Donald Geman
#14,328
Most Influential Person Now
American mathematician
Donald Geman's AcademicInfluence.com Rankings
Donald Gemanmathematics Degrees
Mathematics
#2095
World Rank
#3286
Historical Rank
#837
USA Rank
Measure Theory
#579
World Rank
#808
Historical Rank
#238
USA Rank
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Mathematics
Donald Geman's Degrees
- PhD Mathematics University of California, Berkeley
Why Is Donald Geman Influential?
(Suggest an Edit or Addition)According to Wikipedia, Donald Jay Geman is an American applied mathematician and a leading researcher in the field of machine learning and pattern recognition. He and his brother, Stuart Geman, are very well known for proposing the Gibbs sampler and for the first proof of the convergence of the simulated annealing algorithm, in an article that became a highly cited reference in engineering . He is a professor at the Johns Hopkins University and simultaneously a visiting professor at École Normale Supérieure de Cachan.
Donald Geman's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images (1984) (18958)
- Tackling the widespread and critical impact of batch effects in high-throughput data (2010) (1635)
- Constrained Restoration and the Recovery of Discontinuities (1992) (1240)
- Shape Quantization and Recognition with Randomized Trees (1997) (1225)
- Nonlinear image recovery with half-quadratic regularization (1995) (902)
- An Active Testing Model for Tracking Roads in Satellite Images (1996) (604)
- Boundary Detection by Constrained Optimization (1990) (581)
- Simple decision rules for classifying human cancers from gene expression profiles (2005) (396)
- Coarse-to-Fine Face Detection (2004) (344)
- Classifying Gene Expression Profiles from Pairwise mRNA Comparisons (2004) (338)
- Random fields and inverse problems in imaging (1990) (291)
- Visual Turing test for computer vision systems (2015) (268)
- Bayes Smoothing Algorithms for Segmentation of Binary Images Modeled by Markov Random Fields (1984) (209)
- A Computational Model for Visual Selection (1999) (202)
- Computational Medicine: Translating Models to Clinical Care (2012) (172)
- A coarse-to-fine strategy for multiclass shape detection (2004) (160)
- Robust prostate cancer marker genes emerge from direct integration of inter-study microarray data (2005) (149)
- A Local Time Analysis of Intersections of Brownian Paths in the Plane (1984) (124)
- Comparing machines and humans on a visual categorization test (2011) (118)
- Relative Expression Analysis for Molecular Cancer Diagnosis and Prognosis (2010) (104)
- Merging microarray data from separate breast cancer studies provides a robust prognostic test (2008) (104)
- Large-scale integration of cancer microarray data identifies a robust common cancer signature (2007) (95)
- Hierarchical testing designs for pattern recognition (2005) (93)
- Identifying Tightly Regulated and Variably Expressed Networks by Differential Rank Conservation (DIRAC) (2010) (86)
- DISCUSSION ON THE MEETING ON THE GIBBS SAMPLER AND OTHER MARKOV CHAIN-MONTE CARLO METHODS (1993) (82)
- Stationary Features and Cat Detection (2008) (72)
- A Hierarchy of Support Vector Machines for Pattern Detection (2006) (70)
- Application of the Gibbs distribution to image segmentation (1984) (65)
- A nonlinear filter for film restoration and other problems in image processing (1992) (60)
- Diversity in multimedia information retrieval research (2006) (56)
- A simple and reproducible breast cancer prognostic test (2013) (55)
- A Statistical Framework for Image Category Search from a Mental Picture (2009) (51)
- Occupation Times for Smooth Stationary Processes (1973) (49)
- Invariant Statistics and Coding of Natural Microimages (1998) (48)
- Face detection using coarse-to-fine support vector classifiers (2002) (47)
- The ordering of expression among a few genes can provide simple cancer biomarkers and signal BRCA1 mutations (2009) (45)
- Sequential Learning of Reusable Parts for Object Detection (2003) (43)
- Learning Dysregulated Pathways in Cancers from Differential Variability Analysis (2014) (42)
- Revisiting the tumorigenesis timeline with a data-driven generative model (2019) (42)
- Opinion: Science in the age of selfies (2016) (40)
- Vantage Feature Frames for Fine-Grained Categorization (2013) (40)
- A Design Principle for Coarse-to-Fine Classification (2006) (39)
- Efficient Focusing and Face Detection (1998) (39)
- Experiments in Mental Face Retrieval (2005) (38)
- switchBox: an R package for k-Top Scoring Pairs classifier development (2015) (38)
- Locating texture and object boundaries (1987) (37)
- Randomized Inquiries About Shape: An Application to Handwritten Digit Recognition. (1994) (36)
- On the Variance of the Number of Zeros of a Stationary Gaussian Process (1972) (35)
- Bayesian Image Analysis (1986) (34)
- The Limits of De Novo DNA Motif Discovery (2012) (32)
- Interactive Search for Image Categories by Mental Matching (2007) (31)
- Nonlinear Image Recovery with (1995) (30)
- High resolution time‐course mapping of early transcriptomic, molecular and cellular phenotypes in Huntington's disease CAG knock‐in mice across multiple genetic backgrounds (2017) (29)
- Rank discriminants for predicting phenotypes from RNA expression (2014) (29)
- Confidence Sets for Fine-Grained Categorization and Plant Species Identification (2015) (28)
- Fast face detection with precise pose estimation (2002) (28)
- Remarks on Palm Measures (1973) (27)
- Stochastic model for boundary detection (1987) (27)
- Model-based classification trees (2001) (26)
- Discovering robust protein biomarkers for disease from relative expression reversals in 2‐D DIGE data. (2007) (26)
- Coarse-to-Fine Visual Selection (1999) (26)
- An interactive system for mental face retrieval (2005) (22)
- Real-World Image Annotation and Retrieval: An Introduction to the Special Section (2008) (21)
- Multi-study Integration of Brain Cancer Transcriptomes Reveals Organ-Level Molecular Signatures (2013) (20)
- Modeling and Inverse Problems in Image Analysis (2006) (20)
- Random shifts which preserve measure (1975) (20)
- Tail Risk Constraints and Maximum Entropy (2014) (19)
- Detection Of Roads In Satellite Images (1991) (19)
- Two-transcript gene expression classifiers in the diagnosis and prognosis of human diseases (2009) (19)
- Measuring the Effect of Inter-Study Variability on Estimating Prediction Error (2014) (18)
- Digitizing omics profiles by divergence from a baseline (2018) (18)
- The CardioVascular Research Grid ( CVRG ) Project (2012) (17)
- A Stochastic Feedback Model for Image Retrieval (1999) (17)
- Identification of family-determining residues in PHD fingers (2010) (17)
- Graded Learning for Object Detection (1999) (16)
- Microarray Classification from Several Two-Gene Expression Comparisons (2008) (16)
- Decision tree algorithms for handwritten digit recognition (1998) (15)
- Shape Recognition and Twenty Questions (2007) (14)
- A note on the continuity of local times (1976) (14)
- Bayes smoothing algorithms for segmentation of images modeled by Markov random fields (1984) (13)
- A Comprehensive Statistical Model for Cell Signaling (2011) (12)
- Local times for real and random functions (1976) (11)
- Tracking Cross-Validated Estimates of Prediction Error as Studies Accumulate (2015) (9)
- Recognizing Buildings in Aerial Images (1997) (9)
- Identification of plants from multiple images and botanical IdKeys (2013) (9)
- An argument for mechanism-based statistical inference in cancer (2015) (9)
- Information Pursuit: A Bayesian Framework for Sequential Scene Parsing (2017) (9)
- Splice Expression Variation Analysis (SEVA) for Inter-tumor Heterogeneity of Gene Isoform Usage in Cancer (2016) (9)
- Identifying Personalized Metabolic Signatures in Breast Cancer (2020) (8)
- Longitudinal changes in brain metabolites in healthy subjects and patients with first episode psychosis (FEP): a 7-Tesla MRS study (2020) (7)
- Modeling natural microimage statistics (2000) (7)
- A unified stochastic model for detecting and tracking faces (2005) (7)
- Identification of direction in gene networks from expression and methylation (2013) (6)
- Local times and supermartingales (1974) (6)
- Development of Laser Radar ATR Algorithms: Phase 2. Military Objects (1990) (6)
- Hierarchical object indexing and sequential learning (2004) (5)
- Learning a hierarchy of classifiers for multi-class shape detection (2006) (5)
- Polar sets and Palm measures in the theory of flows (1975) (5)
- Attribute Prototype Learning for Interactive Face Retrieval (2021) (5)
- Interactive image retrieval by mental matching (2006) (4)
- Relative expression analysis for identifying perturbed pathways (2009) (4)
- Ordinal Coding of Image Microstructure (2006) (4)
- Using biological constraints to improve prediction in precision oncology (2021) (4)
- The Trace Model for Object Detection and Tracking (2006) (4)
- Occupation-times for functions with countable level sets and the regeneration of stationary processes (1976) (4)
- On the approximate local growth of multidimensional random fields (1977) (4)
- Dispersion points for linear sets and approximate moduli for some stochastic processes (1979) (3)
- Longitudinal changes in brain metabolites in healthy controls and patients with first episode psychosis: a 7-Tesla MRS study (2023) (3)
- Recurrence of Stationary Sequences (1976) (3)
- Learning Multivariate Distributions by Competitive Assembly of Marginals (2013) (3)
- Smooth perturbations of a function with a smooth local time (1981) (2)
- Hierarchical Testing Designs for Pattern Recognition This Reprint Differs from the Original in Pagination and Typographic Detail. 1 2 (2003) (2)
- Computational Strategies for Model-Based Scene Interpretation (2003) (2)
- The entropy strategy for shape recognition (1994) (2)
- Transformations of Flows by Discrete Random Measures (1974) (2)
- Interpretable by Design: Learning Predictors by Composing Interpretable Queries (2022) (2)
- Coarse-to-Fine Classification and Scene Labeling (2003) (2)
- Eecient Focusing and Face Detection (1997) (2)
- A Note on the Distribution of Hitting Times (1973) (1)
- Self-normalized linear tests (2004) (1)
- On the Increments of Multidimensional Random Fields (1978) (1)
- Images and Multimedia : Indexing, Retrieval and Navigation (2004) (1)
- Object-Level Generative Models for 3D Scene Understanding (2015) (1)
- A Comprehensive Statistical Model for Cell Signaling and Protein Activity Inference (2011) (1)
- Graph Discovery for Visual Test Generation (2021) (1)
- A simple and reproducible breast cancer prognostic test (2013) (1)
- AD-A 237 544 Development of Laser iPadar ATR Algorithms : Phase II-Military Objects PHASE II TECHNICAL REPORT ' . . (1)
- Tree-Structured Neural Decoding (2003) (1)
- Local times for vector functions: Energy integrals and local growth rates (1976) (1)
- Modeling and Inverse Problems in Image Analysis. Bernard Chalmond (2006) (1)
- Efficient Representations of Tumor Diversity with Paired DNA-RNA Anomalies (2020) (1)
- An R package for divergence analysis of omics data (2019) (1)
- Let {Xt, t e RN} be an M-valued stochastic process, RN being N-dimensional (2016) (0)
- Abstract 3577: Splice expression variation analysis (SEVA) for differential gene isoform usage in cancer (2017) (0)
- Scientific Foundations - Pattern recognition and statistical learning (2006) (0)
- Searching for Circumstellar Disks with Space Telescope Observations (1993) (0)
- Model-based Classiication Trees (1998) (0)
- Efficient representations of tumor diversity with paired DNA-RNA aberrations (2020) (0)
- Scientific Foundations - Interactive search and personalization (2004) (0)
- A Mathematical Framework for Image Analysis (1991) (0)
- Robust determination of differential abundance in shotgun proteomics using nonparametric statistics. (2018) (0)
- Graded Learning for Object Detection Frann Cois Fleuret (1999) (0)
- An argument for mechanism-based statistical inference in cancer (2014) (0)
- Abstract 3399: Uncovering hidden sources of transcriptional dysregulation arising from inter- and intra-tumor heterogeneity (2019) (0)
- A Unified Mathematical Approach to Image Analysis. (1987) (0)
- Abstract 5342: Hardwiring mechanism into predicting cancer phenotypes by computational learning (2014) (0)
- switchBox : An R package for k-Top Scoring Pairs ( k TSP ) classifier development (2014) (0)
- Confidence Sets for Fine-Grained Categorization and Plant Species Identification (2014) (0)
- Variational Information Pursuit for Interpretable Predictions (2023) (0)
- CellCover Defines Conserved Cell Types and Temporal Progression in scRNA-seq Data across Mammalian Neocortical Development (2023) (0)
- Image Modeling: A Mathematical Framework for Segmentation and Object Detection. (1987) (0)
- The Trace Model for Multiple Face Tracking (2005) (0)
- New Results - Interactive Retrieval (2004) (0)
- Learning Shape Hierarchies for Shape Detection (2005) (0)
- Coarse-to-fine multiple testing strategies (2015) (0)
- Hum Genet 1 3 techniques from machine learning and statistics applied to specific subtasks (2014) (0)
- Coarse-To-Fine Strategies for Pattern Recognition (0)
- Computation of IRAS Fluxes via a Priori Astrometry (1994) (0)
- New Results - Classification automatique et apprentissage statistique (2002) (0)
- The Trace Model for Object Detection (2005) (0)
- Human olfactory neuronal cells through nasal biopsy: molecular characterization and utility in brain science (2023) (0)
- Abstract 4551: Divergence analysis with coarse coding of omics data across cancer phenotypes (2017) (0)
- Singularities in the distribution of the increments of a smooth function (1977) (0)
- In search of a unifying theory for image interpretation (2006) (0)
- Abstract 3754: Predicting cancer phenotypes with mechanism-driven multi-omics data integration (2015) (0)
- Semantic Image Category Search from a Mental Picture (2008) (0)
- Confluent Brownian motions (1980) (0)
- Stationary features and cat detection {Keynote Presentation viewgraphs) (2008) (0)
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What Schools Are Affiliated With Donald Geman?
Donald Geman is affiliated with the following schools:
