Abolfazl Asudeh
- Health Informatics top 5%
- Safety Research top 5%
- Ethics and Social Impacts of AI 7
- Artificial Intelligence top 5%
- Data Stream Mining Techniques 9
- Explainable Artificial Intelligence (XAI) 7
- Privacy-Preserving Technologies in Data 6
- Machine Learning and Data Classification 5
- Signal Processing top 5%
- Data Management and Algorithms 17
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- Data Quality and Management 9
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- Advanced Database Systems and Queries 5
- Co-authors
- H. V. JagadishJulia StoyanovichGautam DasFatemeh NargesianGerome MiklauBill HoweSaravanan ThirumuruganathanKe Yang
- Journals
- Expert Systems with Applications (1 paper)ACM Computing Surveys (1 paper)Proceedings of the VLDB Endowment (16 papers)
- Partner nations
- United StatesCanadaIran
In The Last Decade
Abolfazl Asudeh
46 papers receiving 501 citations
Peers
Comparison fields: 5 of 71
- Health Informatics 28
- Safety Research 121
- Computer Science Applications 58
- Artificial Intelligence 330
- Signal Processing 105
Countries citing papers authored by Abolfazl Asudeh
This map shows the geographic impact of Abolfazl Asudeh'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 Abolfazl Asudeh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abolfazl Asudeh more than expected).
Fields of papers citing papers by Abolfazl Asudeh
This network shows the impact of papers produced by Abolfazl Asudeh. 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 Abolfazl Asudeh. The network helps show where Abolfazl Asudeh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Abolfazl Asudeh, 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 | 2025 | 1 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2022 | 14 | |
| 8 | 2021 | 18 | |
| 9 | 2021 | 24 | |
| 10 | 2020 | 18 | |
| 11 | 2019 | 3 | |
| 12 | 2019 | 0 | |
| 13 | 2018 | 2 | |
| 14 | 2018 | 5 | |
| 15 | 2018 | 21 | |
| 16 | 2018 | 5 | |
| 17 | 2017 | 21 | |
| 18 | 2017 | 4 | |
| 19 | 2017 | 5 | |
| 20 | 2016 | 8 |
About Abolfazl Asudeh
Abolfazl Asudeh is a scholar working on Signal Processing, Artificial Intelligence and Computer Science Applications, having authored 51 papers that have together received 522 indexed citations. Recurring topics across this work include Data Management and Algorithms (17 papers), Data Stream Mining Techniques (9 papers), Data Quality and Management (9 papers), Explainable Artificial Intelligence (XAI) (7 papers), Ethics and Social Impacts of AI (7 papers), Privacy-Preserving Technologies in Data (6 papers), Advanced Database Systems and Queries (5 papers) and Machine Learning and Data Classification (5 papers). The work is most often cited by research in Health Informatics (28 citations), Safety Research (121 citations) and Computer Science Applications (58 citations). Abolfazl Asudeh has collaborated with scholars based in United States, Canada and Iran. Frequent co-authors include H. V. Jagadish, H. V. Jagadish, Julia Stoyanovich, Gautam Das, Fatemeh Nargesian, Gerome Miklau, Bill Howe, Saravanan Thirumuruganathan, Ke Yang and Gergely Záruba. Their work appears in journals such as Expert Systems with Applications, ACM Computing Surveys and Proceedings of the VLDB Endowment.
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.