Ronan Cummins

945 total citations
39 papers, 529 citations indexed

About

Ronan Cummins is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ronan Cummins has authored 39 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 21 papers in Information Systems and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ronan Cummins's work include Information Retrieval and Search Behavior (21 papers), Topic Modeling (14 papers) and Web Data Mining and Analysis (8 papers). Ronan Cummins is often cited by papers focused on Information Retrieval and Search Behavior (21 papers), Topic Modeling (14 papers) and Web Data Mining and Analysis (8 papers). Ronan Cummins collaborates with scholars based in United Kingdom, Ireland and Spain. Ronan Cummins's co-authors include Colm O’Riordan, Joemon M. Jose, Mounia Lalmas, Ted Briscoe, Meng Zhang, Helen Yannakoudakis, Valentin Tablan, Michael Ewbank, Ana Catarino and Ke Zhou and has published in prestigious journals such as Journal of Affective Disorders, Canadian Journal of Fisheries and Aquatic Sciences and Journal of Medical Internet Research.

In The Last Decade

Ronan Cummins

39 papers receiving 502 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ronan Cummins United Kingdom	13	280	241	88	69	51	39	529
Shoaib Jameel United Kingdom	11	331 1.2×	80 0.3×	44 0.5×	96 1.4×	64 1.3×	53	515
Mary Swift United States	15	532 1.9×	51 0.2×	56 0.6×	61 0.9×	62 1.2×	39	747
Timothy N. Rubin United States	7	222 0.8×	58 0.2×	49 0.6×	16 0.2×	39 0.8×	8	404
Adrián Pastor López-Monroy Mexico	11	261 0.9×	83 0.3×	43 0.5×	31 0.4×	43 0.8×	51	368
Braja Gopal Patra United States	12	180 0.6×	57 0.2×	35 0.4×	24 0.3×	30 0.6×	44	461
Saadia Gabriel United States	9	536 1.9×	87 0.4×	36 0.4×	31 0.4×	32 0.6×	18	681
Marco Guerini Italy	13	348 1.2×	62 0.3×	35 0.4×	26 0.4×	57 1.1×	53	521
Gerasimos Spanakis Netherlands	11	147 0.5×	49 0.2×	41 0.5×	40 0.6×	20 0.4×	43	313
Colin Matheson United Kingdom	11	256 0.9×	30 0.1×	27 0.3×	81 1.2×	72 1.4×	22	410
Justyna Sarzyńska‐Wawer Poland	7	148 0.5×	35 0.1×	35 0.4×	15 0.2×	22 0.4×	17	297

Countries citing papers authored by Ronan Cummins

Since Specialization

Citations

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

Fields of papers citing papers by Ronan Cummins

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ronan Cummins

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

All Works

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20 of 20 papers shown

Palmer, Clare E., Emily A. Marshall, Edward Millgate, et al.. (2025). Combining Artificial Intelligence and Human Support in Mental Health: Digital Intervention With Comparable Effectiveness to Human-Delivered Care. Journal of Medical Internet Research. 27. e69351–e69351. 1 indexed citations

Hitchcock, Caitlin, Julia Funk, Ronan Cummins, et al.. (2024). A deep learning quantification of patient specificity as a predictor of session attendance and treatment response to internet-enabled cognitive behavioural therapy for common mental health disorders. Journal of Affective Disorders. 350. 485–491. 2 indexed citations

Xie, Chen, et al.. (2018). The Effect of Adding Authorship Knowledge in Automated Text Scoring. 305–314. 1 indexed citations

Cummins, Ronan. (2017). Improved Query-Topic Models Using Pseudo-Relevant Pólya Document Models. 101–108. 3 indexed citations

Cummins, Ronan, Meng Zhang, & Ted Briscoe. (2016). Constrained Multi-Task Learning for Automated Essay Scoring. Apollo (University of Cambridge). 789–799. 47 indexed citations

Cummins, Ronan, Helen Yannakoudakis, & Ted Briscoe. (2016). Unsupervised Modeling of Topical Relevance in L2 Learner Text. 6 indexed citations

Cummins, Ronan. (2015). Clinical Decision Support with the SPUD Language Model.. Text REtrieval Conference. 5 indexed citations

Cummins, Ronan, Jiaul H. Paik, & Yuanhua Lv. (2015). A Pólya Urn Document Language Model for Improved Information Retrieval. ACM Transactions on Information Systems. 33(4). 1–34. 20 indexed citations

Cummins, Ronan. (2014). Document Score Distribution Models for Query Performance Inference and Prediction. ACM Transactions on Information Systems. 32(1). 1–28. 20 indexed citations

10.

Zhou, Ke, Ronan Cummins, Mounia Lalmas, & Joemon M. Jose. (2013). Which Vertical Search Engines are Relevant? Understanding Vertical Relevance Assessments for Web Queries. 2 indexed citations

11.

Zhou, Ke, Mounia Lalmas, Tetsuya Sakai, Ronan Cummins, & Joemon M. Jose. (2013). On the reliability and intuitiveness of aggregated search metrics. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 689–698. 7 indexed citations

12.

Cummins, Ronan. (2012). On the inference of average precision from score distributions. 2435–2438. 4 indexed citations

13.

Zhou, Ke, Ronan Cummins, Mounia Lalmas, & Joemon M. Jose. (2011). Evaluating large-scale distributed vertical search. 9–14. 9 indexed citations

14.

Cummins, Ronan, Mounia Lalmas, & Colm O’Riordan. (2010). Examining the information retrieval process from an inductive perspective. Greenwich Academic Literature Archive (University of Greenwich). 89–98. 1 indexed citations

15.

Cummins, Ronan & Colm O’Riordan. (2009). Learning in a pairwise term-term proximity framework for information retrieval. Greenwich Academic Literature Archive (University of Greenwich). 251–258. 37 indexed citations

16.

Cummins, Ronan & Colm O’Riordan. (2008). DERI at TREC 2008 Enterprise Search Track. Text REtrieval Conference. 1 indexed citations

17.

Cummins, Ronan & Colm O’Riordan. (2006). Term-Weighting in Information Retrieval using Genetic Programming: A three stage process. European Conference on Artificial Intelligence. 793–794. 4 indexed citations

18.

Cummins, Ronan & Colm O’Riordan. (2006). Evolving local and global weighting schemes in information retrieval. Information Retrieval. 9(3). 311–330. 27 indexed citations

19.

Cummins, Ronan & Colm O’Riordan. (2005). Evolving General Term-Weighting Schemes for Information Retrieval: Tests on Larger Collections. Artificial Intelligence Review. 24(3-4). 277–299. 10 indexed citations

20.

Polgar, Tibor T., et al.. (1985). Investigation of Relationships among Pollutant Loadings and Fish Stock Levels in Northeastern Estuaries. Estuaries. 8(2). 125–125. 19 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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