Troels Henriksen

403 total citations
28 papers, 219 citations indexed

About

Troels Henriksen is a scholar working on Hardware and Architecture, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Troels Henriksen has authored 28 papers receiving a total of 219 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Hardware and Architecture, 13 papers in Artificial Intelligence and 11 papers in Computer Networks and Communications. Recurrent topics in Troels Henriksen's work include Parallel Computing and Optimization Techniques (20 papers), Logic, programming, and type systems (9 papers) and Embedded Systems Design Techniques (7 papers). Troels Henriksen is often cited by papers focused on Parallel Computing and Optimization Techniques (20 papers), Logic, programming, and type systems (9 papers) and Embedded Systems Design Techniques (7 papers). Troels Henriksen collaborates with scholars based in Denmark, Netherlands and Belarus. Troels Henriksen's co-authors include Cosmin E. Oancea, Martin Elsman, Fritz Henglein, P. Sadayappan, Daniel G. Gavin, Fabian Gieseke, Kristoffer H. Madsen, Jan Verbesselt, Jaco van de Pol and Magnus Madsen and has published in prestigious journals such as ACM SIGPLAN Notices, Proceedings of the ACM on Programming Languages and International Journal of Parallel Programming.

In The Last Decade

Troels Henriksen

23 papers receiving 213 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Troels Henriksen Denmark 9 166 100 91 32 27 28 219
William S. Moses United States 8 139 0.8× 89 0.9× 43 0.5× 23 0.7× 19 0.7× 17 192
Ben Lippmeier Australia 7 203 1.2× 130 1.3× 115 1.3× 10 0.3× 38 1.4× 17 243
Emil Axelsson Sweden 8 52 0.3× 28 0.3× 70 0.8× 47 1.5× 35 1.3× 23 187
Joël Falcou France 8 107 0.6× 84 0.8× 35 0.4× 14 0.4× 23 0.9× 22 165
Martin Griebl Germany 8 178 1.1× 125 1.3× 52 0.6× 9 0.3× 36 1.3× 15 208
Liang Yuan China 8 105 0.6× 110 1.1× 63 0.7× 31 1.0× 19 0.7× 30 225
Evan Rosser United States 5 181 1.1× 115 1.1× 78 0.9× 7 0.2× 58 2.1× 5 241
Preeti Malakar India 8 88 0.5× 139 1.4× 22 0.2× 25 0.8× 12 0.4× 35 198
Flavio Vella Italy 7 61 0.4× 75 0.8× 84 0.9× 60 1.9× 14 0.5× 31 175
Bernard Serpette France 8 56 0.3× 71 0.7× 98 1.1× 9 0.3× 62 2.3× 18 158

Countries citing papers authored by Troels Henriksen

Since Specialization
Citations

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

Fields of papers citing papers by Troels Henriksen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Troels Henriksen

This figure shows the co-authorship network connecting the top 25 collaborators of Troels Henriksen. A scholar is included among the top collaborators of Troels Henriksen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Troels Henriksen. Troels Henriksen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Henriksen, Troels, et al.. (2024). AUTOMAP: Inferring Rank-Polymorphic Function Applications with Integer Linear Programming. Proceedings of the ACM on Programming Languages. 8(OOPSLA2). 1787–1813.
2.
Madsen, Magnus, Jaco van de Pol, & Troels Henriksen. (2023). Fast and Efficient Boolean Unification for Hindley-Milner-Style Type and Effect Systems. Proceedings of the ACM on Programming Languages. 7(OOPSLA2). 516–543.
3.
Elsman, Martin & Troels Henriksen. (2023). Parallelism in a Region Inference Context. Proceedings of the ACM on Programming Languages. 7(PLDI). 884–906. 2 indexed citations
4.
Oancea, Cosmin E., et al.. (2022). Compiling a functional array language with non-semantic memory information. 1–13. 1 indexed citations
5.
Henriksen, Troels, et al.. (2022). AD for an Array Language with Nested Parallelism. Research at the University of Copenhagen (University of Copenhagen). 1–15. 3 indexed citations
6.
Henriksen, Troels. (2021). Bounds Checking on GPU. International Journal of Parallel Programming. 49(6). 761–775. 3 indexed citations
7.
Henriksen, Troels, et al.. (2020). Compiling Generalized Histograms for GPU. Research at the University of Copenhagen (University of Copenhagen). 1–14. 5 indexed citations
8.
Henriksen, Troels, et al.. (2019). Compositional deep learning in Futhark. Research at the University of Copenhagen (University of Copenhagen). 47–59. 1 indexed citations
9.
Henriksen, Troels, et al.. (2019). Incremental flattening for nested data parallelism. Research at the University of Copenhagen (University of Copenhagen). 53–67. 15 indexed citations
10.
Elsman, Martin, et al.. (2018). Static interpretation of higher-order modules in Futhark: functional GPU programming in the large. Proceedings of the ACM on Programming Languages. 2(ICFP). 1–30. 6 indexed citations
11.
Henriksen, Troels, Martin Elsman, & Cosmin E. Oancea. (2018). Modular acceleration: tricky cases of functional high-performance computing. Research at the University of Copenhagen (University of Copenhagen). 10–21. 3 indexed citations
12.
Henriksen, Troels, et al.. (2017). Strategies for regular segmented reductions on GPU. Research at the University of Copenhagen (University of Copenhagen). 42–52. 8 indexed citations
13.
Henriksen, Troels, et al.. (2017). Futhark: purely functional GPU-programming with nested parallelism and in-place array updates. ACM SIGPLAN Notices. 52(6). 556–571. 8 indexed citations
14.
Henriksen, Troels, et al.. (2017). Futhark: purely functional GPU-programming with nested parallelism and in-place array updates. Research at the University of Copenhagen (University of Copenhagen). 556–571. 64 indexed citations
15.
Henriksen, Troels. (2017). Design and Implementation of the Futhark Programming Language. 3 indexed citations
16.
Henriksen, Troels, et al.. (2016). Design and GPGPU performance of Futhark's redomap construct. Research at the University of Copenhagen (University of Copenhagen). 17–24. 11 indexed citations
17.
Henriksen, Troels, et al.. (2016). APL on GPUs: a TAIL from the past, scribbled in Futhark. Research at the University of Copenhagen (University of Copenhagen). 38–43. 11 indexed citations
18.
Elsman, Martin, et al.. (2016). FinPar. ACM Transactions on Architecture and Code Optimization. 13(2). 1–27. 14 indexed citations
19.
Henriksen, Troels & Cosmin E. Oancea. (2014). Bounds Checking. Research at the University of Copenhagen (University of Copenhagen). 88–94. 11 indexed citations
20.
Henriksen, Troels & Kristoffer H. Madsen. (1992). Parallel Algorithms for Global Optimization.. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 2 indexed citations

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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