Geraldine Gray

419 total citations
22 papers, 228 citations indexed

About

Geraldine Gray is a scholar working on Computer Science Applications, Artificial Intelligence and Developmental and Educational Psychology. According to data from OpenAlex, Geraldine Gray has authored 22 papers receiving a total of 228 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Science Applications, 5 papers in Artificial Intelligence and 4 papers in Developmental and Educational Psychology. Recurrent topics in Geraldine Gray's work include Online Learning and Analytics (15 papers), Intelligent Tutoring Systems and Adaptive Learning (5 papers) and E-Learning and Knowledge Management (3 papers). Geraldine Gray is often cited by papers focused on Online Learning and Analytics (15 papers), Intelligent Tutoring Systems and Adaptive Learning (5 papers) and E-Learning and Knowledge Management (3 papers). Geraldine Gray collaborates with scholars based in Ireland, United States and Spain. Geraldine Gray's co-authors include Philip Owende, Markus Hofmann, Yoav Bergner, Iván García‐Magariño, Raquel Lacuesta, Jaime Lloret, Benjamin Motz, Christopher Brooks, Joshua Quick and Fernando Marmolejo‐Ramos and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Computers & Education.

In The Last Decade

Geraldine Gray

20 papers receiving 199 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Geraldine Gray Ireland 8 176 82 51 46 38 22 228
Vangel V. Ajanovski North Macedonia 4 254 1.4× 74 0.9× 53 1.0× 29 0.6× 70 1.8× 16 303
Gomathy Ramaswami New Zealand 7 168 1.0× 88 1.1× 43 0.8× 18 0.4× 38 1.0× 9 248
Samira ElAtia Canada 5 165 0.9× 98 1.2× 60 1.2× 33 0.7× 59 1.6× 15 240
Joshua D. Baron United States 6 287 1.6× 123 1.5× 120 2.4× 33 0.7× 27 0.7× 8 344
Sandra G. Nunn United States 3 188 1.1× 48 0.6× 86 1.7× 12 0.3× 42 1.1× 5 254
Therese Kanai United States 3 189 1.1× 46 0.6× 92 1.8× 12 0.3× 43 1.1× 4 250
John T. Avella United States 3 188 1.1× 48 0.6× 88 1.7× 12 0.3× 42 1.1× 7 256
Alfred Essa United States 7 195 1.1× 68 0.8× 62 1.2× 18 0.4× 34 0.9× 17 236
Elizaphan Maina Kenya 8 148 0.8× 49 0.6× 112 2.2× 19 0.4× 82 2.2× 25 277
Nisha S. Raj India 7 140 0.8× 95 1.2× 32 0.6× 10 0.2× 94 2.5× 16 238

Countries citing papers authored by Geraldine Gray

Since Specialization
Citations

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

Fields of papers citing papers by Geraldine Gray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geraldine Gray

This figure shows the co-authorship network connecting the top 25 collaborators of Geraldine Gray. A scholar is included among the top collaborators of Geraldine Gray 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 Geraldine Gray. Geraldine Gray 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.
Gray, Geraldine, et al.. (2025). Development of machine learning algorithms to predict viral load suppression among HIV patients in Conakry (Guinea). Frontiers in Artificial Intelligence. 8. 1446876–1446876.
2.
Motz, Benjamin, Yoav Bergner, Christopher Brooks, et al.. (2023). LAK of Direction. Journal of Learning Analytics. 1–13. 15 indexed citations
3.
Gray, Geraldine, et al.. (2022). Stakeholders’ insights on learning analytics: Perspectives of students and staff. Computers & Education. 187. 104550–104550. 11 indexed citations
4.
5.
Gray, Geraldine, et al.. (2020). Asynchronous Assistance: A Social Network Analysis of Influencing Peer Interactions in PeerWise. volume-1-2020(volume-1-issue-1-june-2020). 43–52. 1 indexed citations
6.
García‐Magariño, Iván, Geraldine Gray, Raquel Lacuesta, & Jaime Lloret. (2020). Smart Green Communication Protocols Based on Several-Fold Messages Extracted from Common Sequential Patterns in UAVs. IEEE Network. 34(3). 249–255. 4 indexed citations
7.
Gray, Geraldine, et al.. (2019). Prediction of student academic performance using Moodle data from a Further Education setting.. SHILAP Revista de lepidopterología. 5(1). 19 indexed citations
8.
Keane, Michael P. & Geraldine Gray. (2019). An Investigation into the pre-enrolment characteristics of students to identify factors predictive of academic performance within first year computing and engineering programmes of study in a Higher Educational Institution. 11(1). 2 indexed citations
9.
García‐Magariño, Iván, Geraldine Gray, Raquel Lacuesta, & Jaime Lloret. (2018). Survivability Strategies for Emerging Wireless Networks With Data Mining Techniques: a Case Study With NetLogo and RapidMiner. IEEE Access. 6. 27958–27970. 8 indexed citations
10.
Bergner, Yoav, et al.. (2018). What Does Methodology Mean for Learning Analytics?. Journal of Learning Analytics. 5(2). 7 indexed citations
11.
Bergner, Yoav, et al.. (2017). A focus on methodology in learning analytics: Building a structurally sound bridge discipline. 1915. 1 indexed citations
12.
Gray, Geraldine, et al.. (2016). Learning Factor Models of Students at Risk of Failing in the Early Stage of Tertiary Education. Journal of Learning Analytics. 3(2). 330–372. 23 indexed citations
13.
Gray, Geraldine. (2014). A Review of Psychometric Data Analysis and Applications in Modelling of Academic Achievement in Tertiary Education. Journal of Learning Analytics. 1(1). 75–106. 16 indexed citations
14.
Gray, Geraldine, et al.. (2014). An application of classification models to predict learner progression in tertiary education. 549–554. 89 indexed citations
15.
Gray, Geraldine, et al.. (2014). Non-cognitive Factors of Learning as Predictors of Academic Performance in Tertiary Education.. 2 indexed citations
16.
Gray, Geraldine, et al.. (2013). An Investigation of Psychometric Measures for Modelling Academic Performance in Tertiary Education.. Educational Data Mining. 240–243. 8 indexed citations
17.
Gray, Geraldine, et al.. (2013). Investigating the efficacy of algorithmic student modelling in predicting students at risk of failing in tertiary education. Educational Data Mining. 378–380. 2 indexed citations
18.
Gray, Geraldine, et al.. (2011). Development and Evaluation of a Dataset Generator Tool for Generating Synthetic Log Files Containing Computer Attack Signatures. International Journal of Ambient Computing and Intelligence. 3(2). 64–76. 5 indexed citations
19.
Gray, Geraldine, et al.. (2009). ACCOMMODATING LEARNER DIVERSITY IN THE CLASSROOM. 12(8). 4629–4635. 1 indexed citations
20.
Gray, Geraldine, et al.. (2009). Using ICT to enable inclusive teaching practices in higher education. 4 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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