Christian J. Darken

4.8k total citations · 1 hit paper
36 papers, 3.3k citations indexed

About

Christian J. Darken is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Christian J. Darken has authored 36 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 8 papers in Control and Systems Engineering. Recurrent topics in Christian J. Darken's work include Artificial Intelligence in Games (7 papers), Robotic Path Planning Algorithms (7 papers) and Neural Networks and Applications (6 papers). Christian J. Darken is often cited by papers focused on Artificial Intelligence in Games (7 papers), Robotic Path Planning Algorithms (7 papers) and Neural Networks and Applications (6 papers). Christian J. Darken collaborates with scholars based in United States, Canada and Germany. Christian J. Darken's co-authors include John Moody, N.I. Santoso, Russell Greiner, Eduardo D. Sontag, Leonid Gurvits, Gary M. Kuhn, Thomas Petsche, Stephen José Hanson, Tobias Scheffer and Neil C. Rowe and has published in prestigious journals such as Physical Review Letters, ACM Computing Surveys and Neural Computation.

In The Last Decade

Christian J. Darken

32 papers receiving 3.0k citations

Hit Papers

Fast Learning in Networks of Locally-Tuned Processing Units 1989 2026 2001 2013 1989 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christian J. Darken United States 9 2.1k 823 672 372 258 36 3.3k
Jihun Park South Korea 11 1.3k 0.6× 1.2k 1.5× 424 0.6× 164 0.4× 342 1.3× 51 3.2k
Ken-ichi Funahashi Japan 6 2.1k 1.0× 1.2k 1.5× 358 0.5× 261 0.7× 426 1.7× 10 3.6k
James Llinas United States 18 2.0k 1.0× 787 1.0× 744 1.1× 386 1.0× 465 1.8× 78 4.2k
Sung‐Kwun Oh South Korea 31 2.1k 1.0× 776 0.9× 533 0.8× 155 0.4× 328 1.3× 236 3.4k
P. A. Estévez Chile 28 1.4k 0.7× 243 0.3× 923 1.4× 394 1.1× 358 1.4× 131 3.5k
Andrew D. Back Australia 16 1.1k 0.5× 375 0.5× 1.1k 1.6× 490 1.3× 336 1.3× 42 2.9k
Wenbo Xu China 22 1.8k 0.9× 808 1.0× 482 0.7× 152 0.4× 649 2.5× 111 3.5k
John S. Denker United States 15 2.6k 1.3× 358 0.4× 2.1k 3.2× 441 1.2× 395 1.5× 20 4.8k
David B. Rosen United States 11 2.1k 1.0× 429 0.5× 731 1.1× 316 0.8× 252 1.0× 20 3.3k
Matthias Seeger Germany 30 3.0k 1.5× 1.1k 1.4× 1.1k 1.6× 556 1.5× 419 1.6× 60 5.7k

Countries citing papers authored by Christian J. Darken

Since Specialization
Citations

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

Fields of papers citing papers by Christian J. Darken

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christian J. Darken. 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 Christian J. Darken. The network helps show where Christian J. Darken may publish in the future.

Co-authorship network of co-authors of Christian J. Darken

This figure shows the co-authorship network connecting the top 25 collaborators of Christian J. Darken. A scholar is included among the top collaborators of Christian J. Darken 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 Christian J. Darken. Christian J. Darken 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.
2.
Darken, Christian J., et al.. (2013). Behavior Selection Using Utility-Based Reinforcement Learning in Irregular Warfare Simulation Models. International Journal of Operations Research and Information Systems. 4(3). 61–78. 2 indexed citations
3.
Darken, Christian J., et al.. (2012). Faster conceptual blending predictors on relational time series. Calhoun: The Naval Postgraduate School Institutional Archive (Naval Postgraduate School). 188–195. 1 indexed citations
4.
Darken, Christian J., et al.. (2011). Modeling and integration of situational awareness and soldier target search. The Journal of Defense Modeling and Simulation Applications Methodology Technology. 10(1). 3–21. 2 indexed citations
5.
Darken, Christian J., et al.. (2011). A practical situation based agent architecture for social simulations. 37. 305–312. 1 indexed citations
6.
Rowe, Neil C., et al.. (2010). AUTOMATED ASSESSMENT OF PHYSICAL-MOTION TASKS FOR MILITARY INTEGRATIVE TRAINING. Calhoun: The Naval Postgraduate School Institutional Archive (Naval Postgraduate School). 190–195.
7.
Darken, Christian J., et al.. (2008). Blended Inverse Kinematics: Delta3D System Utilization. Calhoun: The Naval Postgraduate School Institutional Archive (Naval Postgraduate School). 1 indexed citations
8.
Darken, Christian J., et al.. (2008). A Reference Model of Soldier Attention and Behavior. Calhoun: The Naval Postgraduate School Institutional Archive (Naval Postgraduate School). 6 indexed citations
9.
Darken, Christian J.. (2007). Level Annotation and Test by Autonomous Exploration: Abbreviated Version. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 3(1). 77–79. 1 indexed citations
10.
Darken, Christian J.. (2007). Level Annotation and Test by Autonomous Exploration. Calhoun: The Naval Postgraduate School Institutional Archive (Naval Postgraduate School). 9 indexed citations
11.
Darken, Christian J., et al.. (2006). A Mental Simulation-Based Decision-Making Architecture Applied to Ground Combat. 3 indexed citations
12.
Darken, Christian J.. (2005). Towards Learned Anticipation in Complex Stochastic Environments. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 1(1). 27–32. 5 indexed citations
13.
Darken, Christian J.. (2004). Visibility and Concealment Algorithms for 3D Simulations. Physical Review Letters. 86(14). 3076–9. 9 indexed citations
14.
Darken, Christian J., et al.. (2003). Concurrent estimation of time-to-failure and effective wear. Calhoun: The Naval Postgraduate School Institutional Archive (Naval Postgraduate School). 11(6). 2 indexed citations
15.
Darken, Christian J.. (1998). Stochastic approximation and neural network learning. MIT Press eBooks. 941–945. 2 indexed citations
16.
Scheffer, Tobias, Russell Greiner, & Christian J. Darken. (1997). Why Experimentation can be better than Perfect Guidance. International Conference on Machine Learning. 331–339. 5 indexed citations
17.
Petsche, Thomas, et al.. (1995). A Neural Network Autoassociator for Induction Motor Failure Prediction. Neural Information Processing Systems. 8. 924–930. 32 indexed citations
18.
Darken, Christian J. & John Moody. (1991). Towards Faster Stochastic Gradient Search. Neural Information Processing Systems. 4. 1009–1016. 64 indexed citations
19.
Darken, Christian J. & John Moody. (1990). Note on Learning Rate Schedules for Stochastic Optimization. Neural Information Processing Systems. 3. 832–838. 93 indexed citations
20.
Moody, John & Christian J. Darken. (1989). Fast Learning in Networks of Locally-Tuned Processing Units. Neural Computation. 1(2). 281–294. 2980 indexed citations breakdown →

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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