Savitzky-Golay Smoothing Filters

On the variation of the initial mass function

Kroupa, P. (2001) · Monthly Notices of the Royal Astronomical Society · doi:10.1046/j.1365-8711.2001.04022.x · Cited by 7,499

Kernel-based object tracking

Comaniciu, D., Ramesh, V., & Meer, P. (2003) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2003.1195991 · Cited by 4,560

A Bayesian model of shape and appearance for subcortical brain segmentation

Patenaude, B., Smith, S. M., Kennedy, D. N., & Jenkinson, M. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.02.046 · Cited by 2,287

Inferring the joint demographic history of multiple populations from multidimensional SNP frequency data

Gutenkunst, R. N., Hernandez, R. D., Williamson, S. H., & Bustamante, C. D. (2009) · PLoS Genetics · doi:10.1371/journal.pgen.1000695 · Cited by 1,906

Ultracold atomic gases in optical lattices: mimicking condensed matter physics and beyond

Lewenstein, M., Sanpera, A., Ahufinger, V., Damski, B., Sen(De), A., & Sen, U. (2007) · Advances in Physics · doi:10.1080/00018730701223200 · Cited by 2,104

Analysis of small-angle scattering data from colloids and polymer solutions: modeling and least-squares fitting

Pedersen, J. S. (1997) · Advances in Colloid and Interface Science · doi:10.1016/s0001-8686(97)00312-6 · Cited by 1,653

Direct estimation of the fiber orientation density function from diffusion-weighted MRI data using spherical deconvolution

Tournier, J.-D., Calamante, F., Gadian, D. G., & Connelly, A. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.037 · Cited by 1,635

The Concave-Convex Procedure

Yuille, A. L., & Rangarajan, A. (2003) · Neural Computation · doi:10.1162/08997660360581958 · Cited by 1,151

Generation of Nonclassical Motional States of a Trapped Atom

Meekhof, D. M., Monroe, C., King, B. E., Itano, W. M., & Wineland, D. J. (1996) · Physical Review Letters · doi:10.1103/physrevlett.76.1796 · Cited by 1,135

Nicotine enhancement of fast excitatory synaptic transmission in CNS by presynaptic receptors

McGehee, D. S., Heath, M. J. S., Gelber, S., Devay, P., & Role, L. W. (1995) · Science · doi:10.1126/science.7569895 · Cited by 1,070

A new, mechanistic model for organic carbon fluxes in the ocean based on the quantitative association of POC with ballast minerals

Armstrong, R. A., Lee, C., Hedges, J. I., Honjo, S., & Wakeham, S. G. (2001) · Deep Sea Research Part II: Topical Studies in Oceanography · doi:10.1016/s0967-0645(01)00101-1 · Cited by 1,064

The Keck Planet Search: Detectability and the Minimum Mass and Orbital Period Distribution of Extrasolar Planets

Cumming, A., Butler, R. P., Marcy, G. W., Vogt, S. S., Wright, J. T., & Fischer, D. A. (2008) · Publications of the Astronomical Society of the Pacific · doi:10.1086/588487 · Cited by 892

Carbon dioxide and climate impulse response functions for the computation of greenhouse gas metrics: a multi-model analysis

Joos, F., Roth, R., Fuglestvedt, J. S., Peters, G. P., Enting, I. G., von Bloh, W., Brovkin, V., Burke, E. J., Eby, M., Edwards, N. R., et al. (2013) · Atmospheric Chemistry and Physics · doi:10.5194/acp-13-2793-2013 · Cited by 839

Experimental Determination of the Motional Quantum State of a Trapped Atom

Leibfried, D., Meekhof, D. M., King, B. E., Monroe, C., Itano, W. M., & Wineland, D. J. (1996) · Physical Review Letters · doi:10.1103/physrevlett.77.4281 · Cited by 688

1/ f Noise in Human Cognition

Gilden, D. L., Thornton, T., & Mallon, M. W. (1995) · Science · doi:10.1126/science.7892611 · Cited by 641

Thermodynamics and NMR of Internal G·T Mismatches in DNA

Allawi, H. T., & SantaLucia, J. (1997) · Biochemistry · doi:10.1021/bi962590c · Cited by 623

Time domain, geometrical and frequency domain analysis of cardiac vagal outflow: effects of various respiratory patterns

Penttilä, J., Helminen, A., Jartti, T., Kuusela, T., Huikuri, H. V., Tulppo, M. P., Coffeng, R., & Scheinin, H. (2001) · Clinical Physiology · doi:10.1046/j.1365-2281.2001.00337.x · Cited by 567

Ungulate Population Models with Predation: A Case Study with the North American Moose

Messier, F. (1994) · Ecology · doi:10.2307/1939551 · Cited by 552

Cognitive emissions of 1/f noise.

Gilden, D. L. (2001) · Psychological Review · doi:10.1037/0033-295x.108.1.33 · Cited by 516

Efficient Visual Search of Videos Cast as Text Retrieval

Sivic, J., & Zisserman, A. (2009) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2008.111 · Cited by 499

Stimulus-dependent synchronization of neuronal responses in the visual cortex of the awake macaque monkey

Kreiter, A., & Singer, W. (1996) · The Journal of Neuroscience · doi:10.1523/jneurosci.16-07-02381.1996 · Cited by 477

Fast and interpretable classification of small X-ray diffraction datasets using data augmentation and deep neural networks

Oviedo, F., Ren, Z., Sun, S., Settens, C., Liu, Z., Hartono, N. T. P., Ramasamy, S., DeCost, B. L., Tian, S. I. P., Romano, G., et al. (2019) · npj Computational Materials · doi:10.1038/s41524-019-0196-x · Cited by 327

Identification of nucleocytoplasmic cycling as a remote sensor in cellular signaling by databased modeling

Swameye, I., Müller, T. G., Timmer, J., Sandra, O., & Klingmüller, U. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0237333100 · Cited by 316

Nonadiabatic Events and Conical Intersections

Matsika, S., & Krause, P. (2011) · Annual Review of Physical Chemistry · doi:10.1146/annurev-physchem-032210-103450 · Cited by 309

A finite element model of high speed metal cutting with adiabatic shearing

Bäker, M., Rösler, J., & Siemers, C. (2002) · Computers & Structures · doi:10.1016/s0045-7949(02)00023-8 · Cited by 189

State of Health (SoH) estimation methods for second life lithium-ion battery—Review and challenges

S, V., Che, H. S., Selvaraj, J., Tey, K. S., Lee, J. W., Shareef, H., & Errouissi, R. (2024) · Applied Energy · doi:10.1016/j.apenergy.2024.123542 · Cited by 190

From Laplace to Supernova SN 1987A: Bayesian Inference in Astrophysics

Loredo, T. J. (1990) · Maximum Entropy and Bayesian Methods · doi:10.1007/978-94-009-0683-9_6 · Cited by 168

Transport properties of heterogeneous materials derived from Gaussian random fields: Bounds and simulation

Roberts, A. P., & Teubner, M. (1995) · Physical Review E · doi:10.1103/physreve.51.4141 · Cited by 153

Identifiability and observability analysis for experimental design in nonlinear dynamical models

Raue, A., Becker, V., Klingmüller, U., & Timmer, J. (2010) · Chaos: An Interdisciplinary Journal of Nonlinear Science · doi:10.1063/1.3528102 · Cited by 137

A kinetic mechanism for nicotinic acetylcholine receptors based on multiple allosteric transitions.

Edelstein, S. J., Schaad, O., Henry, E., Bertrand, D., & Changeux, J.-P. (1996) · Biological Cybernetics · doi:10.1007/s004220050302 · Cited by 134

Pathological tremors: deterministic chaos or nonlinear stochastic oscillators?

Timmer, J., Häussler, S., Lauk, M., & Lücking, C.-H. (2000) · Chaos: An Interdisciplinary Journal of Nonlinear Science · doi:10.1063/1.166494 · Cited by 130

Hybrid optimization method with general switching strategy for parameter estimation.

Balsa-Canto, E., Peifer, M., Banga, J. R., Timmer, J., & Fleck, C. (2008) · BMC Systems Biology · doi:10.1186/1752-0509-2-26 · Cited by 105

Bayesian comparison of explicit and implicit causal inference strategies in multisensory heading perception

Acerbi, L., Dokka, K., Angelaki, D. E., & Ma, W. J. (2018) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1006110 · Cited by 111

Diagnosis of combined faults in rotary machinery by non-naive Bayesian approach

Asr, M. Y., Ettefagh, M. M., Hassannejad, R., & Razavi, S. N. (2017) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2016.08.005 · Cited by 103

Tumor growthin vivo and as multicellular spheroids compared by mathematical models

Marušic, M., Bajzer, Ž., Vuk-Pavlovic, S., & Freyer, J. P. (1994) · Bulletin of Mathematical Biology · doi:10.1007/bf02460714 · Cited by 99

Universality of rain event size distributions

Peters, O., Deluca, A., Corral, A., Neelin, J. D., & Holloway, C. E. (2010) · Journal of Statistical Mechanics: Theory and Experiment · doi:10.1088/1742-5468/2010/11/p11030 · Cited by 96

The advantages of a tapered whisker

Williams, C. M., & Kramer, E. M. (2010) · PLoS ONE · doi:10.1371/journal.pone.0008806 · Cited by 91

Numerical phase correction method for terahertz time-domain reflection spectroscopy

Vartiainen, E. M., Ino, Y., Shimano, R., Kuwata-Gonokami, M., Svirko, Y. P., & Peiponen, K.-E. (2004) · Journal of Applied Physics · doi:10.1063/1.1786345 · Cited by 79

Optimal sampling time selection for parameter estimation in dynamic pathway modeling

Kutalik, Z., Cho, K.-H., & Wolkenhauer, O. (2004) · Biosystems · doi:10.1016/j.biosystems.2004.03.007 · Cited by 79

Matching-pursuit/split-operator-Fourier-transform simulations of excited-state nonadiabatic quantum dynamics in pyrazine

Chen, X., & Batista, V. S. (2006) · The Journal of Chemical Physics · doi:10.1063/1.2356477 · Cited by 73

Computing Accurate Correspondences across Groups of Images

Cootes, T. F., Twining, C. J., Petrovic, V. S., Babalola, K. O., & Taylor, C. J. (2010) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2009.193 · Cited by 70

A software for recording and analysis of human tremor

Lauk, M., Timmer, J., Lücking, C. H., Honerkamp, J., & Deuschl, G. (1999) · Computer Methods and Programs in Biomedicine · doi:10.1016/s0169-2607(99)00012-7 · Cited by 56

Ambulatory monitoring of tremor and other movements before and after thalamotomy: A new quantitative technique

van Someren, E. J. W., van Gool, W. A., Vonk, B. F. M., Mirmiran, M., Speelman, J. D., Bosch, D. A., & Swaab, D. F. (1993) · Journal of the Neurological Sciences · doi:10.1016/0022-510x(93)90148-r · Cited by 56

COTCO2: a cotton growth simulation model for global change

Wall, G. W., Amthor, J. S., & Kimball, B. A. (1994) · Agricultural and Forest Meteorology · doi:10.1016/0168-1923(94)90064-7 · Cited by 55

Real-time monitoring of the overall exchange of oxygen isotopes between aqueous CO 3 2 - and H2O by Raman spectroscopy

Geisler, T., Perdikouri, C., Kasioptas, A., & Dietzel, M. (2012) · Geochimica et Cosmochimica Acta · doi:10.1016/j.gca.2012.04.058 · Cited by 37

Gibbs energies of formation of metal-carbonate solid solutions: part 3. The CaxMn1-xCO3 system at 298 K and 1 bar

McBeath, M. K., Rock, P. A., Casey, W. H., & Mandell, G. K. (1998) · Geochimica et Cosmochimica Acta · doi:10.1016/s0016-7037(98)00190-2 · Cited by 28

Assessment and monitoring of bridges using various camera placements and structural analysis

Bai, Y., Demir, A., Yilmaz, A., & Sezen, H. (2024) · Journal of Civil Structural Health Monitoring · doi:10.1007/s13349-023-00720-6 · Cited by 26

Bridge vibration measurements using different camera placements and techniques of computer vision and deep learning

Bai, Y., Sezen, H., Yilmaz, A., & Qin, R. (2023) · Advances in Bridge Engineering · doi:10.1186/s43251-023-00105-1 · Cited by 19

Prediction of pH and microalgae growth in mixothrophic conditions by nonlinear black-box models for control purposes

Paladino, O., Neviani, M., Ciancio, D., & De Francesco, M. (2024) · Biomass Conversion and Biorefinery · doi:10.1007/s13399-022-03634-3 · Cited by 7

Automatic Displacement and Vibration Measurement in Laboratory Experiments with A Deep Learning Method

Bai, Y., Abduallah, R. M., Sezen, H., & Yilmaz, A. (2021) · 2021 IEEE Sensors · doi:10.1109/sensors47087.2021.9639455 · Cited by 5

Field monitoring and assessment of reinforced concrete building collapse using remote sensing and digital twins

Bai, Y., Sezen, H., Yilmaz, A., & Qin, R. (2026) · Journal of Civil Structural Health Monitoring · doi:10.1007/s13349-025-01044-3