Aram Hovsepyan
- Information Systems top 2%
- Software top 2%
- Signal Processing top 5%
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Co-authors
- Wouter JoosenRiccardo ScandariatoJames WaldenDimitri Van LanduytKim WuytsStefan Van BaelenYolande BerbersSam Michiels
- Topics
- Advanced Malware Detection Techniques (6 papers)Software Reliability and Analysis Research (5 papers)Software Engineering Research (5 papers)
- Journals
- IEEE Transactions on Software EngineeringLirias (KU Leuven)RePEc: Research Papers in Economics
- Partner nations
- BelgiumUnited StatesItaly
In The Last Decade
Aram Hovsepyan
8 papers receiving 362 citations
Hit Papers
Peers
Comparison fields: 5 of 29
- Information Systems 326
- Software 210
- Signal Processing 198
- Computer Networks and Communications 71
- Artificial Intelligence 60
Countries citing papers authored by Aram Hovsepyan
This map shows the geographic impact of Aram Hovsepyan'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 Aram Hovsepyan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aram Hovsepyan more than expected).
Fields of papers citing papers by Aram Hovsepyan
This network shows the impact of papers produced by Aram Hovsepyan. 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 Aram Hovsepyan. The network helps show where Aram Hovsepyan may publish in the future.
Co-authorship network of co-authors of Aram Hovsepyan
This figure shows the co-authorship network connecting the top 25 collaborators of Aram Hovsepyan. A scholar is included among the top collaborators of Aram Hovsepyan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Aram Hovsepyan. Aram Hovsepyan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 12 | |
| 3 | Model-driven software development of safety-critical avionics systems: an experience report | 5 |
| 4 | 2 | |
| 5 | Predicting Vulnerable Software Components via Text Miningbreakdown → | 233 |
| 6 | 75 | |
| 7 | 2 | |
| 8 | 23 | |
| 9 | GReCCo: Composing generic reusable concerns | 0 |
| 10 | Composing application models and security models: On the value of aspect-oriented technologies | 0 |
About Aram Hovsepyan
Aram Hovsepyan is a scholar working on Software, Signal Processing and Information Systems, having authored 10 papers that have together received 376 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (6 papers), Software Reliability and Analysis Research (5 papers) and Software Engineering Research (5 papers). The work is most often cited by research in Software (210 citations), Signal Processing (198 citations) and Information Systems (326 citations). Aram Hovsepyan has collaborated with scholars based in Belgium, United States and Italy. Frequent co-authors include Wouter Joosen, Riccardo Scandariato, James Walden, Dimitri Van Landuyt, Kim Wuyts, Stefan Van Baelen, Yolande Berbers, Sam Michiels, Koen Yskout and Serge Demeyer. Their work appears in journals such as IEEE Transactions on Software Engineering, Lirias (KU Leuven) and RePEc: Research Papers in Economics.
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.