Ronan Cummins

964 citations
39 papers · 537 · h-index 13

Impact in

Papers in

    • Topic Modeling 14
    • Natural Language Processing Techniques 5
    • Advanced Text Analysis Techniques 4
    • Information Retrieval and Search Behavior 21
    • Web Data Mining and Analysis 8

Ronan Cummins

39 papers receiving 510 citations

Peers

Ronan Cummins
Comparison fields: 5 of 68
  • Applied Psychology 64
  • Information Systems 240
  • Artificial Intelligence 276
  • Health Informatics 10
  • Computer Vision and Pattern Recognition 88
Replace Shoaib Jameel with:
Shoaib Jameel United Kingdom
Gaël Dias Portugal
Braja Gopal Patra United States
Mary Swift United States
Ugur Kursuncu United States
Rodney D. Nielsen United States
Emily Dinan Israel
Chujie Zheng China
Justyna Sarzyńska‐Wawer Poland
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Ronan Cummins, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ronan Cummins Line = papers co-authored together Ronan Cummins links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201973
2 201647
3 201145
4 200937
5 201230
6 200627
7 202027
8 201527
9 201420
10 201520
11 198519
12 201315
13 201213
14 200712
15 201212
16 201911
17 200610
18 200510
19 20119
20 19867

About Ronan Cummins

Ronan Cummins is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Applied Psychology and Management Science and Operations Research, having authored 39 papers that have together received 537 indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (21 papers), Topic Modeling (14 papers), Web Data Mining and Analysis (8 papers), Natural Language Processing Techniques (5 papers), Data Quality and Management (5 papers), Digital Mental Health Interventions (5 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Advanced Text Analysis Techniques (4 papers). The work is most often cited by research in Applied Psychology (64 citations), Information Systems (240 citations), Artificial Intelligence (276 citations), Health Informatics (10 citations) and Computer Vision and Pattern Recognition (88 citations). Ronan Cummins has collaborated with scholars based in United Kingdom, Ireland and Spain. Frequent co-authors include Colm O’Riordan, Joemon M. Jose, Mounia Lalmas, Ted Briscoe, Valentin Tablan, Michael Ewbank, Ana Catarino, Helen Yannakoudakis, Meng Zhang and Ke Zhou. Their work appears in journals such as Artificial Intelligence Review, ACM Transactions on Information Systems, Journal of Medical Internet Research, Psychotherapy Research and Journal of Affective Disorders.

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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