Christoph Stach

70 total papers · 497 total citations
43 papers, 292 citations indexed

About

Christoph Stach is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Christoph Stach has authored 43 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Information Systems, 16 papers in Artificial Intelligence and 15 papers in Computer Networks and Communications. Recurrent topics in Christoph Stach's work include Privacy-Preserving Technologies in Data (13 papers), Privacy, Security, and Data Protection (12 papers) and Advanced Malware Detection Techniques (12 papers). Christoph Stach is often cited by papers focused on Privacy-Preserving Technologies in Data (13 papers), Privacy, Security, and Data Protection (12 papers) and Advanced Malware Detection Techniques (12 papers). Christoph Stach collaborates with scholars based in Germany, New Zealand and Norway. Christoph Stach's co-authors include Bernhard Mitschang, Clémentine Gritti, Christoph Gröger, Stefan Wagner, Holger Schwarz, Engelbert Westkämper, Frank Dürr, Christian Weber, Pascal Hirmer and Andreas Fritsch and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal Of Big Data and Future Internet.

In The Last Decade

Christoph Stach

39 papers receiving 277 citations

Author Peers

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

Author Last Decade Papers Cites
Christoph Stach 169 88 72 69 54 43 292
Arif Djunaidy 124 0.7× 95 1.1× 36 0.5× 24 0.3× 19 0.4× 70 286
Shichang Xuan 177 1.0× 103 1.2× 30 0.4× 28 0.4× 127 2.4× 34 321
Torsten Priebe 157 0.9× 141 1.6× 104 1.4× 27 0.4× 87 1.6× 20 289
Alberto Fernández-Isabel 79 0.5× 144 1.6× 31 0.4× 38 0.6× 49 0.9× 36 313
Markus Schatten 97 0.6× 152 1.7× 44 0.6× 27 0.4× 77 1.4× 78 314
Kaiyu Wan 107 0.6× 71 0.8× 32 0.4× 17 0.2× 138 2.6× 46 330
Marc Schmitt 83 0.5× 62 0.7× 20 0.3× 33 0.5× 45 0.8× 26 281
K. Vivekanandan 164 1.0× 139 1.6× 12 0.2× 32 0.5× 63 1.2× 55 326
Levent V. Orman 86 0.5× 106 1.2× 47 0.7× 66 1.0× 117 2.2× 52 291
Denis Reilly 160 0.9× 79 0.9× 41 0.6× 86 1.2× 81 1.5× 34 279

Countries citing papers authored by Christoph Stach

Since Specialization
Citations

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

Fields of papers citing papers by Christoph Stach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christoph Stach

This figure shows the co-authorship network connecting the top 25 collaborators of Christoph Stach. A scholar is included among the top collaborators of Christoph Stach 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 Christoph Stach. Christoph Stach 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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