Howard B. Demuth

7.3k total citations · 2 hit papers
15 papers, 4.8k citations indexed

About

Howard B. Demuth is a scholar working on Artificial Intelligence, Control and Systems Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Howard B. Demuth has authored 15 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Control and Systems Engineering and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Howard B. Demuth's work include Neural Networks and Applications (4 papers), Control Systems and Identification (3 papers) and Fuzzy Logic and Control Systems (2 papers). Howard B. Demuth is often cited by papers focused on Neural Networks and Applications (4 papers), Control Systems and Identification (3 papers) and Fuzzy Logic and Control Systems (2 papers). Howard B. Demuth collaborates with scholars based in United States. Howard B. Demuth's co-authors include Martin Hagan, Orlando De Jesús, J.D. Balcomb, Elias P. Gyftopoulos, R.L. Wainwright, Stephen L. Scott, Raghu Raghavan, A. J. Toepfer, R.R. Mohler and N. Metropolis and has published in prestigious journals such as Journal of Applied Physics, IEEE Transactions on Computers and International Journal of Robust and Nonlinear Control.

In The Last Decade

Howard B. Demuth

15 papers receiving 4.5k citations

Hit Papers

Neural network design 1995 2026 2005 2015 1995 2015 1000 2.0k 3.0k 4.0k

Peers

Howard B. Demuth
Donald R. Jones United States
Donald F. Specht United States
Laurene V. Fausett United States
Linda Kaufman United States
Vladimir Cherkassky United States
Stefan D. Leigh United States
Ming Li China
Donald R. Jones United States
Howard B. Demuth
Citations per year, relative to Howard B. Demuth Howard B. Demuth (= 1×) peers Donald R. Jones

Countries citing papers authored by Howard B. Demuth

Since Specialization
Citations

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

Fields of papers citing papers by Howard B. Demuth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Howard B. Demuth. 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 Howard B. Demuth. The network helps show where Howard B. Demuth may publish in the future.

Co-authorship network of co-authors of Howard B. Demuth

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

All Works

15 of 15 papers shown
1.
Hagan, Martin, et al.. (2015). Neural Network Toolbox™ User's Guide. 467 indexed citations breakdown →
2.
Demuth, Howard B., et al.. (2008). An algorithm for automated authorship attribution using neural networks. Literary and Linguistic Computing. 23(4). 425–442. 13 indexed citations
3.
Demuth, Howard B., et al.. (2004). Neutral network toolbox for use with Matlab:user's guide. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 5 indexed citations
4.
Demuth, Howard B., et al.. (2003). Modeling neural networks on the MPP. 39–42. 2 indexed citations
5.
Hagan, Martin, Howard B. Demuth, & Orlando De Jesús. (2002). An introduction to the use of neural networks in control systems. International Journal of Robust and Nonlinear Control. 12(11). 959–985. 236 indexed citations
6.
Demuth, Howard B., et al.. (2002). Measuring the impulse response of linear systems using an analog correlator. 5. 65–68. 6 indexed citations
7.
Hagan, Martin, et al.. (1995). Neural network design. Institutional Repository of the National University Open and Distance UNAD (Universidad Nacional Abierta y a Distancia). 4040 indexed citations breakdown →
8.
Demuth, Howard B., et al.. (1993). Using crosscorrelation techniques to determine the impulse response of linear systems. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 1 indexed citations
9.
Scott, Stephen L., R.L. Wainwright, Raghu Raghavan, & Howard B. Demuth. (1987). Application of Parallel (MIMD) Computers to Reservoir Simulation. 18 indexed citations
10.
Hagan, Martin, et al.. (1985). Parallel Signal Processing Research on the HEP.. Proceedings of the International Conference on Parallel Processing. 599–606. 3 indexed citations
11.
Demuth, Howard B.. (1985). Electronic Data Sorting. IEEE Transactions on Computers. C-34(4). 296–310. 17 indexed citations
12.
Toepfer, A. J. & Howard B. Demuth. (1977). Use of image restoration and enhancement to improve x-ray pinhole camera resolution. Journal of Applied Physics. 48(1). 398–405. 4 indexed citations
13.
Demuth, Howard B., et al.. (1962). Control Systems for the KIWI-A Nuclear Reactors. IRE Transactions on Nuclear Science. 9(1). 134–144. 5 indexed citations
14.
Balcomb, J.D., Howard B. Demuth, & Elias P. Gyftopoulos. (1961). A Crosscorrelation Method for Measuring the Impulse Response of Reactor Systems. Nuclear Science and Engineering. 11(2). 159–166. 30 indexed citations
15.
Demuth, Howard B., et al.. (1952). MANIAC. 13–16. 1 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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