Jeremy Gow
- Artificial Intelligence top 1%
- Computational Theory and Mathematics top 1%
- Information Systems top 2%
- Computer Networks and Communications top 5%
- Software top 2%
- Co-authors
- Alan BundyLucas DixonJacques FleuriotSimon ColtonAnn BlandfordClaire WarwickGeorge BuchananJon Rimmer
- Topics
- Artificial Intelligence in Games (20 papers)Digital Games and Media (15 papers)Educational Games and Gamification (12 papers)
- Partner nations
- United KingdomUnited StatesDenmark
In The Last Decade
Jeremy Gow
36 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Artificial Intelligence 950
- Computational Theory and Mathematics 522
- Information Systems 391
- Computer Networks and Communications 313
- Software 276
Countries citing papers authored by Jeremy Gow
This map shows the geographic impact of Jeremy Gow'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 Jeremy Gow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeremy Gow more than expected).
Fields of papers citing papers by Jeremy Gow
This network shows the impact of papers produced by Jeremy Gow. 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 Jeremy Gow. The network helps show where Jeremy Gow may publish in the future.
Co-authorship network of co-authors of Jeremy Gow
This figure shows the co-authorship network connecting the top 25 collaborators of Jeremy Gow. A scholar is included among the top collaborators of Jeremy Gow 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 Jeremy Gow. Jeremy Gow is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 9 | |
| 4 | How Players Learn Team-versus-Team Esports : First Results from A Grounded Theory Study | 0 |
| 5 | 6 | |
| 6 | 7 | |
| 7 | Danesh: Helping Bridge The Gap Between Procedural Generators And Their Output | 14 |
| 8 | 31 | |
| 9 | 11 | |
| 10 | Automating fictional ideation using ConceptNet | 4 |
| 11 | Automating Game Design In Three Dimensions | 10 |
| 12 | Nobody's A Critic: On The Evaluation Of Creative Code Generators - A Case Study In Video Game Design. | 4 |
| 13 | 3 | |
| 14 | Experiments in Objet Trouvé Browsing. | 2 |
| 15 | Towards the automatic invention of simple mixed reality games | 0 |
| 16 | 9 | |
| 17 | 69 | |
| 18 | 52 | |
| 19 | 4 | |
| 20 | 2 |
About Jeremy Gow
Jeremy Gow is a scholar working on Developmental and Educational Psychology, Human-Computer Interaction and Artificial Intelligence, having authored 40 papers that have together received 1.8k indexed citations. Recurring topics across this work include Artificial Intelligence in Games (20 papers), Digital Games and Media (15 papers) and Educational Games and Gamification (12 papers). The work is most often cited by research in Software (276 citations), Computational Theory and Mathematics (522 citations) and Artificial Intelligence (950 citations). Jeremy Gow has collaborated with scholars based in United Kingdom, United States and Denmark. Frequent co-authors include Alan Bundy, Lucas Dixon, Jacques Fleuriot, Simon Colton, Ann Blandford, Claire Warwick, George Buchanan, Jon Rimmer, Michael Cook and Paul Cairns. Their work appears in journals such as Information Processing & Management, Journal of Documentation and Cognitive Computation.
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.