Abbas Heydarnoori
- Information Systems top 1%
- Computer Networks and Communications top 2%
- Artificial Intelligence top 5%
- Software top 5%
- Computer Science Applications top 10%
- Co-authors
- Pooyan JamshidiMaliheh IzadiTheo LynnDamian A. TamburriFarhad MavaddatWalter BinderMohammad GhafariFarhad Arbab
- Topics
- Software Engineering Research (27 papers)Software System Performance and Reliability (18 papers)Advanced Software Engineering Methodologies (10 papers)
- Partner nations
- IranCanadaUnited States
In The Last Decade
Abbas Heydarnoori
40 papers receiving 669 citations
Hit Papers
Peers
Comparison fields: 5 of 56
- Information Systems 501
- Computer Networks and Communications 497
- Artificial Intelligence 223
- Software 64
- Computer Science Applications 35
Countries citing papers authored by Abbas Heydarnoori
This map shows the geographic impact of Abbas Heydarnoori'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 Abbas Heydarnoori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abbas Heydarnoori more than expected).
Fields of papers citing papers by Abbas Heydarnoori
This network shows the impact of papers produced by Abbas Heydarnoori. 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 Abbas Heydarnoori. The network helps show where Abbas Heydarnoori may publish in the future.
Co-authorship network of co-authors of Abbas Heydarnoori
This figure shows the co-authorship network connecting the top 25 collaborators of Abbas Heydarnoori. A scholar is included among the top collaborators of Abbas Heydarnoori 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 Abbas Heydarnoori. Abbas Heydarnoori is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 8 | |
| 10 | 3 | |
| 11 | 42 | |
| 12 | 10 | |
| 13 | 6 | |
| 14 | Towards a Tactic-Based Evaluation of Self-Adaptive Software Architecture Availability. | 3 |
| 15 | 1 | |
| 16 | 9 | |
| 17 | 3 | |
| 18 | 10 | |
| 19 | 8 | |
| 20 | 12 |
About Abbas Heydarnoori
Abbas Heydarnoori is a scholar working on Software, Information Systems and Computer Networks and Communications, having authored 43 papers that have together received 699 indexed citations. Recurring topics across this work include Software Engineering Research (27 papers), Software System Performance and Reliability (18 papers) and Advanced Software Engineering Methodologies (10 papers). The work is most often cited by research in Information Systems (501 citations), Computer Networks and Communications (497 citations) and Software (64 citations). Abbas Heydarnoori has collaborated with scholars based in Iran, Canada and United States. Frequent co-authors include Pooyan Jamshidi, Maliheh Izadi, Theo Lynn, Damian A. Tamburri, Farhad Mavaddat, Walter Binder, Mohammad Ghafari, Farhad Arbab, Baishakhi Ray and Krzysztof Czarnecki. Their work appears in journals such as IEEE Transactions on Software Engineering, IEEE Software and Journal of Systems and 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.