Mark Baillie

1.2k total citations
43 papers, 586 citations indexed

About

Mark Baillie is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mark Baillie has authored 43 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Information Systems, 17 papers in Artificial Intelligence and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mark Baillie's work include Information Retrieval and Search Behavior (14 papers), Topic Modeling (9 papers) and Parasite Biology and Host Interactions (6 papers). Mark Baillie is often cited by papers focused on Information Retrieval and Search Behavior (14 papers), Topic Modeling (9 papers) and Parasite Biology and Host Interactions (6 papers). Mark Baillie collaborates with scholars based in United Kingdom, Switzerland and United States. Mark Baillie's co-authors include G. Gettinby, F. Lees, Crawford W. Revie, Fábio Crestani, Mark Carman, Ian Ruthven, David Elsweiler, Leif Azzopardi, Morgan Harvey and Joemon M. Jose and has published in prestigious journals such as PLoS ONE, Gut and Aquaculture.

In The Last Decade

Mark Baillie

42 papers receiving 557 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mark Baillie United Kingdom 13 230 175 123 118 114 43 586
P.A.S. Olivier South Africa 13 168 0.7× 167 1.0× 289 2.3× 68 0.6× 7 0.1× 42 626
Chaitanya S. Gokhale Germany 21 82 0.4× 66 0.4× 160 1.3× 9 0.1× 11 0.1× 53 1.4k
Michalis Pavlidis United Kingdom 13 98 0.4× 173 1.0× 74 0.6× 6 0.1× 116 1.0× 36 512
Sándor Juhász Hungary 12 23 0.1× 38 0.2× 87 0.7× 21 0.2× 14 0.1× 46 480
Lin Dai China 8 51 0.2× 33 0.2× 97 0.8× 12 0.1× 13 0.1× 26 645
Wellington S. Martins Brazil 14 51 0.2× 44 0.3× 156 1.3× 13 0.1× 16 0.1× 50 1.2k
Cornelia Hedeler United Kingdom 11 28 0.1× 40 0.2× 63 0.5× 41 0.3× 43 0.4× 19 559
Andrew Butterfield Ireland 8 78 0.3× 35 0.2× 75 0.6× 10 0.1× 11 0.1× 32 649
Jane Lomax United Kingdom 19 55 0.2× 85 0.5× 661 5.4× 10 0.1× 15 0.1× 32 1.4k
Sébastien Harispe France 7 112 0.5× 41 0.2× 154 1.3× 12 0.1× 22 0.2× 14 735

Countries citing papers authored by Mark Baillie

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Mark Baillie

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Baillie. A scholar is included among the top collaborators of Mark Baillie 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 Mark Baillie. Mark Baillie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sechidis, Konstantinos, Sophie Sun, Yao Chen, et al.. (2024). WATCH: A Workflow to Assess Treatment Effect Heterogeneity in Drug Development for Clinical Trial Sponsors. Pharmaceutical Statistics. 24(2). e2463–e2463. 1 indexed citations
2.
Lusa, Lara, Cécile Proust‐Lima, Carsten Oliver Schmidt, et al.. (2024). Initial data analysis for longitudinal studies to build a solid foundation for reproducible analysis. PLoS ONE. 19(5). e0295726–e0295726. 1 indexed citations
3.
Baillie, Mark, et al.. (2024). All that Glitters Is not Gold: Type‐I Error Controlled Variable Selection from Clinical Trial Data. Clinical Pharmacology & Therapeutics. 115(4). 774–785. 2 indexed citations
4.
Heinze, Georg, Mark Baillie, Lara Lusa, et al.. (2024). Regression without regrets –initial data analysis is a prerequisite for multivariable regression. BMC Medical Research Methodology. 24(1). 178–178. 5 indexed citations
5.
Vandemeulebroecke, Marc, et al.. (2023). DMC reports in the 21st century: towards better tools for decision-making. Trials. 24(1). 289–289. 3 indexed citations
6.
Baillie, Mark, et al.. (2022). Rethinking clinical study data: why we should respect analysis results as data. Scientific Data. 9(1). 686–686. 3 indexed citations
7.
Baillie, Mark, et al.. (2022). Good Data Science Practice: Moving Toward a Code of Practice for Drug Development. Statistics in Biopharmaceutical Research. 15(1). 74–85. 4 indexed citations
8.
Baillie, Mark, F. Lees, G. Gettinby, & Crawford W. Revie. (2009). The use of prevalence as a measure of lice burden: a case study of Lepeophtheirus salmonis on Scottish Atlantic salmon, Salmo salar L., farms. Journal of Fish Diseases. 32(1). 15–25. 12 indexed citations
9.
Baillie, Mark, et al.. (2009). Measuring the likelihood property of scoring functions in general retrieval models. Journal of the American Society for Information Science and Technology. 60(6). 1294–1297. 1 indexed citations
10.
Elsweiler, David, Mark Baillie, & Ian Ruthven. (2009). On Understanding the Relationship Between Recollection and Refinding. University of Regensburg Publication Server (University of Regensburg). 6 indexed citations
11.
Lees, F., Mark Baillie, G. Gettinby, & Crawford W. Revie. (2009). Efficacy of emamectin benzoate sea lice treatments.. 32(2). 44–47. 4 indexed citations
12.
Heuch, Peter Andreas, Crawford W. Revie, G. Gettinby, et al.. (2009). Temporal and spatial variations in lice numbers on salmon farms in the Hardanger fjord 2004–06. Journal of Fish Diseases. 32(1). 89–100. 31 indexed citations
13.
Lees, F., Mark Baillie, G. Gettinby, & Crawford W. Revie. (2008). The Efficacy of Emamectin Benzoate against Infestations of Lepeophtheirus salmonis on Farmed Atlantic Salmon (Salmo salar L) in Scotland, 2002–2006. PLoS ONE. 3(2). e1549–e1549. 155 indexed citations
14.
Lees, F., Mark Baillie, G. Gettinby, & Crawford W. Revie. (2008). Factors associated with changing efficacy of emamectin benzoate against infestations of Lepeophtheirus salmonis on Scottish salmon farms. Journal of Fish Diseases. 31(12). 947–951. 34 indexed citations
15.
Carman, Mark, Mark Baillie, & Fábio Crestani. (2008). Tag data and personalized information retrieval. 27–34. 18 indexed citations
16.
Baillie, Mark, et al.. (2007). Language models, probability of relevance and relevance likelihood. 853–856. 4 indexed citations
17.
Baillie, Mark, Leif Azzopardi, & Fábio Crestani. (2006). An evaluation of resource description quality measures. 1110–1111. 3 indexed citations
18.
Azzopardi, Leif, Mark Baillie, & Fábio Crestani. (2006). Adaptive query-based sampling for distributed IR. 605–606. 7 indexed citations
19.
Baillie, Mark & Joemon M. Jose. (2005). An Audio-Based Sports Video Segmentation and Event Detection Algorithm. 110–110. 23 indexed citations
20.
Baillie, Mark, David Elsweiler, Ian Ruthven, et al.. (2005). University of Strathclyde at TREC HARD. Strathprints: The University of Strathclyde institutional repository (University of Strathclyde). 2 indexed citations

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.

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