T.A. Marsland
- Artificial Intelligence top 2%
- Economics and Econometrics top 5%
- Computer Networks and Communications top 5%
- Sociology and Political Science top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Murray CampbellA. ReinefeldZhonghua YangFred PopowichJonathan SchaefferYngvi BjörnssonAlexander ReinefeldIan Frank
- Topics
- Artificial Intelligence in Games (34 papers)Sports Analytics and Performance (20 papers)Digital Games and Media (9 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceACM Computing SurveysInformation Sciences
- Partner nations
- CanadaGermanyUnited States
In The Last Decade
T.A. Marsland
55 papers receiving 536 citations
Peers
Comparison fields: 5 of 50
- Artificial Intelligence 515
- Economics and Econometrics 222
- Computer Networks and Communications 186
- Sociology and Political Science 141
- Computer Vision and Pattern Recognition 105
Countries citing papers authored by T.A. Marsland
This map shows the geographic impact of T.A. Marsland'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 T.A. Marsland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.A. Marsland more than expected).
Fields of papers citing papers by T.A. Marsland
This network shows the impact of papers produced by T.A. Marsland. 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 T.A. Marsland. The network helps show where T.A. Marsland may publish in the future.
Co-authorship network of co-authors of T.A. Marsland
This figure shows the co-authorship network connecting the top 25 collaborators of T.A. Marsland. A scholar is included among the top collaborators of T.A. Marsland 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 T.A. Marsland. T.A. Marsland is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 5 | |
| 3 | Learning Control of Search Extensions. | 2 |
| 4 | Selective depth-first game-tree search | 11 |
| 5 | 12 | |
| 6 | 5 | |
| 7 | The anatomy of chess programs | 1 |
| 8 | Diminishing Returns for Additional Search in Chess | 4 |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 17 | |
| 12 | COMPUTER CHESS AND SEARCH | 13 |
| 13 | 3 | |
| 14 | 4 | |
| 15 | Multiprocessor tree-search experiments | 16 |
| 16 | 3 | |
| 17 | The utility of expert knowledge | 3 |
| 18 | 3 | |
| 19 | 8 | |
| 20 | Relative efficiency of alpha-beta implementations | 22 |
About T.A. Marsland
T.A. Marsland is a scholar working on Hardware and Architecture, Artificial Intelligence and Economics and Econometrics, having authored 61 papers that have together received 668 indexed citations. Recurring topics across this work include Artificial Intelligence in Games (34 papers), Sports Analytics and Performance (20 papers) and Digital Games and Media (9 papers). The work is most often cited by research in Artificial Intelligence (515 citations), Hardware and Architecture (95 citations) and Computer Networks and Communications (186 citations). T.A. Marsland has collaborated with scholars based in Canada, Germany and United States. Frequent co-authors include Murray Campbell, A. Reinefeld, Zhonghua Yang, Fred Popowich, Jonathan Schaeffer, Yngvi Björnsson, Alexander Reinefeld, Ian Frank, Michael Buro and Liwu Li. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Computing Surveys and Information Sciences.
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.