Most cited papers in Target Tracking and Data Fusion in Sensor Networks
What are the most cited papers in Target Tracking and Data Fusion in Sensor Networks?
The most cited paper in Target Tracking and Data Fusion in Sensor Networks is "A new look at the statistical model identification" (Hirotugu Akaike, 1974), with 51,685 citations. Next come "A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking" (11,594) and "Novel approach to nonlinear/non-Gaussian Bayesian state estimation" (7,664).
Showing 50 of 100 papers. Every paper with more than 953 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | A new look at the statistical model identification Hirotugu Akaike · IEEE Transactions on Automatic Control | Dec 1974 | 51,685 |
| 2 | A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking M.S. Arulampalam, Simon R. Maskell, Neil Gordon et al. · IEEE Transactions on Signal Processing | 2002 | 11,594 |
| 3 | Novel approach to nonlinear/non-Gaussian Bayesian state estimation Neil Gordon, David J. Salmond, A. F. M. Smith · IEE Proceedings F Radar and Signal Processing | 1993 | 7,664 |
| 4 | Unscented Filtering and Nonlinear Estimation Simon Julier, Jeffrey K. Uhlmann · Proceedings of the IEEE | Mar 2004 | 6,611 |
| 5 | New Results in Linear Filtering and Prediction Theory Rudolf E. Kalman, R. S. Bucy · Journal of Basic Engineering | Mar 1961 | 6,409 |
| 6 | New extension of the Kalman filter to nonlinear systems Simon Julier, Jeffrey K. Uhlmann · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE | 28 Jul 1997 | 5,359 |
| 7 | CONDENSATION—Conditional Density Propagation for Visual Tracking Michael Isard, Andrew Blake · International Journal of Computer Vision | Aug 1998 | 4,900 |
| 8 | On sequential Monte Carlo sampling methods for Bayesian filtering Arnaud Doucet, Simon Godsill, Christophe Andrieu · Statistics and Computing | Jul 2000 | 4,472 |
| 9 | The generalized correlation method for estimation of time delay C. Knapp, G. Carter · IEEE Transactions on Acoustics Speech and Signal Processing | Aug 1976 | 4,441 |
| 10 | The unscented Kalman filter for nonlinear estimation Eric A. Wan, Rudolph van der Merwe | 7 Nov 2002 | 4,024 |
| 11 | A new method for the nonlinear transformation of means and covariances in filters and estimators Simon Julier, Jeffrey K. Uhlmann, Hugh F Durrant-Whyte · IEEE Transactions on Automatic Control | Mar 2000 | 3,749 |
| 12 | Detection of signals by information theoretic criteria M. Wax, T. Kailath · IEEE Transactions on Acoustics Speech and Signal Processing | Apr 1985 | 3,443 |
| 13 | Understanding GPS. Principles and applications Michael J. Rycroft · Journal of Atmospheric and Solar-Terrestrial Physics | Mar 1997 | 3,422 |
| 14 | Beyond the Kalman filter particle filters for tracking applications Branko Ristić, Sanjeev Arulampalam, Neil Gordon | 2004 | 3,411 |
| 15 | Cubature Kalman Filters Ienkaran Arasaratnam, S. Haykin · IEEE Transactions on Automatic Control | 27 May 2009 | 3,395 |
| 16 | Optimal Filtering Brian D. O. Anderson, John B. Moore, Mansour Eslami · IEEE Transactions on Systems Man and Cybernetics | Mar 1982 | 3,241 |
| 17 | The expectation-maximization algorithm Todd K. Moon · IEEE Signal Processing Magazine | 1996 | 3,235 |
| 18 | Pearson Correlation Coefficient Jacob Benesty, Jingdong Chen, Yiteng Arden Huang et al. · Springer topics in signal processing | 2009 | 3,075 |
| 19 | Locating the nodes: cooperative localization in wireless sensor networks Neal Patwari, Joshua N. Ash, Spyros Kyperountas et al. · IEEE Signal Processing Magazine | 28 Jun 2005 | 3,059 |
| 20 | Digital Image Enhancement and Noise Filtering by Use of Local Statistics Jong‐Sen Lee · IEEE Transactions on Pattern Analysis and Machine Intelligence | Mar 1980 | 2,734 |
| 21 | An introduction to multisensor data fusion David L. Hall, James Llinas · Proceedings of the IEEE | 1997 | 2,592 |
| 22 | Simultaneous localization and mapping (SLAM): part II T.E.R. Bailey, Hugh F Durrant-Whyte · IEEE Robotics & Automation Magazine | 23 Aug 2006 | 2,559 |
| 23 | Kalman Filtering With Intermittent Observations Bruno Sinopoli, Luca Schenato, Massimo Franceschetti et al. · IEEE Transactions on Automatic Control | Sep 2004 | 2,552 |
| 24 | An algorithm for linearly constrained adaptive array processing O.L. Frost · Proceedings of the IEEE | 1972 | 2,543 |
| 25 | A gentle tutorial of the em algorithm and its application to parameter estimation for Gaussian mixture and hidden Markov models Jeffrey A. Bilmes | 1998 | 2,502 |
| 26 | The interacting multiple model algorithm for systems with Markovian switching coefficients H.A.P. Blom, Yaakov Bar‐Shalom · IEEE Transactions on Automatic Control | 1988 | 2,464 |
| 27 | Improved Techniques for Grid Mapping With Rao-Blackwellized Particle Filters Giorgio Grisetti, Cyrill Stachniss, Wolfram Burgard · IEEE Transactions on Robotics | Feb 2007 | 2,455 |
| 28 | Survey of maneuvering targettracking . part I: dynamic models X. Rong Li, Vesselin P. Jilkov · IEEE Transactions on Aerospace and Electronic Systems | Oct 2003 | 2,404 |
| 29 | Multitarget bayes filtering via first-order multitarget moments Ronald Mahler · IEEE Transactions on Aerospace and Electronic Systems | Oct 2003 | 2,262 |
| 30 | Monte Carlo Filter and Smoother for Non-Gaussian Nonlinear State Space Models Genshiro Kitagawa · Journal of Computational and Graphical Statistics | Mar 1996 | 2,234 |
| 31 | Unsupervised learning of finite mixture models Mário A. T. Figueiredo, Anil Kumar Jain · IEEE Transactions on Pattern Analysis and Machine Intelligence | Mar 2002 | 2,145 |
| 32 | A survey of design methods for failure detection in dynamic systems Alan S. Willsky · Automatica | Nov 1976 | 2,144 |
| 33 | N4SID: Subspace algorithms for the identification of combined deterministic-stochastic systems Peter Van Overschee, Bart De Moor · Automatica | 1994 | 1,985 |
| 34 | The Gaussian Mixture Probability Hypothesis Density Filter Ba‐Ngu Vo, Wing‐Kin Ma · IEEE Transactions on Signal Processing | 18 Oct 2006 | 1,952 |
| 35 | Analysis Scheme in the Ensemble Kalman Filter Gerrit Burgers, Peter Jan van Leeuwen, Geir Evensen · Monthly Weather Review | Jun 1998 | 1,936 |
| 36 | A new approach for filtering nonlinear systems Simon Julier, Jeffrey K. Uhlmann, Hugh F Durrant-Whyte | 24 Aug 2005 | 1,933 |
| 37 | A Consistent Metric for Performance Evaluation of Multi-Object Filters Dominic Schuhmacher, Ba-Tuong Vo, Ba‐Ngu Vo · IEEE Transactions on Signal Processing | 24 Jul 2008 | 1,900 |
| 38 | Relative location estimation in wireless sensor networks Neal Patwari, Alfred O. Hero, Matt Perkins et al. · IEEE Transactions on Signal Processing | 16 Jul 2003 | 1,892 |
| 39 | BIONJ: an improved version of the NJ algorithm based on a simple model of sequence data Olivier Gascuel · Molecular Biology and Evolution | Jul 1997 | 1,856 |
| 40 | Robust Monte Carlo localization for mobile robots Sebastian Thrun, Dieter Fox, Wolfram Burgard et al. · Artificial Intelligence | May 2001 | 1,820 |
| 41 | Nonlinear Complementary Filters on the Special Orthogonal Group Robert E. Mahony, Tarek Hamel, Jean-Michel Pflimlin · IEEE Transactions on Automatic Control | Jun 2008 | 1,748 |
| 42 | Observers for multivariable systems David G. Luenberger · IEEE Transactions on Automatic Control | Apr 1966 | 1,738 |
| 43 | Sequential Monte Carlo Samplers Pierre Del Moral, Arnaud Doucet, Ajay Jasra · Journal of the Royal Statistical Society Series B (Statistical Methodology) | 15 May 2006 | 1,720 |
| 44 | Particle filters for positioning, navigation, and tracking Fredrik Gustafsson, Fredrik Gunnarsson, Niclas Bergman et al. · IEEE Transactions on Signal Processing | 2002 | 1,713 |
| 45 | Observing the State of a Linear System David G. Luenberger · IEEE Transactions on Military Electronics | 1964 | 1,677 |
| 46 | Estimation of the probability of an event as a function of several independent variables Strother H. Walker, David B. Duncan · Biometrika | 1967 | 1,629 |
| 47 | Monte Carlo localization for mobile robots Frank Dellaert, D. Fox, Wolfram Burgard et al. | 20 Jan 2003 | 1,624 |
| 48 | Distributed Kalman filtering for sensor networks Reza Olfati‐Saber | 2007 | 1,609 |
| 49 | AN APPROACH TO TIME SERIES SMOOTHING AND FORECASTING USING THE EM ALGORITHM Robert H. Shumway, David S. Stoffer · Journal of Time Series Analysis | Jul 1982 | 1,508 |
| 50 | Gaussian filters for nonlinear filtering problems Kazufumi Ito, Kaiqi Xiong · IEEE Transactions on Automatic Control | May 2000 | 1,504 |
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 a field when OpenAlex files it under one of the field's topics; 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.