Sam Snodgrass

924 total citations
31 papers, 424 citations indexed

About

Sam Snodgrass is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Sociology and Political Science. According to data from OpenAlex, Sam Snodgrass has authored 31 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 17 papers in Computer Vision and Pattern Recognition and 11 papers in Sociology and Political Science. Recurrent topics in Sam Snodgrass's work include Artificial Intelligence in Games (21 papers), Video Analysis and Summarization (15 papers) and Digital Games and Media (11 papers). Sam Snodgrass is often cited by papers focused on Artificial Intelligence in Games (21 papers), Video Analysis and Summarization (15 papers) and Digital Games and Media (11 papers). Sam Snodgrass collaborates with scholars based in United States, Mexico and Canada. Sam Snodgrass's co-authors include Santiago Ontañón, Adam Summerville, Casper Harteveld, Sebastian Risi, Ahmed Khalifa, Jialin Liu, Georgios N. Yannakakis, Julian Togelius, Gillian Smith and Levi H. S. Lelis and has published in prestigious journals such as Neural Computing and Applications, IEEE Transactions on Computational Intelligence and AI in Games and IEEE Transactions on Games.

In The Last Decade

Sam Snodgrass

30 papers receiving 403 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sam Snodgrass United States 12 293 214 162 88 63 31 424
Ahmed Khalifa United States 12 360 1.2× 158 0.7× 200 1.2× 92 1.0× 61 1.0× 39 477
Joris Dormans Netherlands 8 249 0.8× 80 0.4× 253 1.6× 179 2.0× 26 0.4× 14 422
Mike Treanor United States 13 419 1.4× 128 0.6× 334 2.1× 159 1.8× 60 1.0× 29 513
Johan Hagelbäck Sweden 10 281 1.0× 115 0.5× 117 0.7× 76 0.9× 30 0.5× 24 347
Ben Weber United States 9 408 1.4× 118 0.6× 177 1.1× 85 1.0× 26 0.4× 17 475
Kazi A. Zaman United States 8 97 0.3× 131 0.6× 38 0.2× 45 0.5× 100 1.6× 17 274
Marian F. Ursu United Kingdom 13 81 0.3× 252 1.2× 294 1.8× 24 0.3× 23 0.4× 50 475
Steven J. Mead United Kingdom 10 356 1.2× 155 0.7× 164 1.0× 66 0.8× 152 2.4× 27 490
Stephen Lee-Urban United States 9 274 0.9× 77 0.4× 72 0.4× 52 0.6× 26 0.4× 13 324
Jeff Orkin United States 8 311 1.1× 103 0.5× 60 0.4× 34 0.4× 57 0.9× 17 388

Countries citing papers authored by Sam Snodgrass

Since Specialization
Citations

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

Fields of papers citing papers by Sam Snodgrass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sam Snodgrass

This figure shows the co-authorship network connecting the top 25 collaborators of Sam Snodgrass. A scholar is included among the top collaborators of Sam Snodgrass 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 Snodgrass. Sam Snodgrass 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
1.
Guzdial, Matthew, Sam Snodgrass, & Adam Summerville. (2022). Procedural Content Generation via Machine Learning. 10 indexed citations
2.
3.
Summerville, Adam, et al.. (2020). Exploring Level Blending across Platformers via Paths and Affordances. arXiv (Cornell University). 16(1). 280–286. 2 indexed citations
4.
Liu, Jialin, Sam Snodgrass, Ahmed Khalifa, et al.. (2020). Deep learning for procedural content generation. Neural Computing and Applications. 33(1). 19–37. 76 indexed citations
5.
6.
Holmgård, Christoffer, et al.. (2019). Gamifying psychological assessment. 1–12. 9 indexed citations
7.
Snodgrass, Sam. (2019). Levels from Sketches with Example-Driven Binary Space Partition. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 15(1). 73–79. 2 indexed citations
8.
Snodgrass, Sam, et al.. (2019). Towards a generalized player model through the PEAS framework. 1–7. 5 indexed citations
9.
Snodgrass, Sam. (2018). Towards Automatic Extraction of Tile Types from Level Images.. 2 indexed citations
10.
Ontañón, Santiago, Yi‐Ching Lee, Sam Snodgrass, Flaura K. Winston, & Avelino J. González. (2017). Learning to Predict Driver Behavior from Observation.. Journal of International Crisis and Risk Communication Research. 7 indexed citations
11.
Snodgrass, Sam, Adam Summerville, & Santiago Ontañón. (2017). Studying the Effects of Training Data on Machine Learning-Based Procedural Content Generation. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 13(1). 122–128. 7 indexed citations
12.
Snodgrass, Sam & Santiago Ontañón. (2017). Player movement models for platformer game level generation. International Joint Conference on Artificial Intelligence. 757–763. 2 indexed citations
13.
Snodgrass, Sam & Santiago Ontañón. (2017). Procedural level generation using multi-layer level representations with MdMCs. 280–287. 11 indexed citations
14.
Snodgrass, Sam & Santiago Ontañón. (2016). Controllable procedural content generation via constrained multi-dimensional Markov chain sampling. International Joint Conference on Artificial Intelligence. 780–786. 24 indexed citations
15.
Snodgrass, Sam & Santiago Ontañón. (2016). An Approach to Domain Transfer in Procedural Content Generation of Two-Dimensional Videogame Levels. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 12(1). 79–85. 10 indexed citations
16.
Snodgrass, Sam & Santiago Ontañón. (2016). Learning to Generate Video Game Maps Using Markov Models. IEEE Transactions on Computational Intelligence and AI in Games. 9(4). 410–422. 45 indexed citations
17.
Snodgrass, Sam & Santiago Ontañón. (2015). A Hierarchical MdMC Approach to 2D Video Game Map Generation. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 11(1). 205–211. 20 indexed citations
18.
Snodgrass, Sam & Santiago Ontañón. (2014). A Hierarchical Approach to Generating Maps Using Markov Chains. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 10(1). 59–65. 11 indexed citations
19.
Snodgrass, Sam & Santiago Ontañón. (2014). Experiments in map generation using Markov chains.. Foundations of Digital Games. 37 indexed citations
20.
Snodgrass, Sam & Santiago Ontañón. (2013). Generating Maps Using Markov Chains. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 9(2). 25–28. 11 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Ahmed Khalifa Breakdown of academic impact, for papers by Joris Dormans Breakdown of academic impact, for papers by Mike Treanor Breakdown of academic impact, for papers by Johan Hagelbäck Breakdown of academic impact, for papers by Ben Weber Breakdown of academic impact, for papers by Kazi A. Zaman Breakdown of academic impact, for papers by Marian F. Ursu Breakdown of academic impact, for papers by Steven J. Mead Breakdown of academic impact, for papers by Stephen Lee-Urban Breakdown of academic impact, for papers by Jeff Orkin
Rankless by CCL
2026