Michael Cerny Green

503 total citations
10 papers, 109 citations indexed

About

Michael Cerny Green is a scholar working on Artificial Intelligence, Sociology and Political Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Michael Cerny Green has authored 10 papers receiving a total of 109 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Sociology and Political Science and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Michael Cerny Green's work include Artificial Intelligence in Games (8 papers), Digital Games and Media (4 papers) and Educational Games and Gamification (2 papers). Michael Cerny Green is often cited by papers focused on Artificial Intelligence in Games (8 papers), Digital Games and Media (4 papers) and Educational Games and Gamification (2 papers). Michael Cerny Green collaborates with scholars based in United States, Malta and United Kingdom. Michael Cerny Green's co-authors include Julian Togelius, Ahmed Khalifa, Sébastien Matringe, Luis Cueto‐Felgueroso, Diego Pérez-Liébana, Christoph Salge, Antonios Liapis, M Charity, Christian Guckelsberger and Philip Bontrager and has published in prestigious journals such as Scientific Reports, KI - Künstliche Intelligenz and arXiv (Cornell University).

In The Last Decade

Michael Cerny Green

9 papers receiving 105 citations

Peers

Michael Cerny Green

AI

SNP

SPS

CVPR

CM

Philipp Petersen Austria

Dmitrii Marin Canada

Yingtao Luo China

Jakob Kruse Germany

Jeffrey De Fauw United States

Yuansi Chen United States

Niccolò Dal Santo Switzerland

Wilhelm Forst Germany

Zigang Yang United States

Yoni Kasten Israel

Philipp Petersen Austria

Michael Cerny Green

29 ×0.6

AI

25 ×0.6

SNP

0 ×0.0

SPS

30 ×1.4

CVPR

21 ×1.1

CM

Citations per year, relative to Michael Cerny Green Michael Cerny Green (= 1×) peers Philipp Petersen

Countries citing papers authored by Michael Cerny Green

Since Specialization

Citations

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

Fields of papers citing papers by Michael Cerny Green

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Cerny Green. 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 Michael Cerny Green. The network helps show where Michael Cerny Green may publish in the future.

Co-authorship network of co-authors of Michael Cerny Green

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

All Works

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10 of 10 papers shown

1.

Cueto‐Felgueroso, Luis, et al.. (2022). Physics-informed attention-based neural network for hyperbolic partial differential equations: application to the Buckley–Leverett problem. Scientific Reports. 12(1). 7557–7557. 53 indexed citations

2.

Green, Michael Cerny, et al.. (2022). Predicting Personas Using Mechanic Frequencies and Game State Traces. 1–8. 3 indexed citations

3.

Green, Michael Cerny, et al.. (2022). Persona-driven Dominant/Submissive Map (PDSM) Generation for Tutorials. 1–10.

4.

Khalifa, Ahmed, Julian Togelius, & Michael Cerny Green. (2022). Mutation Models: Learning to Generate Levels by Imitating Evolution. 1–9. 7 indexed citations

5.

Green, Michael Cerny, et al.. (2021). Game Mechanic Alignment Theory. 1–11. 1 indexed citations

6.

Salge, Christoph, et al.. (2020). The AI Settlement Generation Challenge in Minecraft. KI - Künstliche Intelligenz. 34(1). 19–31. 17 indexed citations

7.

Green, Michael Cerny, et al.. (2019). Two-step constructive approaches for dungeon generation. OAR@UM (University of Malta). 6 indexed citations

8.

Salge, Christoph, et al.. (2019). Generative Design in Minecraft: Chronicle Challenge. 311–315. 1 indexed citations

9.

Green, Michael Cerny, et al.. (2018). "Press Space to Fire": Automatic Video Game Tutorial Generation. arXiv (Cornell University). 3 indexed citations

10.

Khalifa, Ahmed, Michael Cerny Green, Diego Pérez-Liébana, & Julian Togelius. (2017). General video game rule generation. 170–177. 18 indexed citations

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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