Gabriele Keller

2.2k citations
57 papers · 1.2k indexed · h-index 17

Impact in

Papers in

Gabriele Keller

54 papers receiving 1.1k citations

Peers

Gabriele Keller
Comparison fields: 5 of 64
  • Hardware and Architecture 694
  • Software 106
  • Computer Networks and Communications 530
  • Artificial Intelligence 722
  • Computational Theory and Mathematics 239
Replace Manuel M. T. Chakravarty with:
Manuel M. T. Chakravarty Australia
Rishiyur S. Nikhil United States
Simon Marlow United Kingdom
Henry G. Baker United States
Scott F. Smith United States
John Launchbury United States
Chris Hawblitzel United States
David Tarditi United States
Adam Chlipala United States
Gilles Muller France
Gabriele Keller relative to Manuel M. T. Chakravarty Australia Manuel M. T. Chakravarty's profile →
Citations per field
00.5×1.5×1.8×
Manuel M. T. Chakravarty · 1×
Citations per year

Countries citing papers authored by Gabriele Keller

Since Specialization
Citations

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

Fields of papers citing papers by Gabriele Keller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gabriele Keller, 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 Gabriele Keller Line = papers co-authored together Gabriele Keller links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20241
3 20233
4 20231
5 20175
6 20177
7 20162
8 20132
9 201357
10 20120
11 20123
12
Partial Vectorisation of Haskell Programs
20084
13 200762
14 2005130
15 200516
16 200513
17 200417
18 20024
19 20002
20 200028

About Gabriele Keller

Gabriele Keller is a scholar working on Hardware and Architecture, Artificial Intelligence, Computer Networks and Communications, Computer Graphics and Computer-Aided Design and Software, having authored 57 papers that have together received 1.2k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (36 papers), Logic, programming, and type systems (26 papers), Security and Verification in Computing (14 papers), Advanced Data Storage Technologies (9 papers), Embedded Systems Design Techniques (9 papers), Distributed and Parallel Computing Systems (7 papers), Distributed systems and fault tolerance (6 papers) and Software Engineering Research (5 papers). The work is most often cited by research in Hardware and Architecture (694 citations), Software (106 citations), Computer Networks and Communications (530 citations), Artificial Intelligence (722 citations) and Computational Theory and Mathematics (239 citations). Gabriele Keller has collaborated with scholars based in Australia, United Kingdom and Netherlands. Frequent co-authors include Manuel M. T. Chakravarty, Simon Peyton Jones, Roman Leshchinskiy, Simon Marlow, Ben Lippmeier, Trevor L. McDonell, Vinod Grover, Sean Lee, Simon Jones and H. Chaffey-Millar. Their work appears in journals such as ACM SIGPLAN Notices, Journal of Functional Programming, IEEE Transactions on Signal Processing, Software Testing Verification and Reliability and Science of Computer Programming.

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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