Nicos Angelopoulos
- Microbiology top 2%
- Molecular Biology
- Epidemiology
- Rheumatology top 10%
- Immunology
- Co-authors
- S. ArulkumaranManju ChandiramaniYun Sok LeeLindsay KindingerJulian R. MarchesiT. TeohDavid A. MacIntyreElaine Holmes
- Topics
- Bayesian Modeling and Causal Inference (5 papers)Bioinformatics and Genomic Networks (4 papers)Monoclonal and Polyclonal Antibodies Research (4 papers)
- Cited by
- MicrobiologyRheumatologyEpidemiology
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Nicos Angelopoulos
28 papers receiving 621 citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Microbiology 253
- Molecular Biology 243
- Epidemiology 224
- Rheumatology 128
- Immunology 68
Countries citing papers authored by Nicos Angelopoulos
This map shows the geographic impact of Nicos Angelopoulos'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 Nicos Angelopoulos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicos Angelopoulos more than expected).
Fields of papers citing papers by Nicos Angelopoulos
This network shows the impact of papers produced by Nicos Angelopoulos. 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 Nicos Angelopoulos. The network helps show where Nicos Angelopoulos may publish in the future.
Co-authorship network of co-authors of Nicos Angelopoulos
This figure shows the co-authorship network connecting the top 25 collaborators of Nicos Angelopoulos. A scholar is included among the top collaborators of Nicos Angelopoulos based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nicos Angelopoulos. Nicos Angelopoulos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 17 | |
| 4 | 24 | |
| 5 | 1 | |
| 6 | 23 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | A logical approach to working with biological databases | 1 |
| 11 | 20 | |
| 12 | The vaginal microbiome during pregnancy and the postpartum period in a European populationbreakdown → | 397 |
| 13 | 12 | |
| 14 | 11 | |
| 15 | Exploiting informative priors for Bayesian classification and regression trees | 7 |
| 16 | 4 | |
| 17 | 24 | |
| 18 | 8 | |
| 19 | 13 | |
| 20 | Implementing randomised algorithms in constraint logic programming | 3 |
About Nicos Angelopoulos
Nicos Angelopoulos is a scholar working on Information Systems and Management, Statistics and Probability and Artificial Intelligence, having authored 29 papers that have together received 642 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (5 papers), Bioinformatics and Genomic Networks (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Microbiology (253 citations), Rheumatology (128 citations) and Epidemiology (224 citations). Nicos Angelopoulos has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include S. Arulkumaran, Manju Chandiramani, Yun Sok Lee, Lindsay Kindinger, Julian R. Marchesi, T. Teoh, David A. MacIntyre, Elaine Holmes, Phillip R. Bennett and Ann Smith. Their work appears in journals such as Cancer Research, Scientific Reports and PLoS Pathogens.
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.