Hans Berliner
- Artificial Intelligence top 5%
- Economics and Econometrics top 10%
- Sociology and Political Science
- Developmental and Educational Psychology top 10%
- Computer Vision and Pattern Recognition
- Topics
- Artificial Intelligence in Games (28 papers)Sports Analytics and Performance (12 papers)Educational Games and Gamification (10 papers)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Hans Berliner
31 papers receiving 371 citations
Peers
Comparison fields: 5 of 60
- Artificial Intelligence 362
- Economics and Econometrics 152
- Sociology and Political Science 82
- Developmental and Educational Psychology 75
- Computer Vision and Pattern Recognition 52
Countries citing papers authored by Hans Berliner
This map shows the geographic impact of Hans Berliner'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 Hans Berliner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hans Berliner more than expected).
Fields of papers citing papers by Hans Berliner
This network shows the impact of papers produced by Hans Berliner. 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 Hans Berliner. The network helps show where Hans Berliner may publish in the future.
Co-authorship network of co-authors of Hans Berliner
This figure shows the co-authorship network connecting the top 25 collaborators of Hans Berliner. A scholar is included among the top collaborators of Hans Berliner 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 Hans Berliner. Hans Berliner 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 | 0 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | Computer game playing | 9 |
| 8 | HITECH Wins Chess Tourney | 1 |
| 9 | 6 | |
| 10 | Computer chess at Carnegie-Mellon University | 2 |
| 11 | A study of search methods: the effect of constraint satisfaction and adventurousness | 1 |
| 12 | A chess program that chunks | 1 |
| 13 | The QBKG system: generating explanations from a non-discrete knowledge representation | 9 |
| 14 | 1 | |
| 15 | 15 | |
| 16 | On the construction of evaluation functions for large domains | 31 |
| 17 | Experiences in evaluation with BKG: a program that plays backgammon | 13 |
| 18 | Panel on computer game playing | 1 |
| 19 | 1 | |
| 20 | Some necessary conditions for a master chess program | 35 |
About Hans Berliner
Hans Berliner is a scholar working on Developmental and Educational Psychology, Artificial Intelligence and Economics and Econometrics, having authored 40 papers that have together received 452 indexed citations. Recurring topics across this work include Artificial Intelligence in Games (28 papers), Sports Analytics and Performance (12 papers) and Educational Games and Gamification (10 papers). The work is most often cited by research in Artificial Intelligence (362 citations), Developmental and Educational Psychology (75 citations) and Economics and Econometrics (152 citations). Hans Berliner has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Carl Ebeling, Murray Campbell, David H. Ackley, Jefferey Shufelt and Arthur L. Samuel. Their work appears in journals such as Artificial Intelligence, Scientific American and Theoretical Computer Science.
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.