Carsten Baum

1.5k citations
38 papers · 824 · h-index 17

Impact in

Papers in

Carsten Baum

35 papers receiving 804 citations

Peers

Carsten Baum
Comparison fields: 5 of 40
  • Artificial Intelligence 736
  • Computational Theory and Mathematics 294
  • Information Systems 324
  • Computer Networks and Communications 108
  • Computer Vision and Pattern Recognition 53
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Julian Loss Germany
Emmanuela Orsini United Kingdom
Nico Döttling Germany
Ward Beullens Belgium
Ilan Komargodski Israel
Iftach Haitner Israel
Satoshi Hada Japan
Mohammad Mahmoody United States
Massimiliano Sala Italy
Khoa Nguyen Singapore
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Citations per field
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Citations per year

Countries citing papers authored by Carsten Baum

Since Specialization
Citations

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

Fields of papers citing papers by Carsten Baum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201892
2 201476
3 202157
4 201853
5 201851
6 202050
7 202140
8 202038
9 202337
10 202137
11 202127
12 202027
13 201624
14 202024
15 201622
16 201621
17 202119
18 202216
19 202014
20 202312

About Carsten Baum

Carsten Baum is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Information Systems, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 38 papers that have together received 824 indexed citations. Recurring topics across this work include Cryptography and Data Security (36 papers), Privacy-Preserving Technologies in Data (14 papers), Complexity and Algorithms in Graphs (13 papers), Blockchain Technology Applications and Security (9 papers), Cryptographic Implementations and Security (9 papers), Internet Traffic Analysis and Secure E-voting (5 papers), Cryptography and Residue Arithmetic (4 papers) and Advanced Authentication Protocols Security (3 papers). The work is most often cited by research in Artificial Intelligence (736 citations), Computational Theory and Mathematics (294 citations), Information Systems (324 citations), Computer Networks and Communications (108 citations) and Computer Vision and Pattern Recognition (53 citations). Carsten Baum has collaborated with scholars based in Denmark, United States and Belgium. Frequent co-authors include Peter Schöll, Ivan Damgård, Bernardo David, Emmanuela Orsini, Vadim Lyubashevsky, Claudio Orlandi, Ariel Nof, Chris Peikert, Tore Kasper Frederiksen and Huang Lin. Their work appears in journals such as Lecture notes in computer science, Journal of Geophysical Research Planets, Designs Codes and Cryptography, Duo Research Archive (University of Oslo) and DROPS (Schloss Dagstuhl – Leibniz Center for Informatics).

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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