Most cited papers from Lockheed Martin Orincon (United States)
What are the most cited papers from Lockheed Martin Orincon (United States)?
The most cited paper from Lockheed Martin Orincon (United States) is "Fuzzy min-max neural networks. I. Classification" (Patrick K. Simpson, 1992), with 786 citations. Next come "Computing the discrete-time "analytic" signal via FFT" (773) and "Fuzzy min-max neural networks - Part 2: Clustering" (508).
Showing 50 of 60 papers. Every paper with more than 24 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Fuzzy min-max neural networks. I. Classification Patrick K. Simpson · IEEE Transactions on Neural Networks | 1992 | 786 |
| 2 | Computing the discrete-time "analytic" signal via FFT L. Marple · IEEE Transactions on Signal Processing | 1999 | 773 |
| 3 | Fuzzy min-max neural networks - Part 2: Clustering Patrick K. Simpson · IEEE Transactions on Fuzzy Systems | Feb 1993 | 508 |
| 4 | Aggregating Template Or Rule Antecedents In Real-time Expert Systems With Fuzzy Set Logic Michael O'Hagan | 24 Aug 2005 | 452 |
| 5 | Evolving neural networks David B. Fogel, Lawrence J. Fogel, V William Porto · Biological Cybernetics | Oct 1990 | 300 |
| 6 | An evolutionary approach to the traveling salesman problem David B. Fogel · Biological Cybernetics | Dec 1988 | 290 |
| 7 | Application of 0-1 integer programming to multitarget tracking problems C. Morefield · IEEE Transactions on Automatic Control | Jun 1977 | 284 |
| 8 | Detection, estimation, and classification with spectrograms Richard A. Altes · The Journal of the Acoustical Society of America | Apr 1980 | 264 |
| 9 | Comparing genetic operators with gaussian mutations in simulated evolutionary processes using linear systems David B. Fogel, J. W. Atmar · Biological Cybernetics | Jun 1990 | 243 |
| 10 | Adaptive Detection Algorithms for Multiple-Target Situations John Terry Rickard, George M. Dillard · IEEE Transactions on Aerospace and Electronic Systems | Jul 1977 | 241 |
| 11 | Evolving Behaviors in the Iterated Prisoner's Dilemma David B. Fogel · Evolutionary Computation | Mar 1993 | 238 |
| 12 | APPLYING EVOLUTIONARY PROGRAMMING TO SELECTED TRAVELING SALESMAN PROBLEMS David B. Fogel · Cybernetics & Systems | 1993 | 233 |
| 13 | One-step solution for the multistep out-of-sequence-measurement problem in tracking Yaakov Bar‐Shalom, Huimin Chen, Mahendra K. Mallick · IEEE Transactions on Aerospace and Electronic Systems | 2004 | 210 |
| 14 | An information criterion for optimal neural network selection David B. Fogel · IEEE Transactions on Neural Networks | 1991 | 185 |
| 15 | Meta-evolutionary programming David B. Fogel, Lawrence J. Fogel, J. W. Atmar | 9 Dec 2002 | 173 |
| 16 | Prognosis of faults in gas turbine engines T. Brotherton, Gary L. Jahns, Jack H. Jacobs et al. | 8 Nov 2002 | 157 |
| 17 | Tokamak disruption alarm based on a neural network model of the high- beta limit D. Wróblewski, Gary L. Jahns, J.A. Leuer · Nuclear Fusion | Jun 1997 | 138 |
| 18 | Alternative neural network training methods [active sonar processing] V William Porto, David B. Fogel · IEEE Expert | Jun 1995 | 128 |
| 19 | Modulation of the Spectra of Short Gravity Waves by Sea Surface Films: Slick Detection and Characterization with a Microwave Probe Pietro Paolo Lombardini, B. Fiscella, Paolo Trivero et al. · Journal of Atmospheric and Oceanic Technology | Dec 1989 | 124 |
| 20 | Passive sonar limits upon nulling multiple moving ships with large aperture arrays Arthur B. Baggeroer, Henry L. Cox | 22 Jan 2003 | 103 |
| 21 | Eigenvalue Beamforming Using a Multirank MVDR Beamformer and Subspace Selection Ali Pezeshki, B.D. Van Veen, Louis L. Scharf et al. · IEEE Transactions on Signal Processing | 16 Apr 2008 | 94 |
| 22 | An Algorithm for Constructing Optimal Binary Decision Trees Payne, Meisel · IEEE Transactions on Computers | Sep 1977 | 91 |
| 23 | Second-order output statistics of the adaptive line enhancer John Terry Rickard, James Zeidler · IEEE Transactions on Acoustics Speech and Signal Processing | Feb 1979 | 85 |
| 24 | Using evolutionary programing to create neural networks that are capable of playing tic-tac-toe David B. Fogel | 30 Dec 2002 | 84 |
| 25 | Computationally efficient two-dimensional Capon spectrum analysis Andreas Jakobsson, S.L. Marple, Petre Stoica · IEEE Transactions on Signal Processing | 2000 | 76 |
| 26 | Image-enhanced tracking David D. Sworder, Robert G. Hutchins · IEEE Transactions on Aerospace and Electronic Systems | 1989 | 74 |
| 27 | An adaptive extended Kalman filter using artificial neural networks Stephen Craig Stubberud, Robert N. Lobbia, Mark W. Owen | 19 Nov 2002 | 72 |
| 28 | Robust DMR and multi-rate adaptive beamforming Henry L. Cox, Richard Pitre | 23 Nov 2002 | 68 |
| 29 | Sonar recognition of targets embedded in sediment Herbert L. Roitblat, Whitlow W. L. Au, Paul E. Nachtigall et al. · Neural Networks | 1995 | 66 |
| 30 | Optimal allocation of tracking resources JEFFREY M. NASH | Dec 1977 | 65 |
| 31 | Rapid Geoacoustic Characterization Using a Surface Ship of Opportunity Kevin D. Heaney · IEEE Journal of Oceanic Engineering | 2004 | 62 |
| 32 | Observability conditions for multiple signal direction finding and array sensor localization J.T. Lo, S.L. Marple · IEEE Transactions on Signal Processing | 1992 | 61 |
| 33 | Computing the discrete-time 'analytic' signal via FFT S.L. Marple | 22 Nov 2002 | 59 |
| 34 | Evolutionary optimization David B. Fogel | 2 Jan 2003 | 58 |
| 35 | Precision tracking of ground targets Peter J. Shea, T. Zadra, Dale M. Klamer et al. | 7 Nov 2002 | 50 |
| 36 | Comparison of nonlinear filtering algorithms in ground moving target indicator (GMTI) tracking Mahendra K. Mallick, Sanjeev Arulampalam · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE | 30 Dec 2003 | 48 |
| 37 | Maneuver estimation using measurements of orientation David D. Sworder, Robert G. Hutchins · IEEE Transactions on Aerospace and Electronic Systems | Jul 1990 | 48 |
| 38 | Two-dimensional lattice linear prediction parameter estimation method and fast algorithm S.L. Marple · IEEE Signal Processing Letters | Jun 2000 | 44 |
| 39 | Image-enhanced estimation methods David D. Sworder, Paul F. Singer, David M. Doria et al. · Proceedings of the IEEE | Jun 1993 | 43 |
| 40 | Echolocation as Seen from the Viewpoint of Radar/Sonar Theory Richard A. Altes · Proceedings in life sciences | 1984 | 42 |
| 41 | Maximum likelihood estimation, analysis, and applications of exponential polynomial signals Stuart A. Golden, B. Friedlander · IEEE Transactions on Signal Processing | Jun 1999 | 42 |
| 42 | Target position estimation in radar and sonar, and generalized ambiguity analysis for maximum likelihood parameter estimation Richard A. Altes · Proceedings of the IEEE | 1979 | 41 |
| 43 | THE EVOLUTION OF INTELLIGENT DECISION MAKING IN GAMING David B. Fogel · Cybernetics & Systems | Mar 1991 | 41 |
| 44 | Improved state estimation through use of roads in ground tracking Peter J. Shea, T. Zadra, Dale M. Klamer et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE | 13 Jul 2000 | 40 |
| 45 | Optimal routing of multiple autonomous underwater vehicles through evolutionary programming David B. Fogel, Lawrence J. Fogel · Symposium on Autonomous Underwater Vehicle Technology | 4 Dec 2002 | 39 |
| 46 | Bias modeling and estimation for GMTI applications Keith D. Kastella, Bill Yeary, T. Zadra et al. | 2000 | 38 |
| 47 | Classification and novelty detection using linear models and a class dependent-elliptical basis function neural network T. Brotherton, Travis S. Johnson, George L. Chadderdon | 27 Nov 2002 | 37 |
| 48 | Geometric comb waveforms for reverberation suppression Henry L. Cox, Hung Chi Lai | 17 Dec 2002 | 35 |
| 49 | Rapid Geoacoustic Characterization: Applied to Range-Dependent Environments Kevin D. Heaney · IEEE Journal of Oceanic Engineering | 2004 | 34 |
| 50 | A Fuzzy Neuron Based on Maximum Entropy Ordered Weighted Averaging Michael O'Hagan | 24 Aug 2005 | 34 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for an institution when any of its authors gave it as an affiliation; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.