Alireza Tamaddoni‐Nezhad
Impact in
- Ecological Modeling top 10%
- Artificial Intelligence top 5%
- Logic, Reasoning, and Knowledge
- Machine Learning and Algorithms
- Explainable Artificial Intelligence (XAI)
- Bayesian Modeling and Causal Inference
- Semantic Web and Ontologies
Papers in
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- Logic, Reasoning, and Knowledge 4
- Adversarial Robustness in Machine Learning 3
- Machine Learning and Algorithms 3
- Evolutionary Algorithms and Applications 2
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- Bioinformatics and Genomic Networks 3
- Microbial Metabolic Engineering and Bioproduction 3
- Co-authors
- Stephen Muggleton (15 shared papers)Dianhuan Lin (2 shared papers)Alan Raybould (3 shared papers)David A. Bohan (3 shared papers)Guy Woodward (2 shared papers)Corinne Vacher (1 shared paper)Alex J. Dumbrell (1 shared paper)Antonis Kakas (3 shared papers)
- Journals
- Machine Learning (7 papers)Biochemical Society Transactions (1 paper)Journal of Air Transport Management (1 paper)Nature Ecology & Evolution (1 paper)PLoS ONE (1 paper)
- Partner nations
- United KingdomSwitzerlandCyprus
In The Last Decade
Alireza Tamaddoni‐Nezhad
22 papers receiving 480 citations
Peers
Comparison fields: 5 of 75
- Ecological Modeling 40
- Artificial Intelligence 247
- Ecology 119
- Computational Theory and Mathematics 52
- Nature and Landscape Conservation 38
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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 119 | |
| 2 | 2015 | 79 | |
| 3 | 2018 | 56 | |
| 4 | 2013 | 55 | |
| 5 | 2006 | 42 | |
| 6 | 2011 | 35 | |
| 7 | 2018 | 21 | |
| 8 | 2012 | 16 | |
| 9 | 2018 | 16 | |
| 10 | 2007 | 12 | |
| 11 | 2009 | 11 | |
| 12 | 2010 | 9 | |
| 13 | 2007 | 8 | |
| 14 | 2022 | 4 | |
| 15 | 2006 | 3 | |
| 16 | 2012 | 2 | |
| 17 | Proceedings of the 21st international conference on Inductive Logic Programming | 2011 | 2 |
| 18 | Using Genetic Algorithms for learning clauses in first-order logic | 2001 | 2 |
| 19 | 2023 | 2 | |
| 20 | 2022 | 2 |
About Alireza Tamaddoni‐Nezhad
Alireza Tamaddoni‐Nezhad is a scholar working on Artificial Intelligence, Molecular Biology, Computational Theory and Mathematics, Ecology, Evolution, Behavior and Systematics and Computer Vision and Pattern Recognition, having authored 24 papers that have together received 498 indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (4 papers), Adversarial Robustness in Machine Learning (3 papers), Machine Learning and Algorithms (3 papers), Bioinformatics and Genomic Networks (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Vibrio bacteria research studies (2 papers), Evolutionary Algorithms and Applications (2 papers) and Salmonella and Campylobacter epidemiology (2 papers). The work is most often cited by research in Ecological Modeling (40 citations), Artificial Intelligence (247 citations), Ecology (119 citations), Computational Theory and Mathematics (52 citations) and Nature and Landscape Conservation (38 citations). Alireza Tamaddoni‐Nezhad has collaborated with scholars based in United Kingdom, Switzerland and Cyprus. Frequent co-authors include Stephen Muggleton, Dianhuan Lin, Alan Raybould, David A. Bohan, Guy Woodward, Corinne Vacher, Alex J. Dumbrell, Antonis Kakas, Raphaël A. G. Chaleil and Tarek R. Besold. Their work appears in journals such as Machine Learning, Biochemical Society Transactions, Journal of Air Transport Management, Nature Ecology & Evolution and PLoS ONE.
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.