Mark Donnelly

1.5k total citations
93 papers, 812 citations indexed

About

Mark Donnelly is a scholar working on Computer Vision and Pattern Recognition, Demography and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Mark Donnelly has authored 93 papers receiving a total of 812 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 19 papers in Demography and 18 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Mark Donnelly's work include Context-Aware Activity Recognition Systems (22 papers), Technology Use by Older Adults (19 papers) and ECG Monitoring and Analysis (16 papers). Mark Donnelly is often cited by papers focused on Context-Aware Activity Recognition Systems (22 papers), Technology Use by Older Adults (19 papers) and ECG Monitoring and Analysis (16 papers). Mark Donnelly collaborates with scholars based in United Kingdom, Ireland and Sweden. Mark Donnelly's co-authors include Chris Nugent, Dewar Finlay, N.D. Black, Sally McClean, Paul McCullagh, Bryan Scotney, Ian Cleland, David Craig, Liming Chen and Leo Galway and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Expert Systems with Applications.

In The Last Decade

Mark Donnelly

87 papers receiving 783 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 Donnelly United Kingdom 17 227 193 141 113 112 93 812
N.D. Black United Kingdom 20 242 1.1× 215 1.1× 34 0.2× 72 0.6× 277 2.5× 90 1.2k
Farhaan Mirza New Zealand 10 147 0.6× 84 0.4× 90 0.6× 160 1.4× 109 1.0× 55 838
Ane Alberdi Spain 10 171 0.8× 151 0.8× 40 0.3× 49 0.4× 244 2.2× 17 926
Thanos G. Stavropoulos Greece 16 344 1.5× 29 0.2× 156 1.1× 197 1.7× 141 1.3× 61 1000
Jit Biswas Singapore 22 520 2.3× 92 0.5× 113 0.8× 459 4.1× 200 1.8× 93 1.3k
Simon Brownsell United Kingdom 17 198 0.9× 58 0.3× 131 0.9× 35 0.3× 77 0.7× 40 940
Afsaneh Doryab United States 19 270 1.2× 36 0.2× 69 0.5× 81 0.7× 113 1.0× 50 1.4k
Bruno M. C. Silva Portugal 15 225 1.0× 86 0.4× 124 0.9× 346 3.1× 121 1.1× 41 1.6k
Katarzyna Wac Switzerland 20 409 1.8× 96 0.5× 68 0.5× 356 3.2× 127 1.1× 118 1.7k
Majd Alwan United States 13 184 0.8× 63 0.3× 86 0.6× 50 0.4× 39 0.3× 19 463

Countries citing papers authored by Mark Donnelly

Since Specialization
Citations

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

Fields of papers citing papers by Mark Donnelly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Donnelly

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Donnelly. A scholar is included among the top collaborators of Mark Donnelly 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 Donnelly. Mark Donnelly 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.
Shafi, Muhammad, et al.. (2025). Assessing ECG Interpretation Expertise in Medical Practitioners Through Eye Movement Data and Neuromorphic Models. IEEE Access. 13. 9430–9449. 1 indexed citations
2.
Faddy, M. J., et al.. (2025). Modelling Task Durations Towards Automated, Big Data, Process Mining. Applied Stochastic Models in Business and Industry. 41(1). 1 indexed citations
3.
4.
McClean, Sally, et al.. (2024). Detecting Process Duration Drift Using Gamma Mixture Models in a Left-Truncated and Right-Censored Environment. ACM Transactions on Knowledge Discovery from Data. 18(8). 1–24. 6 indexed citations
5.
Ortíz‐Barrios, Miguel, Ian Cleland, Mark Donnelly, et al.. (2024). Integrated Approach Using Intuitionistic Fuzzy Multicriteria Decision-Making to Support Classifier Selection for Technology Adoption in Patients with Parkinson Disease: Algorithm Development and Validation. JMIR Rehabilitation and Assistive Technologies. 11. e57940–e57940.
6.
7.
McClean, Sally, et al.. (2022). Detecting and Responding to Concept Drift in Business Processes. Algorithms. 15(5). 174–174. 5 indexed citations
8.
McClean, Sally, et al.. (2022). A multi-components approach to monitoring process structure and customer behaviour concept drift. Expert Systems with Applications. 210. 118533–118533. 9 indexed citations
9.
Donnelly, Mark, et al.. (2022). Heart Rate Variability Biofeedback to Treat Anxiety in Young People With Autism Spectrum Disorder: Findings From a Home-Based Pilot Study. JMIR Formative Research. 6(8). e37994–e37994. 7 indexed citations
10.
Chaurasia, Priyanka, Sally McClean, Chris Nugent, et al.. (2021). Modelling mobile-based technology adoption among people with dementia. Personal and Ubiquitous Computing. 26(2). 365–384. 6 indexed citations
11.
Espinilla, Macarena, Javier Medina-Quero, Alberto Salguero, et al.. (2018). Human Activity Recognition from the Acceleration Data of a Wearable Device. Which Features Are More Relevant by Activities?. SHILAP Revista de lepidopterología. 1242–1242. 15 indexed citations
12.
Donnelly, Mark, et al.. (2018). A Comparative Analysis of Windowing Approaches in Dense Sensing Environments. SHILAP Revista de lepidopterología. 1245–1245. 19 indexed citations
13.
Chen, Liming, et al.. (2015). Ontological characterization and representation of context within smart environments. DMU Open Research Archive (De Montfort University). 30(1). 19–32. 2 indexed citations
14.
Donnelly, Mark. (2012). Impact analysis of solutions for chronic disease prevention and management : 10th International Conference on Smart Homes and Health Telematics, ICOST 2012, Artiminio, Italy, June 12-15, 2012 : proceedings. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 1 indexed citations
15.
Chen, Liming, et al.. (2012). An Ontology-based Context Management System for Smart Environments. DMU Open Research Archive (De Montfort University). 18–23. 4 indexed citations
16.
Guldenring, Daniel, Dewar Finlay, Chris Nugent, et al.. (2011). Estimation accuracy of a reduced lead system during simulated ischemia. Computing in Cardiology. 237–240. 4 indexed citations
17.
Finlay, Dewar, Chris Nugent, S.P. Nelwan, et al.. (2010). Effects of electrode placement errors in the EASI-derived 12-lead electrocardiogram. Journal of Electrocardiology. 43(6). 606–611. 18 indexed citations
18.
Hong, Xin, Chris Nugent, Liming Chen, et al.. (2009). OpenHome : Approaches to Constructing Sharable Datasets within Smart Homes. DMU Open Research Archive (De Montfort University). 2 indexed citations
19.
Finlay, Dewar, Chris Nugent, Jan A. Kors, et al.. (2007). Optimizing the 12-lead electrocardiogram: a data driven approach to locating alternative recording sites. Journal of Electrocardiology. 40(3). 292–299. 10 indexed citations
20.
Donnelly, Mark, Chris Nugent, Dewar Finlay, & N.D. Black. (2006). Optimal electrode placements for the identification of old MI and LVH. Computing in Cardiology Conference. 437–440. 1 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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