Ivan Pashchenko
Impact in
- Software top 5%
- Software Reliability and Analysis Research
- Software Testing and Debugging Techniques
- Signal Processing top 5%
- Advanced Malware Detection Techniques
Papers in
-
- Software Engineering Research 15
- Software Engineering Techniques and Practices 5
- Information and Cyber Security 2
- Software 8
- Software Reliability and Analysis Research 6
- Software Testing and Debugging Techniques 5
- Co-authors
- Fabio Massacci (14 shared papers)Duc‐Ly Vu (7 shared papers)Antonino Sabetta (7 shared papers)Henrik Plate (6 shared papers)Serena Elisa Ponta (3 shared papers)Eric Bodden (1 shared paper)Ben Hermann (1 shared paper)Riccardo Scandariato (1 shared paper)
- Journals
- IEEE Security & Privacy (3 papers)IEEE Transactions on Software Engineering (1 paper)Empirical Software Engineering (1 paper)Zenodo (CERN European Organization for Nuclear Research) (1 paper)Iris (University of Trento) (2 papers)
- Partner nations
- ItalyNetherlandsGermany
In The Last Decade
Ivan Pashchenko
17 papers receiving 319 citations
Peers
Comparison fields: 5 of 27
- Software 113
- Signal Processing 164
- Information Systems 271
- Computer Science Applications 26
- Computer Networks and Communications 102
Countries citing papers authored by Ivan Pashchenko
This map shows the geographic impact of Ivan Pashchenko'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 Ivan Pashchenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Pashchenko more than expected).
Fields of papers citing papers by Ivan Pashchenko
This network shows the impact of papers produced by Ivan Pashchenko. 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 Ivan Pashchenko. The network helps show where Ivan Pashchenko may publish in the future.
Co-authors
The 11 scholars most cited alongside Ivan Pashchenko, 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 | 2018 | 62 | |
| 2 | 2020 | 60 | |
| 3 | 2020 | 37 | |
| 4 | 2020 | 32 | |
| 5 | 2020 | 30 | |
| 6 | 2021 | 30 | |
| 7 | 2021 | 21 | |
| 8 | 2017 | 13 | |
| 9 | 2022 | 12 | |
| 10 | 2024 | 6 | |
| 11 | 2022 | 6 | |
| 12 | 2021 | 5 | |
| 13 | 2021 | 4 | |
| 14 | 2017 | 3 | |
| 15 | 2021 | 2 | |
| 16 | 2021 | 1 | |
| 17 | 2020 | 1 |
About Ivan Pashchenko
Ivan Pashchenko is a scholar working on Information Systems, Software, Signal Processing, Computer Networks and Communications and Information Systems and Management, having authored 17 papers that have together received 325 indexed citations. Recurring topics across this work include Software Engineering Research (15 papers), Advanced Malware Detection Techniques (7 papers), Software Reliability and Analysis Research (6 papers), Software Engineering Techniques and Practices (5 papers), Software Testing and Debugging Techniques (5 papers), Scientific Computing and Data Management (2 papers), Software System Performance and Reliability (2 papers) and Information and Cyber Security (2 papers). The work is most often cited by research in Software (113 citations), Signal Processing (164 citations), Information Systems (271 citations), Computer Science Applications (26 citations) and Computer Networks and Communications (102 citations). Ivan Pashchenko has collaborated with scholars based in Italy, Netherlands and Germany. Frequent co-authors include Fabio Massacci, Duc‐Ly Vu, Antonino Sabetta, Henrik Plate, Serena Elisa Ponta, Eric Bodden, Ben Hermann, Riccardo Scandariato, Péter Hegedűs and Michele Bezzi. Their work appears in journals such as IEEE Security & Privacy, IEEE Transactions on Software Engineering, Empirical Software Engineering, Zenodo (CERN European Organization for Nuclear Research) and Iris (University of Trento).
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.