Andreas Krall
Impact in
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
- Software top 5%
- Software Testing and Debugging Techniques
Papers in
-
- Parallel Computing and Optimization Techniques 37
- Embedded Systems Design Techniques 23
- Real-Time Systems Scheduling 5
-
- Logic, programming, and type systems 16
- Co-authors
- M. Anton Ertl (4 shared papers)R. Nigel Horspool (2 shared papers)Jan Vítek (2 shared papers)Florian Brandner (7 shared papers)David Gregg (1 shared paper)Dietmar Ebner (5 shared papers)Tor Stålhane (1 shared paper)Thomas Moser (1 shared paper)
In The Last Decade
Andreas Krall
46 papers receiving 554 citations
Peers
Comparison fields: 5 of 46
- Hardware and Architecture 453
- Software 121
- Computer Networks and Communications 255
- Artificial Intelligence 280
- Information Systems 121
Countries citing papers authored by Andreas Krall
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
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 20 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.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 72 | |
| 2 | 2000 | 71 | |
| 3 | 2002 | 52 | |
| 4 | 1997 | 51 | |
| 5 | 1997 | 47 | |
| 6 | 2011 | 38 | |
| 7 | 1994 | 37 | |
| 8 | 1998 | 33 | |
| 9 | 1994 | 19 | |
| 10 | 2002 | 19 | |
| 11 | 1999 | 14 | |
| 12 | 2008 | 13 | |
| 13 | 2006 | 12 | |
| 14 | 2007 | 10 | |
| 15 | 2004 | 10 | |
| 16 | 1996 | 9 | |
| 17 | 2002 | 8 | |
| 18 | 2004 | 8 | |
| 19 | 2003 | 7 | |
| 20 | 2006 | 7 |
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 48 papers that have together received 626 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (37 papers), Embedded Systems Design Techniques (23 papers), Logic, programming, and type systems (16 papers), Software Testing and Debugging Techniques (14 papers), Formal Methods in Verification (10 papers), Real-Time Systems Scheduling (5 papers), Distributed and Parallel Computing Systems (5 papers) and Radiation Effects in Electronics (3 papers). The work is most often cited by research in Hardware and Architecture (453 citations), Software (121 citations), Computer Networks and Communications (255 citations), Artificial Intelligence (280 citations) and Information Systems (121 citations). Andreas Krall has collaborated with scholars based in Austria, Canada and Australia. Frequent co-authors include M. Anton Ertl, R. Nigel Horspool, Jan Vítek, Florian Brandner, David Gregg, Dietmar Ebner, Tor Stålhane, Thomas Moser, Bernhard Scholz and Christine Eisenbeis. Their work appears in journals such as ACM SIGPLAN Notices, Software Practice and Experience, The Journal of Logic Programming, Journal of Systems Architecture and Ecological Modelling.
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.