Max Heimel
Impact in
- Signal Processing top 5%
- Data Management and Algorithms
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- Advanced Database Systems and Queries
- Advanced Data Storage Technologies
- Distributed systems and fault tolerance
Papers in ⓘ
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- Advanced Database Systems and Queries 11
- Advanced Data Storage Technologies 6
- Distributed systems and fault tolerance 3
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- Data Management and Algorithms 6
- Co-authors
- Volker Markl (12 shared papers)Sebastian Breß (6 shared papers)Stefan Manegold (1 shared paper)Holger Pirk (1 shared paper)Gunter Saake (3 shared papers)Stephan Ewen (2 shared papers)Fabian Hueske (2 shared papers)Erik Nijkamp (2 shared papers)
- Journals
- Proceedings of the VLDB Endowment (5 papers)Data & Knowledge Engineering (1 paper)Datenbank-Spektrum (1 paper)BTW (1 paper)Very Large Data Bases (2 papers)
- Partner nations
- GermanyNetherlandsFrance
In The Last Decade
Max Heimel
15 papers receiving 288 citations
Peers
Comparison fields: 5 of 23
- Signal Processing 136
- Computer Networks and Communications 261
- Hardware and Architecture 66
- Information Systems 125
- Computer Vision and Pattern Recognition 76
Countries citing papers authored by Max Heimel
This map shows the geographic impact of Max Heimel'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 Max Heimel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max Heimel more than expected).
Fields of papers citing papers by Max Heimel
This network shows the impact of papers produced by Max Heimel. 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 Max Heimel. The network helps show where Max Heimel may publish in the future.
Co-authors
The 23 scholars most cited alongside Max Heimel, 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 | 2013 | 90 | |
| 2 | 2015 | 56 | |
| 3 | 2017 | 38 | |
| 4 | 2010 | 30 | |
| 5 | A First Step Towards GPU-assisted Query Optimization | 2012 | 21 |
| 6 | 2014 | 19 | |
| 7 | MapReduce and PACT - Comparing Data Parallel Programming Models. | 2011 | 17 |
| 8 | 2014 | 14 | |
| 9 | The Operator Variant Selection Problem on Heterogeneous Hardware. | 2015 | 11 |
| 10 | 2014 | 10 | |
| 11 | 2014 | 6 | |
| 12 | 2014 | 2 | |
| 13 | A Bayesian approach to estimating the selectivity of conjunctive predicates | 2009 | 1 |
| 14 | 2015 | 1 | |
| 15 | 2013 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2025 | 0 |
About Max Heimel
Max Heimel is a scholar working on Computer Networks and Communications, Signal Processing, Information Systems, Hardware and Architecture and Computer Vision and Pattern Recognition, having authored 17 papers that have together received 317 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (11 papers), Data Management and Algorithms (6 papers), Cloud Computing and Resource Management (6 papers), Advanced Data Storage Technologies (6 papers), Distributed systems and fault tolerance (3 papers), Parallel Computing and Optimization Techniques (3 papers), Scientific Computing and Data Management (2 papers) and Data Quality and Management (2 papers). The work is most often cited by research in Signal Processing (136 citations), Computer Networks and Communications (261 citations), Hardware and Architecture (66 citations), Information Systems (125 citations) and Computer Vision and Pattern Recognition (76 citations). Max Heimel has collaborated with scholars based in Germany, Netherlands and France. Frequent co-authors include Volker Markl, Sebastian Breß, Stefan Manegold, Holger Pirk, Gunter Saake, Stephan Ewen, Fabian Hueske, Erik Nijkamp, Daniel Warneke and A. Alexandrov. Their work appears in journals such as Proceedings of the VLDB Endowment, Data & Knowledge Engineering, Datenbank-Spektrum, BTW and Very Large Data Bases.
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.