Franz Gregor

726 citations
8 papers · 413 indexed · 1 hit paper · h-index 6

Impact in

Papers in

Journals
Edinburgh Research Explorer (University of Edinburgh) (1 paper)Operating Systems Design and Implementation (1 paper)Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing (1 paper)

In The Last Decade

Franz Gregor

8 papers receiving 404 citations

Hit Papers

SCONE: secure Linux containers with Intel SGX 2016 · 297 citations
297201620262019202250100150200250

Peers

Franz Gregor
Comparison fields: 5 of 17
  • Hardware and Architecture 80
  • Signal Processing 126
  • Artificial Intelligence 350
  • Information Systems 242
  • Computer Networks and Communications 190
Replace Dan O’Keeffe with:
Dan O’Keeffe United Kingdom
David Goltzsche Germany
Sergei Arnautov Germany
Divya Muthukumaran United Kingdom
Bohdan Trach Germany
Thomas Nyman Finland
Sanjeev Das Hong Kong
Chad Spensky United States
Anil Kurmus Switzerland
Amit Vasudevan United States
Franz Gregor relative to Dan O’Keeffe United Kingdom Dan O’Keeffe's profile →
Citations per field
00.5×1.5×
Dan O’Keeffe · 1×
Citations per year

Countries citing papers authored by Franz Gregor

Since Specialization
Citations

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

Fields of papers citing papers by Franz Gregor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 22 scholars most cited alongside Franz Gregor, 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 Franz Gregor Line = papers co-authored together Franz Gregor links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown

About Franz Gregor

Franz Gregor is a scholar working on Hardware and Architecture, Artificial Intelligence, Information Systems, Computer Networks and Communications and Signal Processing, having authored 8 papers that have together received 413 indexed citations. Recurring topics across this work include Security and Verification in Computing (8 papers), Cloud Data Security Solutions (4 papers), Distributed systems and fault tolerance (3 papers), Advanced Memory and Neural Computing (2 papers), Cryptography and Data Security (1 paper), Internet Traffic Analysis and Secure E-voting (1 paper), User Authentication and Security Systems (1 paper) and Parallel Computing and Optimization Techniques (1 paper). The work is most often cited by research in Hardware and Architecture (80 citations), Signal Processing (126 citations), Artificial Intelligence (350 citations), Information Systems (242 citations) and Computer Networks and Communications (190 citations). Franz Gregor has collaborated with scholars based in Germany, United Kingdom and Switzerland. Frequent co-authors include Christof Fetzer, Bohdan Trach, Sergei Arnautov, André Martin, Dan O’Keeffe, Rüdiger Kapitza, Thomas Knauth, David Eyers, Peter Pietzuch and Divya Muthukumaran. Their work appears in journals such as Edinburgh Research Explorer (University of Edinburgh), Operating Systems Design and Implementation and Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing.

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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