Alireza Tamaddoni‐Nezhad
Impact in
- Ecological Modeling top 5%
- Species Distribution and Climate Change
- Artificial Intelligence top 5%
- Logic, Reasoning, and Knowledge
- Machine Learning and Algorithms
- Semantic Web and Ontologies
- Natural Language Processing Techniques
Papers in
-
- Logic, Reasoning, and Knowledge 10
- Machine Learning and Algorithms 7
- Natural Language Processing Techniques 5
- Evolutionary Algorithms and Applications 5
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- Bioinformatics and Genomic Networks 5
- Microbial Metabolic Engineering and Bioproduction 5
- Co-authors
- Stephen Muggleton (37 shared papers)Dianhuan Lin (4 shared papers)David A. Bohan (12 shared papers)Alan Raybould (8 shared papers)Guy Woodward (3 shared papers)Corinne Vacher (4 shared papers)Antonis Kakas (4 shared papers)Alex J. Dumbrell (1 shared paper)
- Journals
- Machine Learning (7 papers)Advances in ecological research (4 papers)Lecture notes in computer science (22 papers)Journal of Air Transport Management (1 paper)Journal of Molecular Biology (1 paper)
- Partner nations
- United KingdomFranceSwitzerland
In The Last Decade
Alireza Tamaddoni‐Nezhad
49 papers receiving 991 citations
Peers
Comparison fields: 5 of 102
- Ecological Modeling 116
- Artificial Intelligence 486
- Ecology 217
- Ecology, Evolution, Behavior and Systematics 151
- Nature and Landscape Conservation 85
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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 139 | |
| 2 | 2015 | 111 | |
| 3 | 2013 | 79 | |
| 4 | 2016 | 73 | |
| 5 | 2018 | 67 | |
| 6 | 2006 | 66 | |
| 7 | 2013 | 57 | |
| 8 | 2011 | 49 | |
| 9 | 2013 | 36 | |
| 10 | 2018 | 25 | |
| 11 | 2008 | 22 | |
| 12 | 2010 | 21 | |
| 13 | 2007 | 20 | |
| 14 | 2012 | 20 | |
| 15 | 2018 | 18 | |
| 16 | 2017 | 17 | |
| 17 | 2016 | 17 | |
| 18 | 2004 | 17 | |
| 19 | 2009 | 16 | |
| 20 | 2000 | 15 |
About Alireza Tamaddoni‐Nezhad
Alireza Tamaddoni‐Nezhad is a scholar working on Artificial Intelligence, Molecular Biology, Ecological Modeling, Ecology, Evolution, Behavior and Systematics and Computational Theory and Mathematics, having authored 52 papers that have together received 1.0k indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (10 papers), Species Distribution and Climate Change (7 papers), Machine Learning and Algorithms (7 papers), Plant and animal studies (6 papers), Natural Language Processing Techniques (5 papers), Evolutionary Algorithms and Applications (5 papers), Bioinformatics and Genomic Networks (5 papers) and Microbial Metabolic Engineering and Bioproduction (5 papers). The work is most often cited by research in Ecological Modeling (116 citations), Artificial Intelligence (486 citations), Ecology (217 citations), Ecology, Evolution, Behavior and Systematics (151 citations) and Nature and Landscape Conservation (85 citations). Alireza Tamaddoni‐Nezhad has collaborated with scholars based in United Kingdom, France and Switzerland. Frequent co-authors include Stephen Muggleton, Dianhuan Lin, David A. Bohan, Alan Raybould, Guy Woodward, Corinne Vacher, Antonis Kakas, Alex J. Dumbrell, Raphaël A. G. Chaleil and Ute Schmid. Their work appears in journals such as Machine Learning, Advances in ecological research, Lecture notes in computer science, Journal of Air Transport Management and Journal of Molecular Biology.
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.