Sam Ganzfried

614 citations
24 papers · 264 indexed · h-index 8
Topics
Artificial Intelligence in Games (19 papers)Game Theory and Applications (11 papers)Sports Analytics and Performance (8 papers)
Partner nations
United StatesFranceChina

In The Last Decade

Sam Ganzfried

23 papers receiving 235 citations

Peers

Sam Ganzfried
Comparison fields: 5 of 54
  • Artificial Intelligence 160
  • Management Science and Operations Research 76
  • Economics and Econometrics 75
  • Atmospheric Science 55
  • Clinical Psychology 44
Replace Silvia Bianconcini with:
Silvia Bianconcini Italy
John A. Flueck United States
Man-Suk Oh South Korea
Tilottama Mukherjee India
Diego I. Gallardo Chile
Khairil Anwar Notodiputro Indonesia
Hans Arnfinn Karlsen Norway
Cláudia Neves Portugal
Soutir Bandyopadhyay United States
Gianna Agrò Italy
Sam Ganzfried relative to Silvia Bianconcini Italy Silvia Bianconcini's profile →
Citations per field
00.5×11×
Silvia Bianconcini · 1×
Citations per year

Countries citing papers authored by Sam Ganzfried

Since Specialization
Citations

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

Fields of papers citing papers by Sam Ganzfried

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sam Ganzfried

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 3
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5 3
6 4
7 1
8 1
9 1
10 24
11 7
12 4
13 17
14
Action Translation in Extensive-Form Games with Large Action Spaces: Axioms, Paradoxes, and the Pseudo-Harmonic Mapping
5
15
Improving Performance in Imperfect-Information Games with Large State and Action Spaces by Solving Endgames
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16 16
17 43
18 2
19 13
20 15

About Sam Ganzfried

Sam Ganzfried is a scholar working on Management Science and Operations Research, Artificial Intelligence and Economics and Econometrics, having authored 24 papers that have together received 264 indexed citations. Recurring topics across this work include Artificial Intelligence in Games (19 papers), Game Theory and Applications (11 papers) and Sports Analytics and Performance (8 papers). The work is most often cited by research in Management Science and Operations Research (76 citations), Artificial Intelligence (160 citations) and Atmospheric Science (55 citations). Sam Ganzfried has collaborated with scholars based in United States, France and China. Frequent co-authors include Tüomas Sandholm, Noam Brown and Kevin Waugh. Their work appears in journals such as AI Magazine, Education Sciences and Games.

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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