Thomas Willhalm

39 papers receiving 1.4k citations

Peers

Thomas Willhalm
Comparison fields: 5 of 68
  • Hardware and Architecture 518
  • Signal Processing 514
  • Computer Networks and Communications 1.0k
  • Computer Graphics and Computer-Aided Design 83
  • Computer Vision and Pattern Recognition 309
Replace Chinya V. Ravishankar with:
Chinya V. Ravishankar United States
Jack Orenstein United States
Ningfang Mi United States
Ekkehard Köhler Germany
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Citations per field
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Citations per year

Countries citing papers authored by Thomas Willhalm

Since Specialization
Citations

This map shows the geographic impact of Thomas Willhalm'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 Thomas Willhalm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Willhalm more than expected).

Fields of papers citing papers by Thomas Willhalm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas Willhalm. 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 Thomas Willhalm. The network helps show where Thomas Willhalm may publish in the future.

Co-authors

The 25 scholars most cited alongside Thomas Willhalm, 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 Thomas Willhalm Line = papers co-authored together Thomas Willhalm links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016242
2 2009172
3 2005105
4 200398
5 200794
6 200574
7 201970
8 200757
9 201753
10 201451
11 200548
12 201746
13
Fast Sorted-Set Intersection using SIMD Instructions.
201145
14
Vectorizing Database Column Scans with Complex Predicates
201344
15 200838
16
Instant Recovery for Main-Memory Databases
201535
17 200431
18 201527
19 201324
20 200523

About Thomas Willhalm

Thomas Willhalm is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Hardware and Architecture, Signal Processing and Computer Graphics and Computer-Aided Design, having authored 41 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (17 papers), Data Management and Algorithms (13 papers), Parallel Computing and Optimization Techniques (12 papers), Computational Geometry and Mesh Generation (10 papers), Advanced Database Systems and Queries (9 papers), Cloud Computing and Resource Management (6 papers), Data Visualization and Analytics (6 papers) and Graph Theory and Algorithms (5 papers). The work is most often cited by research in Hardware and Architecture (518 citations), Signal Processing (514 citations), Computer Networks and Communications (1.0k citations), Computer Graphics and Computer-Aided Design (83 citations) and Computer Vision and Pattern Recognition (309 citations). Thomas Willhalm has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Dorothea Wagner, Ismail Oukid, Wolfgang Lehner, Nicolae Popovici, Anisoara Nica, Heiko Schilling, Rolf H. Möhring, Hasso Plattner, Alexander Zeier and Jan Schäffner. Their work appears in journals such as Proceedings of the VLDB Endowment, Algorithmica, Journal of Graph Algorithms and Applications, IEEE Transactions on Intelligent Transportation Systems 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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