David Glasspool

1.3k total citations
33 papers, 680 citations indexed

About

David Glasspool is a scholar working on Artificial Intelligence, Management Information Systems and Genetics. According to data from OpenAlex, David Glasspool has authored 33 papers receiving a total of 680 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 9 papers in Management Information Systems and 7 papers in Genetics. Recurrent topics in David Glasspool's work include Business Process Modeling and Analysis (9 papers), Semantic Web and Ontologies (9 papers) and Genomics and Rare Diseases (6 papers). David Glasspool is often cited by papers focused on Business Process Modeling and Analysis (9 papers), Semantic Web and Ontologies (9 papers) and Genomics and Rare Diseases (6 papers). David Glasspool collaborates with scholars based in United Kingdom, United States and Israel. David Glasspool's co-authors include George Houghton, Julie Fox, Tim Shallice, John Fox, Marc Cuggia, Adela Grando, Paolo Besana, Jon Emery, Mor Peleg and Anne H. Coulson and has published in prestigious journals such as Frontiers in Psychology, Brain and Language and International Journal of Medical Informatics.

In The Last Decade

David Glasspool

32 papers receiving 646 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Glasspool United Kingdom 14 218 146 132 126 116 33 680
Andrew McMurry United States 8 159 0.7× 296 2.0× 11 0.1× 95 0.8× 236 2.0× 19 902
Eugene Tseytlin United States 15 341 1.6× 48 0.3× 75 0.6× 107 0.8× 171 1.5× 27 692
Oliver J. Bott Germany 15 62 0.3× 27 0.2× 25 0.2× 48 0.4× 55 0.5× 65 580
Rebecca Nugent United States 15 179 0.8× 32 0.2× 41 0.3× 58 0.5× 74 0.6× 45 571
Michael Lincoln United States 13 203 0.9× 37 0.3× 117 0.9× 37 0.3× 202 1.7× 36 538
Vimla L. Patel United States 11 80 0.4× 13 0.1× 25 0.2× 117 0.9× 124 1.1× 12 375
Sebastian Porsdam Mann United Kingdom 12 109 0.5× 74 0.5× 7 0.1× 143 1.1× 64 0.6× 49 575
Christopher Parisien Canada 7 330 1.5× 55 0.4× 40 0.3× 27 0.2× 69 0.6× 13 626
Stephan Kiefer Germany 11 70 0.3× 41 0.3× 10 0.1× 33 0.3× 64 0.6× 34 358
Eric Glover United States 9 99 0.5× 173 1.2× 10 0.1× 21 0.2× 19 0.2× 23 640

Countries citing papers authored by David Glasspool

Since Specialization
Citations

This map shows the geographic impact of David Glasspool'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 David Glasspool with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Glasspool more than expected).

Fields of papers citing papers by David Glasspool

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Glasspool. 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 David Glasspool. The network helps show where David Glasspool may publish in the future.

Co-authorship network of co-authors of David Glasspool

This figure shows the co-authorship network connecting the top 25 collaborators of David Glasspool. A scholar is included among the top collaborators of David Glasspool 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 David Glasspool. David Glasspool 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.
Lanzola, Giordano, Enea Parimbelli, Ronald Cornet, et al.. (2023). The Case Manager: An Agent Controlling the Activation of Knowledge Sources in a FHIR-Based Distributed Reasoning Environment. Applied Clinical Informatics. 14(4). 725–734.
2.
Fox, John, Richard Cooper, & David Glasspool. (2013). A Canonical Theory of Dynamic Decision-Making. Frontiers in Psychology. 4. 150–150. 25 indexed citations
3.
Peleg, Mor, John Fox, Vivek Patkar, et al.. (2013). A Computer-Interpretable Version of the AACE, AME, ETA Medical Guidelines for Clinical Practice for the Diagnosis and Management of Thyroid Nodules. Endocrine Practice. 20(4). 352–359. 13 indexed citations
4.
Grando, Adela, David Glasspool, & Aziz A. Boxwala. (2012). Argumentation logic for the flexible enactment of goal-based medical guidelines. Journal of Biomedical Informatics. 45(5). 938–949. 8 indexed citations
5.
Cuggia, Marc, Paolo Besana, & David Glasspool. (2011). Comparing semi-automatic systems for recruitment of patients to clinical trials. International Journal of Medical Informatics. 80(6). 371–388. 65 indexed citations
6.
Grando, Adela, David Glasspool, & John Fox. (2011). A formal approach to the analysis of clinical computer-interpretable guideline modeling languages. Artificial Intelligence in Medicine. 54(1). 1–13. 11 indexed citations
7.
Grando, Adela, Mor Peleg, Marc Cuggia, & David Glasspool. (2011). Patterns for collaborative work in health care teams. Artificial Intelligence in Medicine. 53(3). 139–160. 19 indexed citations
8.
Glasspool, David, et al.. (2010). Interactive Decision Support for Risk Management: a Qualitative Evaluation in Cancer Genetic Counselling Sessions. Journal of Cancer Education. 25(3). 312–316. 6 indexed citations
9.
Grando, Adela, Mor Peleg, & David Glasspool. (2009). A goal-oriented framework for specifying clinical guidelines and handling medical errors. Journal of Biomedical Informatics. 43(2). 287–299. 31 indexed citations
10.
Smith‐Spark, James H., et al.. (2007). Supporting Medical Planning by Mitigating Cognitive Load. Methods of Information in Medicine. 46(6). 636–640. 12 indexed citations
11.
Smith‐Spark, James H., et al.. (2006). Argumentation in Decision Support for Medical Care Planning for Patients and Clinicians.. Research Open (London South Bank University). 58–63. 9 indexed citations
12.
Fox, John, Elizabeth Black, David Glasspool, et al.. (2006). Towards a General Model for Argumentation Services.. Research Portal (King's College London). 52–57. 5 indexed citations
13.
Glasspool, David & George Houghton. (2005). Serial order and consonant–vowel structure in a graphemic output buffer model. Brain and Language. 94(3). 304–330. 51 indexed citations
14.
Glasspool, David, Tim Shallice, & Lisa Cipolotti. (2005). Towards a unified process model for graphemic buffer disorder and deep dysgraphia. Cognitive Neuropsychology. 23(3). 479–512. 30 indexed citations
15.
Cipolotti, Lisa, Chris M. Bird, David Glasspool, & Tim Shallice. (2004). The Impact of Deep Dysgraphia on Graphemic Buffer Disorders. Neurocase. 10(6). 405–419. 30 indexed citations
16.
Fox, John, et al.. (2003). Understanding intelligent agents: analysis and synthesis. AI Communications. 16(3). 139–152. 36 indexed citations
17.
Glasspool, David & John Fox. (2001). REACT—A Decision-support System for Medical Planning. Europe PMC (PubMed Central). 911–911. 2 indexed citations
18.
Emery, Jon, R. J. Walton, Michael Murphy, et al.. (2000). Computer support for interpreting family histories of breast and ovarian cancer in primary care: comparative study with simulated cases. BMJ. 321(7252). 28–32. 84 indexed citations
19.
20.
Bullinaria, John A., George Houghton, & David Glasspool. (1997). 4th Neural Computation and Psychology Workshop, London, 9-11 April 1997: Connectionist Representation. Springer eBooks. 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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