Christoph Stach

498 citations
43 papers · 292 indexed · h-index 10
Topics
Privacy-Preserving Technologies in Data (13 papers)Privacy, Security, and Data Protection (12 papers)Advanced Malware Detection Techniques (12 papers)
Journals
SHILAP Revista de lepidopterologíaJournal Of Big DataFuture Internet
Partner nations
GermanyNew ZealandNorway

In The Last Decade

Christoph Stach

39 papers receiving 278 citations

Peers

Christoph Stach
Comparison fields: 5 of 53
  • Information Systems 169
  • Artificial Intelligence 88
  • Sociology and Political Science 72
  • Signal Processing 69
  • Computer Networks and Communications 54
Replace Haslina Md Sarkan with:
Haslina Md Sarkan Malaysia
Hamid Jahankhani United Kingdom
Rohiza Ahmad Malaysia
Clemens Sauerwein Austria
Maleknaz Nayebi Canada
Sofia Anna Menesidou Greece
Lopamudra Praharaj United States
Indika Kumara Netherlands
Venkata N Inukollu United States
Yiannis Verginadis Greece
Christoph Stach relative to Haslina Md Sarkan Malaysia Haslina Md Sarkan's profile →
Citations per field
00.5×7.7×
Haslina Md Sarkan · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 0
2 7
3 0
4 0
5 4
6 2
7 19
8 1
9 6
10 5
11 4
12
VAULT: A Privacy Approach Towards High-Utility Time Series Data
6
13 2
14 1
15 9
16 1
17 7
18 8
19 8
20
Mobile ortsbasierte Browserspiele.
1

About Christoph Stach

Christoph Stach is a scholar working on Information Systems, Signal Processing and Computer Networks and Communications, having authored 43 papers that have together received 292 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (13 papers), Privacy, Security, and Data Protection (12 papers) and Advanced Malware Detection Techniques (12 papers). The work is most often cited by research in Information Systems (169 citations), Signal Processing (69 citations) and Management Information Systems (40 citations). Christoph Stach has collaborated with scholars based in Germany, New Zealand and Norway. Frequent co-authors include Bernhard Mitschang, Clémentine Gritti, Christoph Gröger, Holger Schwarz, Stefan Wagner, Engelbert Westkämper, Frank Dürr, Pascal Hirmer, Christian Weber and Muhammad Adnan Tariq. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal Of Big Data and Future Internet.

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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