Audris Mockus
Impact in
- Software top 0.05%
- Software Reliability and Analysis Research
- Software Testing and Debugging Techniques
- Computer Science Applications top 0.01%
- Open Source Software Innovations
Papers in
- Software 41
- Software Reliability and Analysis Research 36
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- Open Source Software Innovations 51
- Co-authors
- James D. HerbslebRoy T. FieldingMinghui ZhouDavid M. WeissThomas A. FinholtRebecca E. GrinterTodd GravesLawrence G. Votta
- Journals
- IEEE Transactions on Software Engineering (13 papers)Empirical Software Engineering (8 papers)Journal of Computational and Graphical Statistics (5 papers)Journal of Global Optimization (5 papers)IEEE Software (4 papers)
- Partner nations
- United StatesBermudaLithuania
In The Last Decade
Audris Mockus
170 papers receiving 8.7k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Software 2.5k
- Computer Science Applications 3.3k
- Information Systems 6.9k
- Communication 1.1k
- Computer Networks and Communications 1.5k
Countries citing papers authored by Audris Mockus
This map shows the geographic impact of Audris Mockus'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 Audris Mockus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Audris Mockus more than expected).
Fields of papers citing papers by Audris Mockus
This network shows the impact of papers produced by Audris Mockus. 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 Audris Mockus. The network helps show where Audris Mockus may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Audris Mockus, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 8 | |
| 6 | 2022 | 5 | |
| 7 | 2020 | 3 | |
| 8 | 2019 | 39 | |
| 9 | 2015 | 87 | |
| 10 | 2013 | 39 | |
| 11 | 2012 | 84 | |
| 12 | 2012 | 22 | |
| 13 | 2009 | 71 | |
| 14 | 2008 | 5 | |
| 15 | 2007 | 88 | |
| 16 | 2006 | 12 | |
| 17 | 2005 | 1 | |
| 18 | Shared Mental Models, Familiarity and Coordination: A Multi-Method Study of Distributed Software Teams | 2002 | 88 |
| 19 | Identifying Reasons for Software Changes Using Historic Databases | 2000 | 247 |
| 20 | On Bayesian Methods for Seeking the Extremum and their Application. | 1977 | 20 |
About Audris Mockus
Audris Mockus is a scholar working on Software, Computer Science Applications, Information Systems, Information Systems and Management and Communication, having authored 184 papers that have together received 9.4k indexed citations. Recurring topics across this work include Software Engineering Research (100 papers), Open Source Software Innovations (51 papers), Software Engineering Techniques and Practices (49 papers), Software Reliability and Analysis Research (36 papers), Software System Performance and Reliability (21 papers), Scientific Computing and Data Management (14 papers), Advanced Multi-Objective Optimization Algorithms (12 papers) and Complex Systems and Time Series Analysis (10 papers). The work is most often cited by research in Software (2.5k citations), Computer Science Applications (3.3k citations), Information Systems (6.9k citations), Communication (1.1k citations) and Computer Networks and Communications (1.5k citations). Audris Mockus has collaborated with scholars based in United States, Bermuda and Lithuania. Frequent co-authors include James D. Herbsleb, Roy T. Fielding, Minghui Zhou, David M. Weiss, Thomas A. Finholt, Rebecca E. Grinter, Todd Graves, Lawrence G. Votta, C. G. E. Boender and Ahmed E. Hassan. Their work appears in journals such as IEEE Transactions on Software Engineering, Empirical Software Engineering, Journal of Computational and Graphical Statistics, Journal of Global Optimization and IEEE Software.
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.