Amir Aryani
- Information Systems top 5%
- Artificial Intelligence
- Software top 5%
- Computer Networks and Communications top 10%
- Information Systems and Management top 10%
- Co-authors
- Oscar NierstraszMircea LunguAbdun Naser MahmoodIan PeakeMargaret HamiltonBen EvansHylke KoersUwe Schindler
- Topics
- Semantic Web and Ontologies (9 papers)Scientific Computing and Data Management (9 papers)Software Reliability and Analysis Research (6 papers)
- Journals
- Expert Systems with ApplicationsComprehensive PsychiatryAustralian & New Zealand Journal of Psychiatry
- Partner nations
- AustraliaSwitzerlandNew Zealand
In The Last Decade
Amir Aryani
31 papers receiving 255 citations
Peers
Comparison fields: 5 of 77
- Information Systems 173
- Artificial Intelligence 78
- Software 69
- Computer Networks and Communications 63
- Information Systems and Management 57
Countries citing papers authored by Amir Aryani
This map shows the geographic impact of Amir Aryani'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 Amir Aryani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amir Aryani more than expected).
Fields of papers citing papers by Amir Aryani
This network shows the impact of papers produced by Amir Aryani. 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 Amir Aryani. The network helps show where Amir Aryani may publish in the future.
Co-authorship network of co-authors of Amir Aryani
This figure shows the co-authorship network connecting the top 25 collaborators of Amir Aryani. A scholar is included among the top collaborators of Amir Aryani 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 Amir Aryani. Amir Aryani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 29 | |
| 8 | 8 | |
| 9 | 1 | |
| 10 | 5 | |
| 11 | 35 | |
| 12 | 6 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 2 | |
| 19 | 4 | |
| 20 | Proceedings of the 18th Working Conference on Reverse Engineering (WCRE) | 84 |
About Amir Aryani
Amir Aryani is a scholar working on Software, Information Systems and Management and Information Systems, having authored 33 papers that have together received 267 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (9 papers), Scientific Computing and Data Management (9 papers) and Software Reliability and Analysis Research (6 papers). The work is most often cited by research in Software (69 citations), Information Systems and Management (57 citations) and Information Systems (173 citations). Amir Aryani has collaborated with scholars based in Australia, Switzerland and New Zealand. Frequent co-authors include Oscar Nierstrasz, Mircea Lungu, Abdun Naser Mahmood, Ian Peake, Margaret Hamilton, Ben Evans, Hylke Koers, Uwe Schindler, Michael Diepenbroek and Jingbo Wang. Their work appears in journals such as Expert Systems with Applications, Comprehensive Psychiatry and Australian & New Zealand Journal of Psychiatry.
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.