Holger Bock Axelsen

785 citations
13 papers · 183 indexed · h-index 7
Topics
Quantum Computing Algorithms and Architecture (10 papers)Computability, Logic, AI Algorithms (6 papers)Parallel Computing and Optimization Techniques (4 papers)
Partner nations
DenmarkJapanGermany

In The Last Decade

Holger Bock Axelsen

10 papers receiving 172 citations

Peers

Holger Bock Axelsen
Comparison fields: 5 of 25
  • Artificial Intelligence 151
  • Computational Theory and Mathematics 120
  • Computer Networks and Communications 29
  • Hardware and Architecture 29
  • Electrical and Electronic Engineering 28
Replace Federico Olmedo with:
Federico Olmedo Chile
Clemens Ballarin Germany
Ashish V. Naik United States
Margherita Zorzi Italy
Carlos Olarte Brazil
Darshan Thaker United States
Luı́s Cruz-Filipe Denmark
Anthony Fox United Kingdom
Silvia Ghilezan Serbia
Zhengbing Bian Canada
Holger Bock Axelsen relative to Federico Olmedo Chile Federico Olmedo's profile →
Citations per field
00.5×4.7×
Federico Olmedo · 1×
Citations per year

Countries citing papers authored by Holger Bock Axelsen

Since Specialization
Citations

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

Fields of papers citing papers by Holger Bock Axelsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Holger Bock Axelsen. 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 Holger Bock Axelsen. The network helps show where Holger Bock Axelsen may publish in the future.

Co-authorship network of co-authors of Holger Bock Axelsen

This figure shows the co-authorship network connecting the top 25 collaborators of Holger Bock Axelsen. A scholar is included among the top collaborators of Holger Bock Axelsen 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 Holger Bock Axelsen. Holger Bock Axelsen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 0
2 0
3 15
4 7
5 28
6 6
7
Optimizing reversible simulation of injective functions
6
8 1
9 1
10 65
11
MicroPower: towards low-power microprocessors with reversible computing
3
12 8
13 43

About Holger Bock Axelsen

Holger Bock Axelsen is a scholar working on Computational Theory and Mathematics, Hardware and Architecture and Artificial Intelligence, having authored 13 papers that have together received 183 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (10 papers), Computability, Logic, AI Algorithms (6 papers) and Parallel Computing and Optimization Techniques (4 papers). The work is most often cited by research in Computational Theory and Mathematics (120 citations), Artificial Intelligence (151 citations) and Hardware and Architecture (29 citations). Holger Bock Axelsen has collaborated with scholars based in Denmark, Japan and Germany. Frequent co-authors include Robert Glück, Michael Kirkedal Thomsen, Tetsuo Yokoyama, Alexis De Vos, Markus Holzer, Martin Kutrib and Andreas Malcher. Their work appears in journals such as Theoretical Computer Science, Journal of Physics A Mathematical and Theoretical and Acta Informatica.

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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