Rasmus Pagh

10.4k citations
91 papers · 2.3k · 1 hit paper · h-index 21

Impact in

Papers in

Rasmus Pagh

83 papers receiving 2.1k citations

Rasmus Pagh's Hit Papers

Cuckoo hashing 2004 · 655 citations
6550+7+14Years since publication200400600

Peers

Rasmus Pagh
Comparison fields: 5 of 91
  • Computational Mathematics 55
  • Hardware and Architecture 396
  • Computer Networks and Communications 1.2k
  • Artificial Intelligence 1.3k
  • Signal Processing 300
Replace Cevdet Aykanat with:
Cevdet Aykanat Türkiye
Aart J. C. Bik United States
Michael Carbin United States
Narayanan Sundaram United States
Md. Mostofa Ali Patwary United States
Andrej Krevl Slovenia
Hisao Tamaki Japan
Marek Karpiński Germany
Duane Merrill United States
Rasmus Pagh relative to Cevdet Aykanat Türkiye Cevdet Aykanat's profile →
Citations per field
00.5×
Cevdet Aykanat · 1×
Citations per year

Countries citing papers authored by Rasmus Pagh

Since Specialization
Citations

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

Fields of papers citing papers by Rasmus Pagh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Cuckoo hashing
Hit paper breakdown →
2004655
2 2013179
3
Cuckoo Hashing
2001131
4 200595
5 201192
6 200485
7 200179
8 201267
9 201356
10 200153
11 200948
12 201444
13 200841
14 201440
15 200336
16 200934
17 200128
18 200524
19 201322
20 201422

About Rasmus Pagh

Rasmus Pagh is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Signal Processing, having authored 91 papers that have together received 2.3k indexed citations. Recurring topics across this work include Algorithms and Data Compression (50 papers), Advanced Image and Video Retrieval Techniques (27 papers), Complexity and Algorithms in Graphs (20 papers), Cryptography and Data Security (15 papers), Data Management and Algorithms (15 papers), Caching and Content Delivery (13 papers), DNA and Biological Computing (11 papers) and Advanced Data Storage Technologies (9 papers). The work is most often cited by research in Computational Mathematics (55 citations), Hardware and Architecture (396 citations), Computer Networks and Communications (1.2k citations), Artificial Intelligence (1.3k citations) and Signal Processing (300 citations). Rasmus Pagh has collaborated with scholars based in Denmark, United States and Italy. Frequent co-authors include Flemming Friche Rodler, Ninh Pham, Anna Pagh, Charalampos E. Tsourakakis, Srinivasa Rao Satti, Dimitris Fotakis, Paul G. Spirakis, Peter Sanders, Torben Hagerup and Peter Bro Miltersen. Their work appears in journals such as Algorithmica, SIAM Journal on Computing, Journal of Algorithms, Theory of Computing Systems and Proceedings of the VLDB Endowment.

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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