Andrei Lascu
Impact in
- Software top 2%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques
Papers in
- Software 8
- Software Testing and Debugging Techniques 8
- Software Reliability and Analysis Research 2
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- Parallel Computing and Optimization Techniques 3
- VLSI and Analog Circuit Testing 2
- Co-authors
- Alastair F. Donaldson (8 shared papers)Nathan Chong (2 shared papers)Paul Thomson (1 shared paper)Tobias Grosser (2 shared papers)Torsten Hoefler (1 shared paper)John Wickerson (1 shared paper)
- Journals
- Proceedings of the ACM on Programming Languages (1 paper)ACM SIGPLAN Notices (1 paper)Spiral (Imperial College London) (3 papers)
- Partner nations
- United KingdomSwitzerland
In The Last Decade
Andrei Lascu
7 papers receiving 301 citations
Peers
Comparison fields: 5 of 22
- Software 269
- Hardware and Architecture 64
- Information Systems 165
- Signal Processing 73
- Computer Networks and Communications 52
Countries citing papers authored by Andrei Lascu
This map shows the geographic impact of Andrei Lascu'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 Andrei Lascu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrei Lascu more than expected).
Fields of papers citing papers by Andrei Lascu
This network shows the impact of papers produced by Andrei Lascu. 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 Andrei Lascu. The network helps show where Andrei Lascu may publish in the future.
Co-authors
The 6 scholars most cited alongside Andrei Lascu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 113 | |
| 2 | 2017 | 92 | |
| 3 | 2015 | 45 | |
| 4 | 2016 | 34 | |
| 5 | 2016 | 12 | |
| 6 | 2021 | 6 | |
| 7 | 2022 | 2 | |
| 8 | Integrating a large-scale testing campaign in the CK framework | 2015 | 0 |
About Andrei Lascu
Andrei Lascu is a scholar working on Software, Hardware and Architecture, Information Systems, Signal Processing and Electrical and Electronic Engineering, having authored 8 papers that have together received 304 indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (8 papers), Software Engineering Research (4 papers), Parallel Computing and Optimization Techniques (3 papers), Software Reliability and Analysis Research (2 papers), VLSI and Analog Circuit Testing (2 papers), Radiation Effects in Electronics (2 papers), Advanced Malware Detection Techniques (2 papers) and Formal Methods in Verification (1 paper). The work is most often cited by research in Software (269 citations), Hardware and Architecture (64 citations), Information Systems (165 citations), Signal Processing (73 citations) and Computer Networks and Communications (52 citations). Andrei Lascu has collaborated with scholars based in United Kingdom and Switzerland. Frequent co-authors include Alastair F. Donaldson, Nathan Chong, Paul Thomson, Tobias Grosser, Torsten Hoefler and John Wickerson. Their work appears in journals such as Proceedings of the ACM on Programming Languages, ACM SIGPLAN Notices and Spiral (Imperial College London).
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.