Daniel Rausch

32 total papers · 7.1k total citations
11 papers, 100 citations indexed

About

Daniel Rausch is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Daniel Rausch has authored 11 papers receiving a total of 100 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Information Systems and 3 papers in Computer Networks and Communications. Recurrent topics in Daniel Rausch's work include Cryptography and Data Security (7 papers), Advanced Authentication Protocols Security (3 papers) and Blockchain Technology Applications and Security (3 papers). Daniel Rausch is often cited by papers focused on Cryptography and Data Security (7 papers), Advanced Authentication Protocols Security (3 papers) and Blockchain Technology Applications and Security (3 papers). Daniel Rausch collaborates with scholars based in Germany, Switzerland and United States. Daniel Rausch's co-authors include Ralf Küsters, Christoph Egger, Dominique Schröder, Fabian Beck, Stephan Diehl, Rainer Lutz, Nicolas Huber, A. Vogt and Candace K. Chan and has published in prestigious journals such as Critical Care Medicine, Journal of Cryptology and Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security.

In The Last Decade

Daniel Rausch

9 papers receiving 96 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Daniel Rausch	57	56	32	12	12	11	100
Aljosha Judmayer	37 0.6×	67 1.2×	41 1.3×	14 1.2×	6 0.5×	10	101
María Lomelí	40 0.7×	28 0.5×	14 0.4×	7 0.6×	13 1.1×	11	115
Andrew Regenscheid	52 0.9×	33 0.6×	23 0.7×	11 0.9×	11 0.9×	8	72
Sophia Yakoubov	65 1.1×	50 0.9×	24 0.8×	4 0.3×	7 0.6×	8	88
Pratyay Mukherjee	74 1.3×	56 1.0×	35 1.1×	14 1.2×	12 1.0×	16	105
Muhammed F. Esgin	64 1.1×	63 1.1×	22 0.7×	18 1.5×	4 0.3×	8	97
Ahto Buldas	55 1.0×	64 1.1×	44 1.4×	11 0.9×	7 0.6×	14	108
Nicolas Palix	39 0.7×	54 1.0×	53 1.7×	12 1.0×	25 2.1×	12	102
Kaoutar Elkhiyaoui	71 1.2×	74 1.3×	35 1.1×	6 0.5×	7 0.6×	9	111
M. Choudary Gorantla	91 1.6×	42 0.8×	71 2.2×	14 1.2×	6 0.5×	10	112

Countries citing papers authored by Daniel Rausch

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Rausch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Rausch

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

All Works

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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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