Christoph Herbst

794 citations
4 papers · 78 indexed · h-index 3
Topics
Cryptographic Implementations and Security (3 papers)Chaos-based Image/Signal Encryption (2 papers)Cryptography and Residue Arithmetic (2 papers)
Journals
PLoS ONE
Partner nations
Austria

In The Last Decade

Christoph Herbst

4 papers receiving 77 citations

Peers

Christoph Herbst
Comparison fields: 5 of 18
  • Artificial Intelligence 61
  • Hardware and Architecture 40
  • Computer Vision and Pattern Recognition 20
  • Surgery 15
  • Signal Processing 10
Replace Toshinori Fukunaga with:
Toshinori Fukunaga Japan
Frédéric Valette France
David Samyde Belgium
Benoît Feix France
Mike Chrzanowski United States
Romain Poussier Singapore
Mario Kirschbaum Austria
Fukang Liu China
Prakash Dey India
Keting Jia China
Christoph Herbst relative to Toshinori Fukunaga Japan Toshinori Fukunaga's profile →
Citations per field
00.5×1.5×1.8×
Toshinori Fukunaga · 1×
Citations per year

Countries citing papers authored by Christoph Herbst

Since Specialization
Citations

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

Fields of papers citing papers by Christoph Herbst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christoph Herbst

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

All Works

4 of 4 papers shown
#WorkIndexed citations
1 15
2
Randomizing the Montgomery Multiplication to Repel Template Attacks on Multiplicative Masking
2
3
Enhancing Side-Channel Analysis with Low-Cost Shielding Techniques
12
4 49

About Christoph Herbst

Christoph Herbst is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 4 papers that have together received 78 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (3 papers), Chaos-based Image/Signal Encryption (2 papers) and Cryptography and Residue Arithmetic (2 papers). The work is most often cited by research in Hardware and Architecture (40 citations), Artificial Intelligence (61 citations) and Equine (2 citations). Christoph Herbst has collaborated with scholars based in Austria. Frequent co-authors include Jörn-Marc Schmidt, Thomas Plos, Michael Hutter, Christof Worda, Heinz Leipold, H Husslein, Maximilian Franz and Marcel Medwed. Their work appears in journals such as PLoS ONE.

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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