Robert Krahn

427 citations
17 papers · 256 · h-index 10

Impact in

Papers in

    • Cloud Data Security Solutions 5
    • Cloud Computing and Resource Management 3
    • Web Data Mining and Analysis 3
    • Web Applications and Data Management 2
    • Distributed and Parallel Computing Systems 4
    • Distributed systems and fault tolerance 3
    • Peer-to-Peer Network Technologies 3

Robert Krahn

17 papers receiving 241 citations

Peers

Robert Krahn
Comparison fields: 5 of 26
  • Information Systems 161
  • Software 24
  • Artificial Intelligence 161
  • Computer Networks and Communications 113
  • Hardware and Architecture 32
Replace Hongyu Gao with:
Hongyu Gao China
Stefan Marr Belgium
Ivan T. Bowman Canada
TJ OConnor United States
Fabienne Boyer France
Fred Long United States
Ira R. Forman United States
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Ennan Zhai United States
Orla Greevy Switzerland
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Citations per field
00.5×2.8×
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Citations per year

Countries citing papers authored by Robert Krahn

Since Specialization
Citations

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

Fields of papers citing papers by Robert Krahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Robert Krahn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Robert Krahn Line = papers co-authored together Robert Krahn links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1
Varys: protecting SGX enclaves from practical side-channel attacks
201871
2 201835
3 201532
4 200922
5 201819
6 201214
7 201610
8 200910
9 20219
10 20109
11 20127
12 20206
13 20154
14 20114
15 20152
16 20121
17 20161

About Robert Krahn

Robert Krahn is a scholar working on Information Systems, Computer Networks and Communications, Artificial Intelligence, Hardware and Architecture and Software, having authored 17 papers that have together received 256 indexed citations. Recurring topics across this work include Cloud Data Security Solutions (5 papers), Security and Verification in Computing (5 papers), Distributed and Parallel Computing Systems (4 papers), Cloud Computing and Resource Management (3 papers), Distributed systems and fault tolerance (3 papers), Peer-to-Peer Network Technologies (3 papers), Web Data Mining and Analysis (3 papers) and Web Applications and Data Management (2 papers). The work is most often cited by research in Information Systems (161 citations), Software (24 citations), Artificial Intelligence (161 citations), Computer Networks and Communications (113 citations) and Hardware and Architecture (32 citations). Robert Krahn has collaborated with scholars based in Germany, Canada and United States. Frequent co-authors include Christof Fetzer, Bohdan Trach, Robert Hirschfeld, Jens Lincke, André Martin, Oleksii Oleksenko, Mark Silberstein, Dan Ingalls, Thomas Heinze and Zbigniew Jerzak. Their work appears in journals such as ACM SIGMETRICS Performance Evaluation Review, Spiral (Imperial College London), Edinburgh Research Explorer and ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam).

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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