Mark Baillie
Impact in
- Parasitology top 5%
- Parasites and Host Interactions
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- Personal Information Management and User Behavior
Papers in
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- Information Retrieval and Search Behavior 18
- Web Data Mining and Analysis 5
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- Topic Modeling 10
- Advanced Text Analysis Techniques 5
- Co-authors
- G. Gettinby (6 shared papers)F. Lees (6 shared papers)Crawford W. Revie (6 shared papers)Fábio Crestani (15 shared papers)Ian Ruthven (14 shared papers)Mark Carman (6 shared papers)David Elsweiler (5 shared papers)Joemon M. Jose (3 shared papers)
- Journals
- Journal of Fish Diseases (3 papers)PLoS ONE (3 papers)Pharmaceutical Statistics (3 papers)Information Processing & Management (2 papers)Lecture notes in computer science (11 papers)
- Partner nations
- United KingdomSwitzerlandUnited States
In The Last Decade
Mark Baillie
55 papers receiving 741 citations
Peers
Comparison fields: 5 of 100
- Parasitology 115
- Information Systems and Management 90
- Information Systems 273
- Ecology 234
- Signal Processing 88
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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 159 | |
| 2 | 2010 | 64 | |
| 3 | 2008 | 49 | |
| 4 | 2003 | 42 | |
| 5 | 2008 | 35 | |
| 6 | 2009 | 32 | |
| 7 | 2011 | 30 | |
| 8 | 2005 | 26 | |
| 9 | 2008 | 26 | |
| 10 | 2009 | 25 | |
| 11 | 2007 | 24 | |
| 12 | 2006 | 24 | |
| 13 | 1971 | 24 | |
| 14 | 2010 | 21 | |
| 15 | 2007 | 16 | |
| 16 | 2010 | 16 | |
| 17 | 2009 | 13 | |
| 18 | 2007 | 12 | |
| 19 | 2009 | 10 | |
| 20 | 2023 | 10 |
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 55 papers that have together received 796 indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (18 papers), Topic Modeling (10 papers), Parasite Biology and Host Interactions (6 papers), Web Data Mining and Analysis (5 papers), Music and Audio Processing (5 papers), Statistical Methods in Clinical Trials (5 papers), Advanced Text Analysis Techniques (5 papers) and Data Visualization and Analytics (4 papers). The work is most often cited by research in Parasitology (115 citations), Information Systems and Management (90 citations), Information Systems (273 citations), Ecology (234 citations) and Signal Processing (88 citations). Mark Baillie has collaborated with scholars based in United Kingdom, Switzerland and United States. Frequent co-authors include G. Gettinby, F. Lees, Crawford W. Revie, Fábio Crestani, Ian Ruthven, Mark Carman, David Elsweiler, Joemon M. Jose, Leif Azzopardi and Morgan Harvey. Their work appears in journals such as Journal of Fish Diseases, PLoS ONE, Pharmaceutical Statistics, Information Processing & Management and Lecture notes in computer science.
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.