Nabil H. Farhat

1.4k total citations
34 papers, 906 citations indexed

About

Nabil H. Farhat is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Cognitive Neuroscience. According to data from OpenAlex, Nabil H. Farhat has authored 34 papers receiving a total of 906 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 17 papers in Electrical and Electronic Engineering and 11 papers in Cognitive Neuroscience. Recurrent topics in Nabil H. Farhat's work include Neural Networks and Applications (18 papers), Neural Networks and Reservoir Computing (13 papers) and Advanced Memory and Neural Computing (13 papers). Nabil H. Farhat is often cited by papers focused on Neural Networks and Applications (18 papers), Neural Networks and Reservoir Computing (13 papers) and Advanced Memory and Neural Computing (13 papers). Nabil H. Farhat collaborates with scholars based in United States and Taiwan. Nabil H. Farhat's co-authors include Demetri Psaltis, Eung Gi Paek, A. Prata, Geehyuk Lee, Ramin Pashaie, Zon‐Yin Shae, Hsueh‐Jyh Li, J. Barhen, Emilio Del-Moral-Hernandez and Hua‐Kuang Liu and has published in prestigious journals such as Optics Letters, Neural Networks and Journal of the Optical Society of America B.

In The Last Decade

Nabil H. Farhat

31 papers receiving 832 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nabil H. Farhat United States 11 674 600 126 126 74 34 906
Alister Hamilton United Kingdom 14 200 0.3× 484 0.8× 37 0.3× 160 1.3× 243 3.3× 72 813
Eung Gi Paek United States 13 447 0.7× 750 1.3× 464 3.7× 37 0.3× 134 1.8× 50 1.2k
Ferdinand Peper Japan 15 305 0.5× 353 0.6× 69 0.5× 37 0.3× 65 0.9× 99 977
Daiju Nakano Japan 9 1.1k 1.6× 1.1k 1.8× 73 0.6× 398 3.2× 49 0.7× 26 1.5k
Didier Keymeulen United States 17 685 1.0× 446 0.7× 41 0.3× 17 0.1× 123 1.7× 92 1.1k
E. Roca Spain 15 153 0.2× 998 1.7× 38 0.3× 31 0.2× 100 1.4× 152 1.1k
K. Strohbehn United States 10 101 0.1× 372 0.6× 52 0.4× 62 0.5× 130 1.8× 38 499
Valeriu Beiu United Arab Emirates 17 243 0.4× 1.0k 1.7× 84 0.7× 34 0.3× 96 1.3× 156 1.2k
K. Goser Germany 16 211 0.3× 736 1.2× 197 1.6× 20 0.2× 123 1.7× 110 968
Josep L. Rosselló Spain 17 372 0.6× 649 1.1× 28 0.2× 190 1.5× 69 0.9× 68 854

Countries citing papers authored by Nabil H. Farhat

Since Specialization
Citations

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

Fields of papers citing papers by Nabil H. Farhat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nabil H. Farhat. 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 Nabil H. Farhat. The network helps show where Nabil H. Farhat may publish in the future.

Co-authorship network of co-authors of Nabil H. Farhat

This figure shows the co-authorship network connecting the top 25 collaborators of Nabil H. Farhat. A scholar is included among the top collaborators of Nabil H. Farhat 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 Nabil H. Farhat. Nabil H. Farhat 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.
Pashaie, Ramin & Nabil H. Farhat. (2007). Optical realization of bioinspired spiking neurons in the electron trapping material thin film. Applied Optics. 46(35). 8411–8411. 7 indexed citations
2.
Pashaie, Ramin & Nabil H. Farhat. (2007). Realization of receptive fields with excitatory and inhibitory responses on equilibrium-state luminescence of electron trapping material. Optics Letters. 32(11). 1501–1501. 3 indexed citations
3.
Farhat, Nabil H.. (2004). Corticonic networks for higher-level processing.. Defense Technical Information Center (DTIC). 256–262. 2 indexed citations
4.
Lee, Geehyuk & Nabil H. Farhat. (2002). The Bifurcating Neuron Network 2: an analog associative memory. Neural Networks. 15(1). 69–84. 34 indexed citations
5.
Lee, Geehyuk & Nabil H. Farhat. (2001). The double queue method: a numerical method for integrate-and-fire neuron networks. Neural Networks. 14(6-7). 921–932. 12 indexed citations
6.
Lee, Geehyuk & Nabil H. Farhat. (2001). PARAMETRICALLY COUPLED SINE MAP NETWORKS. International Journal of Bifurcation and Chaos. 11(7). 1815–1834. 17 indexed citations
7.
Farhat, Nabil H. & Emilio Del-Moral-Hernandez. (1996). <title>Recurrent networks with recursive processing elements: paradigm for dynamical computing</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2824. 158–170. 1 indexed citations
8.
Farhat, Nabil H., et al.. (1993). Bifurcating neuron: characterization and dynamics. 23–23. 5 indexed citations
9.
Liu, Hua‐Kuang, J. Barhen, & Nabil H. Farhat. (1992). Optical implementation of terminal-attractor-based associative memory. Applied Optics. 31(23). 4631–4631. 4 indexed citations
10.
Farhat, Nabil H., et al.. (1991). The bifurcating neuron. Optical Society of America Annual Meeting. MK3–MK3. 4 indexed citations
11.
Li, Hsueh‐Jyh, et al.. (1990). Microwave imaging of moving objects. International Journal of Imaging Systems and Technology. 2(3). 219–230. 7 indexed citations
12.
Farhat, Nabil H., et al.. (1990). Image reconstruction and target identification based on neural network models. Scholarly Commons (University of Pennsylvania).
13.
Farhat, Nabil H., Demetri Psaltis, A. Prata, & Eung Gi Paek. (1988). Optical implementation of the Hopfield model. CaltechAUTHORS (California Institute of Technology). 651–659. 1 indexed citations
14.
15.
Farhat, Nabil H., et al.. (1986). Super-Resolution and Signal Recovery Using Models of Neural Networks. FB4–FB4. 1 indexed citations
16.
Psaltis, Demetri, et al.. (1985). Acoustooptic implementation of neural network models. Annual Meeting Optical Society of America. WT6–WT6. 2 indexed citations
17.
Farhat, Nabil H., Demetri Psaltis, A. Prata, & Eung Gi Paek. (1985). Optical implementation of the Hopfield model. Applied Optics. 24(10). 1469–1469. 400 indexed citations
18.
Farhat, Nabil H., et al.. (1985). Content addressable memory with smooth transition and adaptive thresholding. Annual Meeting Optical Society of America. WJ35–WJ35. 1 indexed citations
19.
Farhat, Nabil H., et al.. (1974). Synthetic-aperture radar and multiplex spectroscopy. Journal of the Optical Society of America. 64(3). 402–402.
20.
Farhat, Nabil H., et al.. (1969). Relations between Wave Structure Function Looking Up and Looking Down through the Atmosphere. Journal of the Optical Society of America. 59(11). 1489–1489. 2 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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