Sam Snodgrass

36 papers receiving 452 citations

Peers

Sam Snodgrass
Comparison fields: 5 of 61
  • Computer Vision and Pattern Recognition 228
  • Computer Graphics and Computer-Aided Design 36
  • Artificial Intelligence 322
  • Computer Science Applications 48
  • Developmental and Educational Psychology 95
Replace Ahmed Khalifa with:
Ahmed Khalifa United States
Amy K. Hoover United States
Joris Dormans Netherlands
Adam Summerville United States
José Font Sweden
Mike Treanor United States
Nektarios Moumoutzis Greece
Robin Baumgarten United Kingdom
Tobias Mahlmann Denmark
Xinhuan Shu China
Sam Snodgrass relative to Ahmed Khalifa United States Ahmed Khalifa's profile →
Citations per field
00.5×4.4×
Ahmed Khalifa · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Sam Snodgrass, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sam Snodgrass Line = papers co-authored together Sam Snodgrass links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202086
2 201650
3
Experiments in map generation using Markov chains.
201439
4 201937
5 201725
6
Controllable procedural content generation via constrained multi-dimensional Markov chain sampling
201624
7 201521
8 202015
9 202014
10 201812
11 201912
12 201412
13 202011
14 201711
15 201311
16 202211
17 201610
18 20199
19
Learning to Predict Driver Behavior from Observation.
20178
20 20188

About Sam Snodgrass

Sam Snodgrass is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Sociology and Political Science, Developmental and Educational Psychology and Control and Systems Engineering, having authored 38 papers that have together received 474 indexed citations. Recurring topics across this work include Artificial Intelligence in Games (23 papers), Video Analysis and Summarization (16 papers), Digital Games and Media (12 papers), Educational Games and Gamification (8 papers), Human Motion and Animation (5 papers), Natural Language Processing Techniques (4 papers), Computer Graphics and Visualization Techniques (3 papers) and Evacuation and Crowd Dynamics (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (228 citations), Computer Graphics and Computer-Aided Design (36 citations), Artificial Intelligence (322 citations), Computer Science Applications (48 citations) and Developmental and Educational Psychology (95 citations). Sam Snodgrass has collaborated with scholars based in United States, Denmark and Mexico. Frequent co-authors include Santiago Ontañón, Adam Summerville, Casper Harteveld, Ahmed Khalifa, Jialin Liu, Georgios N. Yannakakis, Sebastian Risi, Julian Togelius, Gillian Smith and Levi H. S. Lelis. Their work appears in journals such as Neural Computing and Applications, IEEE Transactions on Computational Intelligence and AI in Games, Lecture notes in computer science, IEEE Transactions on Games and Foundations of Digital 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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