William Andreopoulos
Impact in
- Signal Processing top 10%
- Advanced Malware Detection Techniques
Papers in
-
- Topic Modeling 3
- Adversarial Robustness in Machine Learning 2
- Advanced Graph Neural Networks 2
- Natural Language Processing Techniques 2
-
- Genomics and Phylogenetic Studies 3
- Co-authors
- Mark Stamp (1 shared paper)Asaf Levy (2 shared papers)Alexander Martin Geller (2 shared papers)Anna Lipzen (8 shared papers)Igor V. Grigoriev (8 shared papers)Kerrie Barry (4 shared papers)Alicia Clum (2 shared papers)Kurt LaButti (5 shared papers)
- Journals
- New Phytologist (2 papers)Journal of Computer Virology and Hacking Techniques (1 paper)Nature Communications (1 paper)Molecular Phylogenetics and Evolution (1 paper)Frontiers in Bioengineering and Biotechnology (1 paper)
- Partner nations
- United StatesChinaIsrael
In The Last Decade
William Andreopoulos
15 papers receiving 282 citations
Peers
Comparison fields: 5 of 58
- Signal Processing 56
- Endocrinology 19
- Pharmacology 49
- Molecular Medicine 13
- Plant Science 99
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
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 58 | |
| 2 | 2020 | 56 | |
| 3 | 2021 | 38 | |
| 4 | 2021 | 37 | |
| 5 | 2021 | 29 | |
| 6 | 2022 | 20 | |
| 7 | 2024 | 11 | |
| 8 | 2024 | 11 | |
| 9 | 2020 | 9 | |
| 10 | Clustering algorithms for categorical data | 2006 | 8 |
| 11 | 2024 | 6 | |
| 12 | 2023 | 2 | |
| 13 | 2025 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2024 | 0 | |
| 18 | 2025 | 0 | |
| 19 | 2024 | 0 | |
| 20 | 2024 | 0 |
About William Andreopoulos
William Andreopoulos is a scholar working on Artificial Intelligence, Molecular Biology, Pharmacology, Plant Science and Computer Vision and Pattern Recognition, having authored 24 papers that have together received 289 indexed citations. Recurring topics across this work include Mycorrhizal Fungi and Plant Interactions (5 papers), Fungal Biology and Applications (4 papers), Topic Modeling (3 papers), Genomics and Phylogenetic Studies (3 papers), Adversarial Robustness in Machine Learning (2 papers), Advanced Graph Neural Networks (2 papers), Natural Language Processing Techniques (2 papers) and Plant Pathogens and Fungal Diseases (2 papers). The work is most often cited by research in Signal Processing (56 citations), Endocrinology (19 citations), Pharmacology (49 citations), Molecular Medicine (13 citations) and Plant Science (99 citations). William Andreopoulos has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Mark Stamp, Asaf Levy, Alexander Martin Geller, Anna Lipzen, Igor V. Grigoriev, Kerrie Barry, Alicia Clum, Kurt LaButti, J. Balewski and Robert Riley. Their work appears in journals such as New Phytologist, Journal of Computer Virology and Hacking Techniques, Nature Communications, Molecular Phylogenetics and Evolution 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.