Vassilios Tzerpos
- Software top 1%
- Software Reliability and Analysis Research 8
- Information Systems top 0.5%
- Software Engineering Research 31
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- Software System Performance and Reliability 18
- Artificial Intelligence top 2%
- Advanced Software Engineering Methodologies 19
- Advanced Clustering Algorithms Research 5
- Internet Traffic Analysis and Secure E-voting 3
- Signal Processing top 5%
- Music and Audio Processing 4
- Speech and Audio Processing 3
- Co-authors
- Richard C. HoltPeriklis AndritsosZhihua WenMark ShternWei WangXiaogang WangAijun AnMichael Smit
- Journals
- IEEE Transactions on Software Engineering (1 paper)Information and Software Technology (1 paper)Software Practice and Experience (1 paper)
- Partner nations
- CanadaUnited States
In The Last Decade
Vassilios Tzerpos
39 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 37
- Software 340
- Information Systems 1.1k
- Computer Networks and Communications 643
- Artificial Intelligence 774
- Signal Processing 158
Countries citing papers authored by Vassilios Tzerpos
This map shows the geographic impact of Vassilios Tzerpos'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 Vassilios Tzerpos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vassilios Tzerpos more than expected).
Fields of papers citing papers by Vassilios Tzerpos
This network shows the impact of papers produced by Vassilios Tzerpos. 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 Vassilios Tzerpos. The network helps show where Vassilios Tzerpos may publish in the future.
Co-authorship network
The 14 scholars most cited alongside Vassilios Tzerpos, 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 | Evaluating music mastering quality using machine learning. | 2018 | 1 |
| 2 | Transfer learning in neural networks: an experience report | 2017 | 2 |
| 3 | 2015 | 3 | |
| 4 | 2015 | 8 | |
| 5 | 2014 | 8 | |
| 6 | 2012 | 17 | |
| 7 | 2011 | 4 | |
| 8 | 2010 | 13 | |
| 9 | 2009 | 15 | |
| 10 | 2007 | 14 | |
| 11 | 2005 | 46 | |
| 12 | 2005 | 177 | |
| 13 | 2004 | 110 | |
| 14 | 2004 | 38 | |
| 15 | 2002 | 41 | |
| 16 | 2002 | 15 | |
| 17 | 2002 | 45 | |
| 18 | A hybrid process for recovering software architecture | 1996 | 19 |
| 19 | BIVTECI: a bibliographic visualization tool | 1996 | 8 |
| 20 | Automatic source-file dependency structure extraction for C programs | 1994 | 1 |
About Vassilios Tzerpos
Vassilios Tzerpos is a scholar working on Software, Information Systems and Artificial Intelligence, having authored 40 papers that have together received 1.3k indexed citations. Recurring topics across this work include Software Engineering Research (31 papers), Advanced Software Engineering Methodologies (19 papers), Software System Performance and Reliability (18 papers), Software Reliability and Analysis Research (8 papers), Advanced Clustering Algorithms Research (5 papers), Music and Audio Processing (4 papers), Speech and Audio Processing (3 papers) and Internet Traffic Analysis and Secure E-voting (3 papers). The work is most often cited by research in Software (340 citations), Information Systems (1.1k citations) and Computer Networks and Communications (643 citations). Vassilios Tzerpos has collaborated with scholars based in Canada and United States. Frequent co-authors include Richard C. Holt, Periklis Andritsos, Zhihua Wen, Mark Shtern, Wei Wang, Xiaogang Wang, Aijun An, Michael Smit, Cornel Barna and Marin Litoiu. Their work appears in journals such as IEEE Transactions on Software Engineering, Information and Software Technology and Software Practice and Experience.
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.