Donald F. Specht

9.7k total citations · 2 hit papers
20 papers, 7.2k citations indexed

About

Donald F. Specht is a scholar working on Artificial Intelligence, Control and Systems Engineering and Statistics and Probability. According to data from OpenAlex, Donald F. Specht has authored 20 papers receiving a total of 7.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 10 papers in Control and Systems Engineering and 6 papers in Statistics and Probability. Recurrent topics in Donald F. Specht's work include Neural Networks and Applications (11 papers), Fault Detection and Control Systems (9 papers) and Advanced Statistical Methods and Models (6 papers). Donald F. Specht is often cited by papers focused on Neural Networks and Applications (11 papers), Fault Detection and Control Systems (9 papers) and Advanced Statistical Methods and Models (6 papers). Donald F. Specht collaborates with scholars based in United States and Canada. Donald F. Specht's co-authors include William A. Fisher and J. Roehrig and has published in prestigious journals such as Technometrics, IEEE Transactions on Biomedical Engineering and Neural Networks.

In The Last Decade

Donald F. Specht

18 papers receiving 6.7k citations

Hit Papers

A general regression neur... 1990 2026 2002 2014 1991 1990 1000 2.0k 3.0k
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.

  1. A general regression neural network
    1991 3.4k citations Donald F. Specht IEEE Transactions on Neural Networks profile →
  2. Probabilistic neural networks
    1990 2.8k citations Donald F. Specht Neural Networks profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Donald F. Specht United States 11 2.6k 1.0k 1.0k 1.0k 621 20 7.2k
Vladimir Cherkassky United States 30 2.5k 0.9× 871 0.9× 1.3k 1.3× 744 0.7× 442 0.7× 128 6.9k
D. E. Goldberg Japan 6 3.8k 1.4× 1.4k 1.4× 953 0.9× 1.6k 1.6× 236 0.4× 6 10.2k
Ryszard Tadeusiewicz Poland 27 2.8k 1.1× 1.1k 1.1× 1.2k 1.2× 1.1k 1.0× 508 0.8× 241 8.0k
Harris Drucker United States 15 2.8k 1.1× 511 0.5× 1.5k 1.4× 615 0.6× 397 0.6× 31 6.5k
P. Simard United States 25 3.5k 1.4× 594 0.6× 2.4k 2.3× 1.1k 1.0× 457 0.7× 56 9.4k
Reuven Y. Rubinstein Israel 29 2.3k 0.9× 873 0.9× 1.1k 1.1× 1.4k 1.4× 460 0.7× 69 10.8k
Felix A. Gers Switzerland 10 2.4k 0.9× 503 0.5× 881 0.9× 1.1k 1.1× 532 0.9× 21 6.3k
Les Atlas United States 31 2.8k 1.1× 1.0k 1.0× 1.0k 1.0× 1.5k 1.5× 292 0.5× 173 6.2k
Paolo Frasconi Italy 33 4.2k 1.6× 946 0.9× 1.6k 1.5× 1.1k 1.0× 456 0.7× 130 10.0k
Darrell Whitley United States 31 3.2k 1.2× 636 0.6× 559 0.5× 886 0.9× 589 0.9× 143 7.6k

Countries citing papers authored by Donald F. Specht

Since Specialization
Citations

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

Fields of papers citing papers by Donald F. Specht

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Donald F. Specht. 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 Donald F. Specht. The network helps show where Donald F. Specht may publish in the future.

Co-authorship network of co-authors of Donald F. Specht

This figure shows the co-authorship network connecting the top 25 collaborators of Donald F. Specht. A scholar is included among the top collaborators of Donald F. Specht 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 Donald F. Specht. Donald F. Specht 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.
Specht, Donald F.. (2006). GRNN with Double Clustering. The 2006 IEEE International Joint Conference on Neural Network Proceedings. 3 indexed citations
2.
Specht, Donald F.. (2003). Enhancements to probabilistic neural networks. 1. 761–768. 90 indexed citations
3.
Specht, Donald F., et al.. (2002). The Lockheed probabilistic neural network processor. 309–315.
4.
Specht, Donald F., et al.. (2002). The Lockheed probabilistic neural network processor. i. 513–518. 3 indexed citations
5.
Specht, Donald F., et al.. (2002). Small, fast runtime modules for probabilistic neural networks. 1. 304–308. 2 indexed citations
6.
Specht, Donald F., et al.. (2002). Generalization accuracy of probabilistic neural networks compared with backpropagation networks. i. 887–892. 54 indexed citations
7.
Specht, Donald F., et al.. (2002). Identification of unknown categories with probabilistic neural networks. IEEE International Conference on Neural Networks. 434–437. 7 indexed citations
8.
Specht, Donald F., et al.. (2002). Experience with adaptive probabilistic neural networks and adaptive general regression neural networks. 2. 1203–1208. 72 indexed citations
9.
Specht, Donald F.. (1996). Probabilistic neural networks and general regression neural networks. McGraw-Hill, Inc. eBooks. 301–344. 51 indexed citations
10.
Specht, Donald F.. (1993). The general regression neural network—Rediscovered. Neural Networks. 6(7). 1033–1034. 53 indexed citations
11.
Specht, Donald F.. (1991). A general regression neural network. IEEE Transactions on Neural Networks. 2(6). 568–576. 3397 indexed citations breakdown →
12.
Specht, Donald F.. (1990). Probabilistic neural networks and the polynomial Adaline as complementary techniques for classification. IEEE Transactions on Neural Networks. 1(1). 111–121. 466 indexed citations
13.
Specht, Donald F.. (1990). Probabilistic neural networks. Neural Networks. 3(1). 109–118. 2752 indexed citations breakdown →
14.
Specht, Donald F.. (1990). <title>Applications of probabilistic neural networks</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 344–353. 5 indexed citations
15.
Specht, Donald F. & J. Roehrig. (1984). <title>Deconvolution Techniques For Digital Longitudinal Tomography</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 454. 319–325.
16.
Specht, Donald F.. (1971). Series Estimation of a Probability Density Function. Technometrics. 13(2). 409–409. 4 indexed citations
17.
Specht, Donald F.. (1971). Series Estimation of a Probability Density Function. Technometrics. 13(2). 409–424. 16 indexed citations
18.
Specht, Donald F.. (1968). A PRACTICAL TECHNIQUE FOR ESTIMATING GENERAL REGRESSION SURFACES. Defense Technical Information Center (DTIC). 2 indexed citations
19.
Specht, Donald F.. (1967). Vectorcardiographic Diagnosis Using the Polynomial Discriminant Method of Pattern Recognition. IEEE Transactions on Biomedical Engineering. BME-14(2). 90–95. 37 indexed citations
20.
Specht, Donald F.. (1967). Generation of Polynomial Discriminant Functions for Pattern Recognition. IEEE Transactions on Electronic Computers. EC-16(3). 308–319. 180 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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