Mary Kiernan

28 total papers · 579 total citations
17 papers, 381 citations indexed

About

Mary Kiernan is a scholar working on Developmental and Educational Psychology, Computer Science Applications and Surgery. According to data from OpenAlex, Mary Kiernan has authored 17 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Developmental and Educational Psychology, 7 papers in Computer Science Applications and 2 papers in Surgery. Recurrent topics in Mary Kiernan's work include Educational Games and Gamification (7 papers), Teaching and Learning Programming (7 papers) and Innovative Teaching and Learning Methods (6 papers). Mary Kiernan is often cited by papers focused on Educational Games and Gamification (7 papers), Teaching and Learning Programming (7 papers) and Innovative Teaching and Learning Methods (6 papers). Mary Kiernan collaborates with scholars based in United Kingdom, Ireland and United States. Mary Kiernan's co-authors include Liz Bacon, Cagin Kazimoglu, Lachlan MacKinnon, Eoin F. Gaffney, Shaun R. McCann, Barry Bresnihan, Peter Thomas, Michał Podpora and Aleksandra Kawala‐Sterniuk and has published in prestigious journals such as The Journal of Urology, Journal of the American Oil Chemists Society and Histopathology.

In The Last Decade

Mary Kiernan

16 papers receiving 349 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mary Kiernan 300 234 52 43 35 17 381
Yihuan Dong 363 1.2× 183 0.8× 89 1.7× 108 2.5× 54 1.5× 25 429
Stephen R. Foster 136 0.5× 107 0.5× 74 1.4× 34 0.8× 24 0.7× 20 412
Cagin Kazimoglu 327 1.1× 265 1.1× 58 1.1× 46 1.1× 37 1.1× 10 381
Amanda Peel 183 0.6× 158 0.7× 18 0.3× 37 0.9× 183 5.2× 25 430
Nataša Grgurina 284 0.9× 124 0.5× 56 1.1× 36 0.8× 72 2.1× 14 333
Mark van Harmelen 120 0.4× 146 0.6× 141 2.7× 51 1.2× 147 4.2× 17 402
Linlin Hu 335 1.1× 187 0.8× 67 1.3× 41 1.0× 76 2.2× 18 415
Eloy D. Villasclaras-Fernández 217 0.7× 225 1.0× 99 1.9× 39 0.9× 108 3.1× 20 397
Maria Knobelsdorf 314 1.0× 184 0.8× 72 1.4× 25 0.6× 80 2.3× 28 410
Meng-Leong How 124 0.4× 59 0.3× 66 1.3× 76 1.8× 41 1.2× 16 353

Countries citing papers authored by Mary Kiernan

Since Specialization
Citations

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

Fields of papers citing papers by Mary Kiernan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mary Kiernan

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

All Works

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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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