Nate Kohl

1.3k total citations
12 papers, 720 citations indexed

About

Nate Kohl is a scholar working on Artificial Intelligence, Biomedical Engineering and Automotive Engineering. According to data from OpenAlex, Nate Kohl has authored 12 papers receiving a total of 720 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 3 papers in Biomedical Engineering and 2 papers in Automotive Engineering. Recurrent topics in Nate Kohl's work include Reinforcement Learning in Robotics (7 papers), Evolutionary Algorithms and Applications (6 papers) and Neural Networks and Applications (4 papers). Nate Kohl is often cited by papers focused on Reinforcement Learning in Robotics (7 papers), Evolutionary Algorithms and Applications (6 papers) and Neural Networks and Applications (4 papers). Nate Kohl collaborates with scholars based in United States. Nate Kohl's co-authors include Peter Stone, Risto Miikkulainen, Kenneth O. Stanley, Shimon Whiteson, Rini Sherony, Risto Miikkulainen, Gregory Kuhlmann, Nicholas K. Jong and Mohan Sridharan and has published in prestigious journals such as IEEE Transactions on Evolutionary Computation, Neural Networks and Machine Learning.

In The Last Decade

Nate Kohl

11 papers receiving 669 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nate Kohl United States	10	481	194	155	109	62	12	720
Danijar Hafner United States	8	298 0.6×	202 1.0×	188 1.2×	136 1.2×	64 1.0×	15	607
Asim Munawar Japan	14	251 0.5×	97 0.5×	182 1.2×	156 1.4×	25 0.4×	66	706
Athanasios Polydoros Denmark	8	436 0.9×	153 0.8×	484 3.1×	139 1.3×	38 0.6×	11	932
Julian Ibarz United States	6	318 0.7×	139 0.7×	337 2.2×	142 1.3×	40 0.6×	11	635
Yevgen Chebotar United States	11	449 0.9×	262 1.4×	370 2.4×	277 2.5×	40 0.6×	15	935
Xiaogang Ruan China	13	207 0.4×	109 0.6×	299 1.9×	299 2.7×	147 2.4×	163	774
Judy A. Franklin United States	7	210 0.4×	209 1.1×	306 2.0×	83 0.8×	17 0.3×	27	534
Eiichi Osawa Japan	6	365 0.8×	73 0.4×	138 0.9×	273 2.5×	114 1.8×	10	735
Reinaldo A. C. Bianchi Brazil	14	250 0.5×	54 0.3×	93 0.6×	88 0.8×	38 0.6×	64	515
Scott Niekum United States	15	469 1.0×	124 0.6×	527 3.4×	240 2.2×	59 1.0×	45	900

Countries citing papers authored by Nate Kohl

Since Specialization

Citations

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

Fields of papers citing papers by Nate Kohl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nate Kohl

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

All Works

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12 of 12 papers shown

1.

Kohl, Nate & Risto Miikkulainen. (2012). An Integrated Neuroevolutionary Approach to Reactive Control and High-Level Strategy. IEEE Transactions on Evolutionary Computation. 16(4). 472–488. 11 indexed citations

2.

Kohl, Nate & Risto Miikkulainen. (2009). Evolving neural networks for strategic decision-making problems.

3.

Kohl, Nate & Risto Miikkulainen. (2009). Evolving neural networks for strategic decision-making problems. Neural Networks. 22(3). 326–337. 38 indexed citations

4.

Miikkulainen, Risto & Nate Kohl. (2009). Learning in fractured problems with constructive neural network algorithms. 5 indexed citations

5.

Kohl, Nate & Risto Miikkulainen. (2008). Evolving neural networks for fractured domains. 1405–1412. 12 indexed citations

6.

Stone, Peter, et al.. (2006). From pixels to multi-robot decision-making: A study in uncertainty. Robotics and Autonomous Systems. 54(11). 933–943. 11 indexed citations

7.

Kohl, Nate, et al.. (2006). Evolving a real-world vehicle warning system. Journal of International Crisis and Risk Communication Research. 1681–1688. 40 indexed citations

8.

Stanley, Kenneth O., Nate Kohl, Rini Sherony, & Risto Miikkulainen. (2005). Neuroevolution of an automobile crash warning system. 1977–1984. 37 indexed citations

9.

Whiteson, Shimon, Nate Kohl, Risto Miikkulainen, & Peter Stone. (2005). Evolving Soccer Keepaway Players Through Task Decomposition. Machine Learning. 59(1-2). 5–30. 60 indexed citations

10.

Whiteson, Shimon, Peter Stone, Kenneth O. Stanley, Risto Miikkulainen, & Nate Kohl. (2005). Automatic feature selection in neuroevolution. 1225–1232. 68 indexed citations

11.

Kohl, Nate & Peter Stone. (2004). Machine learning for fast quadrupedal locomotion. National Conference on Artificial Intelligence. 611–616. 92 indexed citations

12.

Kohl, Nate & Peter Stone. (2004). Policy gradient reinforcement learning for fast quadrupedal locomotion. 2619–2624 Vol.3. 346 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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