Robert Hecht-Nielsen

4.0k total citations · 1 hit paper
40 papers, 2.0k citations indexed

About

Robert Hecht-Nielsen is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Signal Processing. According to data from OpenAlex, Robert Hecht-Nielsen has authored 40 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 9 papers in Cognitive Neuroscience and 7 papers in Signal Processing. Recurrent topics in Robert Hecht-Nielsen's work include Neural Networks and Applications (21 papers), Blind Source Separation Techniques (7 papers) and Neural dynamics and brain function (6 papers). Robert Hecht-Nielsen is often cited by papers focused on Neural Networks and Applications (21 papers), Blind Source Separation Techniques (7 papers) and Neural dynamics and brain function (6 papers). Robert Hecht-Nielsen collaborates with scholars based in United States, France and Japan. Robert Hecht-Nielsen's co-authors include Tadashi Yamazaki, P.M. Chau, Yeshaiahu Fainman, Thomas M. McKenna, Syrus C. Nemat-Nasser, Andrew T. Smith, Andrew Smith, Rex Kerr, Stephen I. Gallant and Jacques Lambert and has published in prestigious journals such as Science, The Journal of the Acoustical Society of America and Neural Computation.

In The Last Decade

Robert Hecht-Nielsen

39 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Counterpropagation networks

1987 528 citations Robert Hecht-Nielsen Applied Optics profile →

Peers

Robert Hecht-Nielsen

AI

CVPR

CSE

EEE

SP

Filip Mulier United States

J Figueroa Nazuno Mexico

Russell Reed United States

Michael A. Lehr United States

M.H. Hassoun United States

A. Prieto Spain

Antônio P. Braga Brazil

B.G. Horne United States

Jonathan A. Marshall United States

Gordon Stoll United States

Filip Mulier United States

Robert Hecht-Nielsen

906 ×0.9

AI

390 ×1.1

CVPR

279 ×0.9

CSE

152 ×0.6

EEE

190 ×1.1

SP

Citations per year, relative to Robert Hecht-Nielsen Robert Hecht-Nielsen (= 1×) peers Filip Mulier

Countries citing papers authored by Robert Hecht-Nielsen

Since Specialization

Citations

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

Fields of papers citing papers by Robert Hecht-Nielsen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert Hecht-Nielsen. 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 Robert Hecht-Nielsen. The network helps show where Robert Hecht-Nielsen may publish in the future.

Co-authorship network of co-authors of Robert Hecht-Nielsen

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Hecht-Nielsen. A scholar is included among the top collaborators of Robert Hecht-Nielsen 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 Robert Hecht-Nielsen. Robert Hecht-Nielsen 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.

Yamazaki, Tadashi, et al.. (2015). A Model of In vitro Plasticity at the Parallel Fiber—Molecular Layer Interneuron Synapses. Frontiers in Computational Neuroscience. 9. 150–150. 8 indexed citations

2.

Hecht-Nielsen, Robert, et al.. (2014). A spiking network model of cerebellar Purkinje cells and molecular layer interneurons exhibiting irregular firing. Frontiers in Computational Neuroscience. 8. 157–157. 17 indexed citations

3.

Smith, Andrew T., et al.. (2011). Neural network tomography: Network replication from output surface geometry. Neural Networks. 24(5). 484–492. 12 indexed citations

4.

Hecht-Nielsen, Robert, et al.. (2011). A simple control policy for achieving minimum jerk trajectories. Neural Networks. 27. 74–80. 18 indexed citations

5.

Hecht-Nielsen, Robert. (2005). Cogent confabulation. Neural Networks. 18(2). 111–115. 29 indexed citations

6.

Hecht-Nielsen, Robert & Thomas M. McKenna. (2003). Computational Models for Neuroscience. 8 indexed citations

7.

Hecht-Nielsen, Robert, et al.. (2002). Target recognition using multiple sensors. 1471. 411–420. 7 indexed citations

8.

Hecht-Nielsen, Robert, et al.. (1999). Conditional probability density function estimation with sigmoidal neural networks. IEEE Transactions on Neural Networks. 10(2). 231–238. 12 indexed citations

9.

Fainman, Yeshaiahu, et al.. (1998). Geometric theory of images. PhDT. 2350. 5 indexed citations

10.

Hecht-Nielsen, Robert. (1998). Cortronic Neural Network Models of Cortical Function.. International Conference on Neural Information Processing. 11. 2 indexed citations

11.

Hecht-Nielsen, Robert. (1998). A Theory of Cerebral Cortex. International Conference on Neural Information Processing. 1459–1464. 18 indexed citations

12.

Chau, P.M., et al.. (1995). A supervised learning neural network coprocessor for soft-decision maximum-likelihood decoding. IEEE Transactions on Neural Networks. 6(4). 986–992. 5 indexed citations

13.

Gallant, Stephen I., et al.. (1993). Feedback and mixing experiments with MatchPlus. Text REtrieval Conference. 101–104. 5 indexed citations

14.

Gallant, Stephen I., et al.. (1992). TIPSTER Panel - HNC's MatchPlus System.. Text REtrieval Conference. 16(3). 107–111. 2 indexed citations

15.

Hecht-Nielsen, Robert. (1989). Theory of the Back Propagation Neural Network. 1. 593–605. 248 indexed citations

16.

Hecht-Nielsen, Robert. (1988). Theory of the backpropagation neural network. Neural Networks. 1. 445–445. 347 indexed citations

17.

Hecht-Nielsen, Robert. (1988). Applications of counterpropagation networks. Neural Networks. 1(2). 131–139. 220 indexed citations

18.

Hecht-Nielsen, Robert. (1987). Nearest matched filter classification of spatiotemporal patterns. Applied Optics. 26(10). 1892–1892. 35 indexed citations

19.

Hecht-Nielsen, Robert. (1986). Performance Limits Of Optical, Electro-Optical, And Electronic Neurocomputers. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 634. 277–277. 25 indexed citations

20.

Hecht-Nielsen, Robert. (1983). <title>Neural Analog Processing</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 360. 180–189. 7 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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