Andreas Krall

1.2k citations
75 papers · 970 · h-index 15

Impact in

    • Parallel Computing and Optimization Techniques
    • Embedded Systems Design Techniques
  • Software top 5%
    • Software Testing and Debugging Techniques

Papers in

Andreas Krall

67 papers receiving 877 citations

Peers

Andreas Krall
Comparison fields: 5 of 54
  • Hardware and Architecture 628
  • Software 202
  • Computer Networks and Communications 356
  • Artificial Intelligence 448
  • Information Systems 200
Replace Olaf Owe with:
Olaf Owe Norway
John Plaice Australia
Abhishek Udupa United States
Gilles Muller France
Traian Florin Şerbănuţă United States
Julia Lawall France
Russell W. Quong United States
Guido Salvaneschi Germany
Alper Şen Türkiye
Chuck Weinstock United States
Andreas Krall relative to Olaf Owe Norway Olaf Owe's profile →
Citations per field
00.5×2.6×
Olaf Owe · 1×
Citations per year

Countries citing papers authored by Andreas Krall

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Krall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Andreas Krall, 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 Andreas Krall Line = papers co-authored together Andreas Krall links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199883
2 200079
3 199765
4 201162
5 200260
6 199757
7 199747
8 201145
9 199838
10 199438
11 199426
12 200223
13 199919
14 199118
15 200817
16 201314
17 199413
18 200312
19 200712
20 200612

About Andreas Krall

Andreas Krall is a scholar working on Hardware and Architecture, Artificial Intelligence, Software, Computational Theory and Mathematics and Computer Networks and Communications, having authored 75 papers that have together received 970 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (54 papers), Embedded Systems Design Techniques (31 papers), Logic, programming, and type systems (23 papers), Software Testing and Debugging Techniques (18 papers), Formal Methods in Verification (17 papers), Real-Time Systems Scheduling (10 papers), Distributed and Parallel Computing Systems (9 papers) and Model-Driven Software Engineering Techniques (5 papers). The work is most often cited by research in Hardware and Architecture (628 citations), Software (202 citations), Computer Networks and Communications (356 citations), Artificial Intelligence (448 citations) and Information Systems (200 citations). Andreas Krall has collaborated with scholars based in Austria, Canada and Switzerland. Frequent co-authors include M. Anton Ertl, Jan Vítek, R. Nigel Horspool, David Gregg, Thomas Moser, Florian Brandner, Bernhard Scholz, Dietmar Ebner, Inah Omoronyia and Tor Stålhane. Their work appears in journals such as ACM SIGPLAN Notices, Software Practice and Experience, Lecture notes in computer science, Journal of Systems Architecture and IEEE Micro.

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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