings of the VLDB Endowment (3 papers)Machine Learning (1 paper)ACM SIGMOD Record (1 paper)
- Partner nations
- United StatesUnited KingdomSouth Korea
In The Last Decade
Markus Weimer
41 papers receiving 1.4k citations
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | FLAML: A Fast and Lightweight AutoML Library | 2021 | 51 |
| 3 | 2019 | 24 | |
| 4 | From the Edge to the Cloud: Model Serving in ML.NET. | 2018 | 16 |
| 5 | Learning To Solve Circuit-SAT: An Unsupervised Differentiable Approach. | 2018 | 17 |
| 6 | Towards High-Performance Prediction Serving Systems | 2017 | 2 |
| 7 | Batch-Expansion Training: An Efficient Optimization Paradigm for Machine Learning. | 2017 | 1 |
| 8 | Towards Geo-Distributed Machine Learning. | 2016 | 28 |
| 9 | Elastic Distributed Bayesian Collaborative Filtering | 2014 | 2 |
| 10 | Distributed and Scalable PCA in the Cloud | 2014 | 1 |
| 11 | Towards Resource-Elastic Machine Learning | 2013 | 8 |
| 12 | Declarative Systems for Large-Scale Machine Learning. | 2012 | 23 |
| 13 | WWW 2012 Tutorial: New Templates for Scalable Data Analysis | 2012 | 2 |
| 14 | The Yahoo! Music Dataset and KDD-Cup'11 | 2011 | 152 |
| 15 | Parallelized Stochastic Gradient Descentbreakdown → | 2010 | 623 |
| 16 | Proceedings of the 1st International Workshop on Information Heterogeneity and Fusion in Recommender Systems | 2010 | 11 |
| 17 | Collaborative Filtering on a Budget | 2010 | 28 |
| 18 | 2010 | 10 | |
| 19 | Anti-Corruption and the Role of Chambers of Commerce and Business Associations | 2007 | 3 |
| 20 | Aufplatzen freier Wirbel und drallbehafteter Rohrströmungen | 1998 | 3 |
About Markus Weimer
Markus Weimer is a scholar working on Information Systems, Artificial Intelligence, Hardware and Architecture, Information Systems and Management and Computer Vision and Pattern Recognition, having authored 41 papers that have together received 1.5k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (9 papers), Machine Learning and Data Classification (8 papers), Cloud Computing and Resource Management (8 papers), Data Stream Mining Techniques (6 papers), Graph Theory and Algorithms (5 papers), Stochastic Gradient Optimization Techniques (5 papers), Machine Learning and Algorithms (4 papers) and Software Engineering Research (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, Iván Cantador and Tsvi Kuflik. Their work appears in journals such as Proceedings of the VLDB Endowment, Machine Learning, ACM SIGMOD Record, Journal of Aging and Health 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.