Mark Baillie
Impact in
- Parasitology top 5%
- Parasites and Host Interactions
- Bird parasitology and diseases
- Ecology top 10%
- Parasite Biology and Host Interactions
Papers in
-
- Information Retrieval and Search Behavior 14
- Expert finding and Q&A systems 4
- Web Data Mining and Analysis 3
-
- Topic Modeling 9
- Co-authors
- Crawford W. Revie (6 shared papers)F. Lees (6 shared papers)G. Gettinby (6 shared papers)Fábio Crestani (12 shared papers)Mark Carman (4 shared papers)Ian Ruthven (9 shared papers)David Elsweiler (4 shared papers)Leif Azzopardi (7 shared papers)
- Journals
- PLoS ONE (3 papers)Journal of Fish Diseases (3 papers)Pharmaceutical Statistics (3 papers)Information Processing & Management (2 papers)Aquaculture (1 paper)
- Partner nations
- United KingdomSwitzerlandUnited States
In The Last Decade
Mark Baillie
43 papers receiving 565 citations
Peers
Comparison fields: 5 of 93
- Parasitology 115
- Ecology 229
- Information Systems and Management 54
- Information Systems 175
- Small Animals 46
Countries citing papers authored by Mark Baillie
This map shows the geographic impact of Mark Baillie'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 Mark Baillie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Baillie more than expected).
Fields of papers citing papers by Mark Baillie
This network shows the impact of papers produced by Mark Baillie. 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 Mark Baillie. The network helps show where Mark Baillie may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Baillie, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 155 | |
| 2 | 2010 | 62 | |
| 3 | 2008 | 36 | |
| 4 | 2008 | 34 | |
| 5 | 2009 | 32 | |
| 6 | 2005 | 23 | |
| 7 | 2007 | 22 | |
| 8 | 1971 | 21 | |
| 9 | 2010 | 20 | |
| 10 | 2009 | 19 | |
| 11 | 2008 | 18 | |
| 12 | 2009 | 13 | |
| 13 | 2007 | 13 | |
| 14 | 2007 | 11 | |
| 15 | 2009 | 9 | |
| 16 | 2006 | 8 | |
| 17 | 2023 | 8 | |
| 18 | 2006 | 7 | |
| 19 | 2019 | 6 | |
| 20 | 2024 | 6 |
About Mark Baillie
Mark Baillie is a scholar working on Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition, Statistics and Probability and Ecology, having authored 43 papers that have together received 594 indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (14 papers), Topic Modeling (9 papers), Parasite Biology and Host Interactions (6 papers), Statistical Methods in Clinical Trials (5 papers), Expert finding and Q&A systems (4 papers), Data Visualization and Analytics (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers) and Web Data Mining and Analysis (3 papers). The work is most often cited by research in Parasitology (115 citations), Ecology (229 citations), Information Systems and Management (54 citations), Information Systems (175 citations) and Small Animals (46 citations). Mark Baillie has collaborated with scholars based in United Kingdom, Switzerland and United States. Frequent co-authors include Crawford W. Revie, F. Lees, G. Gettinby, Fábio Crestani, Mark Carman, Ian Ruthven, David Elsweiler, Leif Azzopardi, Morgan Harvey and Joemon M. Jose. Their work appears in journals such as PLoS ONE, Journal of Fish Diseases, Pharmaceutical Statistics, Information Processing & Management and Aquaculture.
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.