William Andreopoulos
Impact in
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- Advanced Malware Detection Techniques
Papers in ⓘ
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- Fungal Biology and Applications 3
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- Topic Modeling 3
- Natural Language Processing Techniques 2
- Adversarial Robustness in Machine Learning 2
- Co-authors
- Mark Stamp (1 shared paper)Asaf Levy (2 shared papers)Alexander Martin Geller (2 shared papers)Igor V. Grigoriev (7 shared papers)Alicia Clum (2 shared papers)Anna Lipzen (7 shared papers)Kerrie Barry (4 shared papers)Natalia Ivanova (1 shared paper)
- Journals
- New Phytologist (2 papers)iScience (1 paper)Journal of Computer Virology and Hacking Techniques (1 paper)Nature Communications (1 paper)Frontiers in Bioengineering and Biotechnology (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
William Andreopoulos
12 papers receiving 231 citations
Peers
Comparison fields: 5 of 53
- Signal Processing 40
- Endocrinology 17
- Pharmacology 45
- Plant Science 96
- Molecular Medicine 12
Countries citing papers authored by William Andreopoulos
This map shows the geographic impact of William Andreopoulos'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 William Andreopoulos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Andreopoulos more than expected).
Fields of papers citing papers by William Andreopoulos
This network shows the impact of papers produced by William Andreopoulos. 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 William Andreopoulos. The network helps show where William Andreopoulos may publish in the future.
Co-authors
The 25 scholars most cited alongside William Andreopoulos, 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 | 2020 | 52 | |
| 2 | 2020 | 47 | |
| 3 | 2021 | 33 | |
| 4 | 2021 | 33 | |
| 5 | 2021 | 27 | |
| 6 | 2022 | 18 | |
| 7 | 2024 | 7 | |
| 8 | 2024 | 7 | |
| 9 | Clustering algorithms for categorical data | 2006 | 6 |
| 10 | 2024 | 5 | |
| 11 | 2025 | 1 | |
| 12 | 2024 | 1 | |
| 13 | 2024 | 1 | |
| 14 | 2023 | 1 | |
| 15 | 2024 | 0 | |
| 16 | 2025 | 0 | |
| 17 | 2024 | 0 | |
| 18 | 2024 | 0 |
About William Andreopoulos
William Andreopoulos is a scholar working on Pharmacology, Artificial Intelligence, Molecular Medicine, Endocrinology and Transportation, having authored 18 papers that have together received 239 indexed citations. Recurring topics across this work include Mycorrhizal Fungi and Plant Interactions (4 papers), Fungal Biology and Applications (3 papers), Topic Modeling (3 papers), Natural Language Processing Techniques (2 papers), Genomics and Phylogenetic Studies (2 papers), Fungal and yeast genetics research (2 papers), Adversarial Robustness in Machine Learning (2 papers) and Plant Pathogens and Fungal Diseases (1 paper). The work is most often cited by research in Signal Processing (40 citations), Endocrinology (17 citations), Pharmacology (45 citations), Plant Science (96 citations) and Molecular Medicine (12 citations). William Andreopoulos has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Mark Stamp, Asaf Levy, Alexander Martin Geller, Igor V. Grigoriev, Alicia Clum, Anna Lipzen, Kerrie Barry, Natalia Ivanova, Robert Riley and J. Balewski. Their work appears in journals such as New Phytologist, iScience, Journal of Computer Virology and Hacking Techniques, Nature Communications and Frontiers in Bioengineering and Biotechnology.
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.