Jacob Schrum

688 total citations
23 papers, 315 citations indexed

About

Jacob Schrum is a scholar working on Artificial Intelligence, Sociology and Political Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jacob Schrum has authored 23 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 4 papers in Sociology and Political Science and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jacob Schrum's work include Reinforcement Learning in Robotics (15 papers), Artificial Intelligence in Games (13 papers) and Evolutionary Algorithms and Applications (12 papers). Jacob Schrum is often cited by papers focused on Reinforcement Learning in Robotics (15 papers), Artificial Intelligence in Games (13 papers) and Evolutionary Algorithms and Applications (12 papers). Jacob Schrum collaborates with scholars based in United States, Denmark and Germany. Jacob Schrum's co-authors include Risto Miikkulainen, Sebastian Risi, Vanessa Volz, Adam M. Smith, Jialin Liu, Simon M. Lucas, Lauren Gillespie, Joel Lehman, Junhwan Choi and Tyler McDonnell and has published in prestigious journals such as Evolutionary Computation, IEEE Transactions on Computational Intelligence and AI in Games and arXiv (Cornell University).

In The Last Decade

Jacob Schrum

22 papers receiving 294 citations

Peers

Jacob Schrum

AI

CVPR

SPS

DEP

CSE

Pengcheng Wang China

Themis Panayiotopoulos Greece

David Harlan Wood United States

Matthew C. Fontaine United States

Luca Rossetto Switzerland

Siming He China

Tim Lammarsch Austria

Kay Cohen

Alaa Hamouda Egypt

M. Bett United States

Pengcheng Wang China

Jacob Schrum

125 ×0.5

AI

121 ×1.2

CVPR

20 ×0.2

SPS

12 ×0.4

DEP

13 ×0.5

CSE

Citations per year, relative to Jacob Schrum Jacob Schrum (= 1×) peers Pengcheng Wang

Countries citing papers authored by Jacob Schrum

Since Specialization

Citations

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

Fields of papers citing papers by Jacob Schrum

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacob Schrum

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

All Works

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20 of 20 papers shown

1.

Schrum, Jacob, Vanessa Volz, & Sebastian Risi. (2020). CPPN2GAN. arXiv (Cornell University). 139–147. 9 indexed citations

2.

Schrum, Jacob, et al.. (2019). Desirable Behaviors for Companion Bots in First-Person Shooters. 1–8. 3 indexed citations

3.

Schrum, Jacob, et al.. (2019). Infinite Art Gallery: A Game World of Interactively Evolved Artwork. 474–481. 2 indexed citations

4.

Gillespie, Lauren, et al.. (2018). Querying across time to interactively evolve animations. Proceedings of the Genetic and Evolutionary Computation Conference. 213–220. 3 indexed citations

5.

Schrum, Jacob, Vanessa Volz, Simon M. Lucas, et al.. (2018). Evolving mario levels in the latent space of a deep convolutional generative adversarial network. 131 indexed citations

6.

Schrum, Jacob. (2018). Evolving indirectly encoded convolutional neural networks to play tetris with low-level features. Proceedings of the Genetic and Evolutionary Computation Conference. 205–212. 4 indexed citations

7.

Schrum, Jacob, et al.. (2017). Balancing selection pressures, multiple objectives, and neural modularity to coevolve cooperative agent behavior. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 75–76. 1 indexed citations

8.

Schrum, Jacob, Joel Lehman, & Sebastian Risi. (2016). Automatic Evolution of Multimodal Behavior with Multi-Brain HyperNEAT. IT University Of Copenhagen (IT University of Copenhagen). 21–22. 2 indexed citations

9.

Schrum, Jacob & Risto Miikkulainen. (2016). Solving Multiple Isolated, Interleaved, and Blended Tasks through Modular Neuroevolution. Evolutionary Computation. 24(3). 459–490. 7 indexed citations

10.

Schrum, Jacob & Risto Miikkulainen. (2015). Discovering Multimodal Behavior in Ms. Pac-Man Through Evolution of Modular Neural Networks. IEEE Transactions on Computational Intelligence and AI in Games. 8(1). 67–81. 22 indexed citations

11.

Schrum, Jacob. (2015). Evolving multimodal behavior through modular multiobjective neuroevolution. 7(2-3). 30–32. 2 indexed citations

12.

Schrum, Jacob & Risto Miikkulainen. (2015). Solving Interleaved and Blended Sequential Decision-Making Problems through Modular Neuroevolution. 345–352. 1 indexed citations

13.

Schrum, Jacob & Risto Miikkulainen. (2014). Evolving multimodal behavior with modular neural networks in Ms. Pac-Man. 325–332. 26 indexed citations

14.

Schrum, Jacob & Risto Miikkulainen. (2012). Evolving Multimodal Networks for Multitask Games. IEEE Transactions on Computational Intelligence and AI in Games. 4(2). 94–111. 16 indexed citations

15.

Schrum, Jacob, et al.. (2011). UT⁁2: Human-like behavior via neuroevolution of combat behavior and replay of human traces. 329–336. 18 indexed citations

16.

Schrum, Jacob & Risto Miikkulainen. (2011). Evolving multimodal networks for multitask games. 13. 102–109. 2 indexed citations

17.

Schrum, Jacob & Risto Miikkulainen. (2010). Evolving agent behavior in multiobjective domains using fitness-based shaping. 439–446. 17 indexed citations

18.

Schrum, Jacob & Risto Miikkulainen. (2009). Evolving multi-modal behavior in NPCs. 325–332. 11 indexed citations

19.

Schrum, Jacob & Risto Miikkulainen. (2008). Constructing Complex NPC Behavior via Multi-Objective Neuroevolution. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 4(1). 108–113. 18 indexed citations

20.

Schrum, Jacob. (2008). Competition Between Reinforcement Learning Methods in a Predator-Prey Grid World. 1 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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