Alireza Tamaddoni‐Nezhad
Impact in
- Artificial Intelligence top 2%
- Logic, Reasoning, and Knowledge
- AI-based Problem Solving and Planning
- Explainable Artificial Intelligence (XAI)
- Bayesian Modeling and Causal Inference
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- Ecology and Vegetation Dynamics Studies
Papers in
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- Logic, Reasoning, and Knowledge 28
- AI-based Problem Solving and Planning 10
- Evolutionary Algorithms and Applications 6
- Bayesian Modeling and Causal Inference 5
- Domain Adaptation and Few-Shot Learning 4
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- Data Mining Algorithms and Applications 18
- Co-authors
- Stephen Muggleton (39 shared papers)David Andrew Bohan (14 shared papers)Dianhuan Lin (4 shared papers)Alan F. Raybould (9 shared papers)Guy Woodward (3 shared papers)Corinne Vacher (4 shared papers)Alex J. Dumbrell (1 shared paper)Antonis C. Kakas (4 shared papers)
- Journals
- Machine Learning (7 papers)Advances in ecological research (5 papers)Lecture notes in computer science (22 papers)Journal of Air Transport Management (1 paper)Nature Ecology & Evolution (1 paper)
- Partner nations
- United KingdomFranceSwitzerland
In The Last Decade
Alireza Tamaddoni‐Nezhad
57 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 80
- Artificial Intelligence 584
- Nature and Landscape Conservation 141
- Ecology 265
- Information Systems 199
- Insect Science 55
Countries citing papers authored by Alireza Tamaddoni‐Nezhad
This map shows the geographic impact of Alireza Tamaddoni‐Nezhad'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 Alireza Tamaddoni‐Nezhad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alireza Tamaddoni‐Nezhad more than expected).
Fields of papers citing papers by Alireza Tamaddoni‐Nezhad
This network shows the impact of papers produced by Alireza Tamaddoni‐Nezhad. 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 Alireza Tamaddoni‐Nezhad. The network helps show where Alireza Tamaddoni‐Nezhad may publish in the future.
Co-authors
The 25 scholars most cited alongside Alireza Tamaddoni‐Nezhad, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 156 | |
| 2 | 2015 | 125 | |
| 3 | 2013 | 97 | |
| 4 | 2016 | 79 | |
| 5 | 2018 | 78 | |
| 6 | 2020 | 72 | |
| 7 | 2006 | 66 | |
| 8 | 2011 | 61 | |
| 9 | 2013 | 60 | |
| 10 | 2016 | 53 | |
| 11 | 2013 | 40 | |
| 12 | 2018 | 31 | |
| 13 | 2008 | 26 | |
| 14 | 2010 | 26 | |
| 15 | 2016 | 23 | |
| 16 | 2007 | 22 | |
| 17 | 2018 | 21 | |
| 18 | 2012 | 20 | |
| 19 | 2004 | 18 | |
| 20 | 2009 | 18 |
About Alireza Tamaddoni‐Nezhad
Alireza Tamaddoni‐Nezhad is a scholar working on Artificial Intelligence, Information Systems, Nature and Landscape Conservation, Ecology and Molecular Biology, having authored 58 papers that have together received 1.3k indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (28 papers), Data Mining Algorithms and Applications (18 papers), AI-based Problem Solving and Planning (10 papers), Evolutionary Algorithms and Applications (6 papers), Gene Regulatory Network Analysis (5 papers), Bayesian Modeling and Causal Inference (5 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Ecology and Vegetation Dynamics Studies (4 papers). The work is most often cited by research in Artificial Intelligence (584 citations), Nature and Landscape Conservation (141 citations), Ecology (265 citations), Information Systems (199 citations) and Insect Science (55 citations). Alireza Tamaddoni‐Nezhad has collaborated with scholars based in United Kingdom, France and Switzerland. Frequent co-authors include Stephen Muggleton, David Andrew Bohan, Dianhuan Lin, Alan F. Raybould, Guy Woodward, Corinne Vacher, Alex J. Dumbrell, Antonis C. Kakas, Raphaël A. G. Chaleil and Tarek R. Besold. Their work appears in journals such as Machine Learning, Advances in ecological research, Lecture notes in computer science, Journal of Air Transport Management and Nature Ecology & Evolution.
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.