Max Heimel

591 citations
17 papers · 417 · h-index 11

Impact in

Papers in

Max Heimel

16 papers receiving 386 citations

Peers

Max Heimel
Comparison fields: 5 of 28
  • Signal Processing 167
  • Computer Networks and Communications 350
  • Hardware and Architecture 101
  • Information Systems 164
  • Computer Vision and Pattern Recognition 100
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Berni Schiefer United States
Çagri Balkesen Switzerland
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Citations per year

Countries citing papers authored by Max Heimel

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

17 of 17 papers shown
#Work
1 2013103
2 201560
3 201446
4 201742
5 201041
6
MapReduce and PACT - Comparing Data Parallel Programming Models.
201125
7
A First Step Towards GPU-assisted Query Optimization
201224
8 201421
9 201418
10 201412
11
The Operator Variant Selection Problem on Heterogeneous Hardware.
201511
12 20147
13 20134
14 20131
15
A Bayesian approach to estimating the selectivity of conjunctive predicates
20091
16 20251
17 20250

About Max Heimel

Max Heimel is a scholar working on Computer Networks and Communications, Signal Processing, Information Systems, Hardware and Architecture and Information Systems and Management, having authored 17 papers that have together received 417 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (12 papers), Cloud Computing and Resource Management (7 papers), Data Management and Algorithms (7 papers), Advanced Data Storage Technologies (5 papers), Distributed systems and fault tolerance (3 papers), Parallel Computing and Optimization Techniques (3 papers), Scientific Computing and Data Management (2 papers) and Graph Theory and Algorithms (2 papers). The work is most often cited by research in Signal Processing (167 citations), Computer Networks and Communications (350 citations), Hardware and Architecture (101 citations), Information Systems (164 citations) and Computer Vision and Pattern Recognition (100 citations). Max Heimel has collaborated with scholars based in Germany, France and Denmark. Frequent co-authors include Volker Markl, Sebastian Breß, Stefan Manegold, Holger Pirk, Gunter Saake, Norbert Siegmund, Ladjel Bellatreche, Daniel Warneke, Alexander K. Alexandrov and Stephan Ewen. Their work appears in journals such as Proceedings of the VLDB Endowment, Data & Knowledge Engineering, Lecture notes in computer science, Advances in intelligent systems and computing 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.

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