Markus Weimer

3.2k citations
44 papers · 2.0k · 1 hit paper · h-index 20

Impact in

Papers in

    • Recommender Systems and Techniques 12
    • Cloud Computing and Resource Management 10
    • Machine Learning and Data Classification 7
    • Data Stream Mining Techniques 6
    • Advanced Graph Neural Networks 4
    • Stochastic Gradient Optimization Techniques 4

Markus Weimer

44 papers receiving 1.9k citations

Markus Weimer's Hit Papers

Parallelized Stochastic Gradient Descent 2010 · 659 citations
6590+5+10Years since publication200400600

Peers

Markus Weimer
Comparison fields: 5 of 106
  • Computational Mathematics 37
  • Information Systems 965
  • Artificial Intelligence 1.2k
  • Computer Vision and Pattern Recognition 585
  • Management Science and Operations Research 279
Replace Jeremiah Harmsen with:
Jeremiah Harmsen United States
Sugato Basu United States
Di Tao Niu Canada
Jason D. M. Rennie United States
Yingxia Shao China
Jianling Sun China
Noam Koenigstein Israel
Giorgio Terracina Italy
Markus Weimer relative to Jeremiah Harmsen United States Jeremiah Harmsen's profile →
Citations per field
00.5×2×4×6×8×9.4×
Jeremiah Harmsen · 1×
Citations per year

Countries citing papers authored by Markus Weimer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Markus Weimer Line = papers co-authored together Markus Weimer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Parallelized Stochastic Gradient Descent
Hit paper breakdown →
2010659
2
COFI RANK - Maximum margin matrix factorization for collaborative ranking
2007265
3 2010183
4
The Yahoo! Music Dataset and KDD-Cup'11
2011165
5 200887
6 200887
7 200764
8
FLAML: A Fast and Lightweight AutoML Library
202154
9 201337
10
Collaborative Filtering on a Budget
201033
11
Darmstadt Knowledge Processing Repository Based on UIMA
200733
12 201930
13
Towards Geo-Distributed Machine Learning.
201629
14 200824
15
Declarative Systems for Large-Scale Machine Learning.
201224
16
Predicting the Perceived Quality of Web Forum Posts
200723
17 201323
18 202023
19
Learning To Solve Circuit-SAT: An Unsupervised Differentiable Approach.
201820
20 202220

About Markus Weimer

Markus Weimer is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition and Management Science and Operations Research, having authored 44 papers that have together received 2.0k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (12 papers), Cloud Computing and Resource Management (10 papers), Machine Learning and Data Classification (7 papers), Data Stream Mining Techniques (6 papers), Scientific Computing and Data Management (5 papers), Graph Theory and Algorithms (5 papers), Advanced Graph Neural Networks (4 papers) and Stochastic Gradient Optimization Techniques (4 papers). The work is most often cited by research in Computational Mathematics (37 citations), Information Systems (965 citations), Artificial Intelligence (1.2k citations), Computer Vision and Pattern Recognition (585 citations) and Management Science and Operations Research (279 citations). Markus Weimer has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Alex J. Smola, Martin Zinkevich, Lihong Li, Alexandros Karatzoglou, Yehuda Koren, Quoc Viet Le, Noam Koenigstein, Gideon Dror, Iryna Gurevych and Tsvi Kuflik. Their work appears in journals such as Proceedings of the VLDB Endowment, Machine Learning, ACM Transactions on Computer Systems, ACM SIGMOD Record and Lecture notes in computer science.

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.

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