Carsten Baum

1.5k total citations
7 papers, 25 citations indexed

About

Carsten Baum is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Carsten Baum has authored 7 papers receiving a total of 25 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Computational Theory and Mathematics and 1 paper in Computer Networks and Communications. Recurrent topics in Carsten Baum's work include Cryptography and Data Security (5 papers), Privacy-Preserving Technologies in Data (3 papers) and Numerical Methods and Algorithms (2 papers). Carsten Baum is often cited by papers focused on Cryptography and Data Security (5 papers), Privacy-Preserving Technologies in Data (3 papers) and Numerical Methods and Algorithms (2 papers). Carsten Baum collaborates with scholars based in Denmark, United States and Norway. Carsten Baum's co-authors include Peter Schöll, Diego F. Aranha, Kristian Gjøsteen, Csilla Orgel, Greg Michael, Nigel P. Smart, Emmanuela Orsini, C. H. van der Bogert, H. Hiesinger and Daniel Wichs and has published in prestigious journals such as Journal of Geophysical Research Planets, Designs Codes and Cryptography and Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security.

In The Last Decade

Carsten Baum

7 papers receiving 24 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Carsten Baum Denmark	4	16	8	6	5	4	7	25
Laurent Péret France	3	26 1.6×	3 0.4×	9 1.5×	5 1.0×	12 3.0×	4	43
Pratish Datta India	3	17 1.1×	9 1.1×		4 0.8×	2 0.5×	9	18
Florian Wilhelm Germany	4	6 0.4×	5 0.6×		5 1.0×	3 0.8×	8	24
Silas Richelson United States	3	27 1.7×	10 1.3×		4 0.8×	4 1.0×	8	29
Anat Paskin-Cherniavsky Israel	3	17 1.1×	7 0.9×		3 0.6×	3 0.8×	8	18
Eliav Buchnik United States	3	19 1.2×	4 0.5×		4 0.8×	3 0.8×	8	27
Junichi Tomida Japan	5	27 1.7×	6 0.8×		11 2.2×	4 1.0×	7	33
Sandro Coretti United States	3	15 0.9×	9 1.1×	1 0.2×	5 1.0×	11 2.8×	4	27
E. Golobardes Spain	4	20 1.3×	7 0.9×		3 0.6×	8 2.0×	5	37
Adam Rogalewicz Czechia	4	22 1.4×	6 0.8×	2 0.3×	26 5.2×	7 1.8×	5	39

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-authorship network of co-authors of Carsten Baum

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Baum, Carsten, Ivan Damgård, Kevin M. Esvelt, et al.. (2024). Efficient Maliciously Secure Oblivious Exponentiations. 1 indexed citations

2.

Baum, Carsten, et al.. (2023). Sok: vector OLE-based zero-knowledge protocols. Designs Codes and Cryptography. 91(11). 3527–3561. 1 indexed citations

3.

Aranha, Diego F., et al.. (2023). Verifiable Mix-Nets and Distributed Decryption for Voting from Lattice-Based Assumptions. Scopus (Elsevier). 1467–1481. 6 indexed citations

4.

Baum, Carsten, et al.. (2022). Feta. Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security. 293–306. 3 indexed citations

5.

Baum, Carsten, et al.. (2021). Appenzeller to Brie: Efficient Zero-Knowledge Proofs for Mixed-Mode Arithmetic and Z2k. 192–211. 7 indexed citations

6.

Michael, Greg, et al.. (2021). Studying the Global Spatial Randomness of Impact Craters on Mercury, Venus, and the Moon With Geodesic Neighborhood Relationships. Journal of Geophysical Research Planets. 126(3). 6 indexed citations

7.

Baum, Carsten, et al.. (2020). Mac'n'Cheese: Zero-Knowledge Proofs for Boolean and Arithmetic Circuits with Nested Disjunctions. IACR Cryptology ePrint Archive. 1 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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