A. Harry Klopf

690 total citations
20 papers, 428 citations indexed

About

A. Harry Klopf is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, A. Harry Klopf has authored 20 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 7 papers in Cognitive Neuroscience and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in A. Harry Klopf's work include Neural dynamics and brain function (7 papers), Neural Networks and Applications (5 papers) and Reinforcement Learning in Robotics (5 papers). A. Harry Klopf is often cited by papers focused on Neural dynamics and brain function (7 papers), Neural Networks and Applications (5 papers) and Reinforcement Learning in Robotics (5 papers). A. Harry Klopf collaborates with scholars based in United States. A. Harry Klopf's co-authors include Leemon C. Baird, James S. Morgan, Earl E. Gose, Jeffrey D. Johnson, Jinghong Li and Erik Blasch and has published in prestigious journals such as International Journal of Psychophysiology, Network Computation in Neural Systems and Adaptive Behavior.

In The Last Decade

A. Harry Klopf

18 papers receiving 372 citations

Peers

A. Harry Klopf

CMN

EEE

CSE

Thomas Voegtlin France

Hubert Soyer United Kingdom

Zoltan Schreter Australia

Mathias Quoy France

Jan Morén Japan

Jacob M.J. Murre Netherlands

Sebastian Gerwinn Germany

Carlos Diuk United States

Z.A. Keirn United States

Tom Smith United Kingdom

Thomas Voegtlin France

A. Harry Klopf

211 ×0.9

210 ×1.0

61 ×0.8

CMN

77 ×1.3

EEE

44 ×1.1

CSE

Citations per year, relative to A. Harry Klopf A. Harry Klopf (= 1×) peers Thomas Voegtlin

Countries citing papers authored by A. Harry Klopf

Since Specialization

Citations

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

Fields of papers citing papers by A. Harry Klopf

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. Harry Klopf. 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 A. Harry Klopf. The network helps show where A. Harry Klopf may publish in the future.

Co-authorship network of co-authors of A. Harry Klopf

This figure shows the co-authorship network connecting the top 25 collaborators of A. Harry Klopf. A scholar is included among the top collaborators of A. Harry Klopf 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 A. Harry Klopf. A. Harry Klopf 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

Klopf, A. Harry, et al.. (2008). Reinforcement Learning: An Alternative Approach To Machine Intelligence. 1 indexed citations

Johnson, Jeffrey D., et al.. (2002). Learning algorithms for suppressing motion clutter in airborne array radar. 2. 840–845. 1 indexed citations

Johnson, Jeffrey D., Jinghong Li, Erik Blasch, & A. Harry Klopf. (2002). A computational model of avoidance behavior. 3. 2092–2097.

Johnson, Jeffrey D., et al.. (2001). A Computational Model of Learned Avoidance Behavior in a One-Way Avoidance Experiment. Adaptive Behavior. 9(2). 91–104. 15 indexed citations

Klopf, A. Harry. (1997). Drive-reinforcement learning and hierarchical networks of control systems as models of nervous system function. International Journal of Psychophysiology. 25(1). 42–43. 1 indexed citations

Baird, Leemon C., et al.. (1995). Reinforcement Learning Applied to a Differential Game. Adaptive Behavior. 4(1). 3–28. 26 indexed citations

Baird, Leemon C., et al.. (1994). Advantage Updating Applied to a Differential Game. Neural Information Processing Systems. 7. 353–360. 26 indexed citations

Klopf, A. Harry. (1994). Drive-Reinforcement Learning and Hierarchical Networks of Control Systems as Models of Nervous System Function. IFAC Proceedings Volumes. 27(1). 511–515. 1 indexed citations

Baird, Leemon C. & A. Harry Klopf. (1993). Extensions of the Associative Control Process (ACP) Network: Hierarchies and Provable Optimality. The MIT Press eBooks. 162–170. 1 indexed citations

10.

Klopf, A. Harry, et al.. (1993). A Hierarchical Network of Control Systems that Learn: Modeling Nervous System Function During Classical and Instrumental Conditioning. Adaptive Behavior. 1(3). 263–319. 27 indexed citations

11.

Baird, Leemon C. & A. Harry Klopf. (1993). A Hierarchical Network of Provably Optimal Learning Control Systems: Extensions of the Associative Control Process (ACP) Network. Adaptive Behavior. 1(3). 321–352. 7 indexed citations

12.

Morgan, James S., et al.. (1990). A drive-reinforcement neural network model of simple instrumental conditioning. 227–232 vol.2. 5 indexed citations

13.

Morgan, James S., et al.. (1990). Drive-reinforcement learning: a self-supervised model for adaptive control. Network Computation in Neural Systems. 1(4). 439–448. 5 indexed citations

14.

Morgan, James S., et al.. (1990). Drive-reinforcement learning: a self-supervised model for adaptive control. Network Computation in Neural Systems. 1(4). 439–448. 2 indexed citations

15.

Klopf, A. Harry. (1988). The Drive-Reinforcement Neuronal Model: A Real-Time Learning Mechanism For Unsupervised Learning. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 882. 119–119. 2 indexed citations

16.

Klopf, A. Harry. (1988). A neuronal model of classical conditioning. Psychobiology. 16(2). 85–125. 207 indexed citations

17.

Klopf, A. Harry. (1986). A drive-reinforcement model of single neuron function: An alternative to the Hebbian neuronal model. AIP conference proceedings. 151. 265–270. 36 indexed citations

18.

Klopf, A. Harry. (1975). A comparison of natural and artificial intelligence. ACM SIGART Bulletin. 11–13. 8 indexed citations

19.

Klopf, A. Harry. (1972). Brain Function and Adaptive Systems: A Heterostatic Theory. Defense Technical Information Center (DTIC). 45 indexed citations

20.

Klopf, A. Harry & Earl E. Gose. (1969). An Evolutionary Pattern Recognition Network. 5(3). 247–250. 12 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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