Peter van Emde Boas

22 papers receiving 200 citations

Peers

Peter van Emde Boas
Comparison fields: 5 of 40
  • Computational Theory and Mathematics 128
  • Artificial Intelligence 120
  • Computer Networks and Communications 78
  • Signal Processing 25
  • Computer Vision and Pattern Recognition 24
Replace Monika Rauch with:
Monika Rauch United States
Sanjeev Saluja India
Milan Ružić Denmark
Amr Elmasry Egypt
Tsvi Kopelowitz United States
Norbert Blüm Germany
Mark R. Brown United States
Martti Penttonen Finland
Paolo Giulio Franciosa Italy
Gregory E. Shannon United States
Peter van Emde Boas relative to Monika Rauch United States Monika Rauch's profile →
Citations per field
00.5×
Monika Rauch · 1×
Citations per year

Countries citing papers authored by Peter van Emde Boas

Since Specialization
Citations

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

Fields of papers citing papers by Peter van Emde Boas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter van Emde Boas. 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 Peter van Emde Boas. The network helps show where Peter van Emde Boas may publish in the future.

Co-authorship network of co-authors of Peter van Emde Boas

This figure shows the co-authorship network connecting the top 25 collaborators of Peter van Emde Boas. A scholar is included among the top collaborators of Peter van Emde Boas 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 Peter van Emde Boas. Peter van Emde Boas 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
#WorkIndexed citations
1
Thirty nine years of stratified trees
1
2 0
3
Axiomatization of ML and Cheq
1
4 2
5
Proceedings of the 26th International Colloquium on Automata, Languages and Programming
31
6 0
7
Associative Storage Modification Machines.
1
8
Machine Models and Simulation.
79
9
Nondeterminism fairness and a fundamental analogy.
9
10 4
11 9
12 14
13 14
14 3
15 11
16
The Reconstruction and Optimization of Trie Hashing Functions
3
17 2
18 23
19
Complexity of linear problems.
1
20 1

About Peter van Emde Boas

Peter van Emde Boas is a scholar working on Computational Theory and Mathematics, Discrete Mathematics and Combinatorics and Artificial Intelligence, having authored 25 papers that have together received 229 indexed citations. Recurring topics across this work include Computability, Logic, AI Algorithms (5 papers), Logic, Reasoning, and Knowledge (4 papers) and Cellular Automata and Applications (4 papers). The work is most often cited by research in Computational Theory and Mathematics (128 citations), Computer Graphics and Computer-Aided Design (24 citations) and Artificial Intelligence (120 citations). Peter van Emde Boas has collaborated with scholars based in Netherlands, Slovakia and United States. Frequent co-authors include Jiřı́ Wiedermann, Leen Torenvliet, Mogens Nielsen, Peter Lucas, Michael R. Hansen, Harry Buhrman, Andries E. Brouwer, Paul Vitányi, Mária Bieliková and John Tromp. Their work appears in journals such as Information Sciences, IBM Journal of Research and Development 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026