Bill Andreopoulos
Impact in
- Ecology top 10%
- Bacteriophages and microbial interactions
- Microbial Community Ecology and Physiology
-
- Genomics and Phylogenetic Studies
- Bioinformatics and Genomic Networks
- Biomedical Text Mining and Ontologies
Papers in
-
- Bioinformatics and Genomic Networks 7
- Gene expression and cancer classification 5
- Genomics and Phylogenetic Studies 3
- Biomedical Text Mining and Ontologies 3
-
- Advanced Clustering Algorithms Research 6
- Co-authors
- Michael Schroeder (6 shared papers)Aijun An (7 shared papers)Xiaogang Wang (7 shared papers)Löıc A. Royer (2 shared papers)Cristina Howard‐Varona (1 shared paper)Subhadeep Paul (1 shared paper)Ahmed A. Zayed (1 shared paper)Ho Bin Jang (1 shared paper)
- Journals
- BMC Bioinformatics (2 papers)Bioinformatics (1 paper)PLoS Computational Biology (1 paper)Algorithms for Molecular Biology (1 paper)Journal of Biomedical Informatics (1 paper)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Bill Andreopoulos
22 papers receiving 676 citations
Peers
Comparison fields: 5 of 91
- Ecology 199
- Molecular Biology 365
- Pollution 46
- Artificial Intelligence 134
- Endocrinology 18
Countries citing papers authored by Bill Andreopoulos
This map shows the geographic impact of Bill 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 Bill Andreopoulos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bill Andreopoulos more than expected).
Fields of papers citing papers by Bill Andreopoulos
This network shows the impact of papers produced by Bill 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 Bill Andreopoulos. The network helps show where Bill Andreopoulos may publish in the future.
Co-authors
The 25 scholars most cited alongside Bill 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 153 | |
| 2 | 2008 | 94 | |
| 3 | 2018 | 85 | |
| 4 | 2016 | 76 | |
| 5 | 2019 | 56 | |
| 6 | 2009 | 29 | |
| 7 | 2006 | 28 | |
| 8 | 2007 | 26 | |
| 9 | 2012 | 19 | |
| 10 | 2006 | 18 | |
| 11 | 2007 | 17 | |
| 12 | 2008 | 17 | |
| 13 | 2019 | 16 | |
| 14 | 2008 | 16 | |
| 15 | 2011 | 10 | |
| 16 | 2004 | 8 | |
| 17 | 2008 | 6 | |
| 18 | 2006 | 6 | |
| 19 | 2005 | 5 | |
| 20 | 2009 | 5 |
About Bill Andreopoulos
Bill Andreopoulos is a scholar working on Molecular Biology, Artificial Intelligence, Plant Science, Information Systems and Ecology, having authored 23 papers that have together received 693 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (7 papers), Advanced Clustering Algorithms Research (6 papers), Gene expression and cancer classification (5 papers), Genomics and Phylogenetic Studies (3 papers), Biomedical Text Mining and Ontologies (3 papers), Software System Performance and Reliability (2 papers), Mycorrhizal Fungi and Plant Interactions (2 papers) and Software Engineering Research (2 papers). The work is most often cited by research in Ecology (199 citations), Molecular Biology (365 citations), Pollution (46 citations), Artificial Intelligence (134 citations) and Endocrinology (18 citations). Bill Andreopoulos has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Michael Schroeder, Aijun An, Xiaogang Wang, Löıc A. Royer, Cristina Howard‐Varona, Subhadeep Paul, Ahmed A. Zayed, Ho Bin Jang, Matthew B. Sullivan and Heather M. Brewer. Their work appears in journals such as BMC Bioinformatics, Bioinformatics, PLoS Computational Biology, Algorithms for Molecular Biology and Journal of Biomedical Informatics.
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.