Alan S. Willsky

31.9k citations
459 papers · 20.7k indexed · 8 hit papers · h-index 68

Alan S. Willsky

437 papers receiving 19.3k citations

Hit Papers

MAP Estimation Via Agreement on Tre...390197620261992200950010001.5k

Peers

Alan S. Willsky
Comparison fields: 5 of 185
  • Computer Vision and Pattern Recognition 5.9k
  • Signal Processing 3.0k
  • Control and Systems Engineering 5.2k
  • Artificial Intelligence 5.6k
  • Statistics, Probability and Uncertainty 1.0k
Replace Lieven Vandenberghe with:
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Neil Gordon Australia
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Citations per field
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Citations per year

Countries citing papers authored by Alan S. Willsky

Since Specialization
Citations

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

Fields of papers citing papers by Alan S. Willsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alan S. Willsky. 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 Alan S. Willsky. The network helps show where Alan S. Willsky may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Alan S. Willsky, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Alan S. Willsky Line = papers co-authored together Alan S. Willsky links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
New graph-based and MCMC approaches to multi-INT surveillance
201610
2
MCMC and MHT Approaches to Multi-INT surveillance
20154
3
Stochastic Variational Inference for Bayesian Time Series Models
201437
4
High-Dimensional Gaussian Graphical Model Selection: Tractable Graph Families
20115
5
High-Dimensional Graphical Model Selection: Tractable Graph Families and Necessary Conditions
20118
6 20101
7
Nonparametric Bayesian Learning of Switching Linear Dynamical Systems
200898
8
Learning Markov Structure by Maximum Entropy Relaxation
20079
9 2006160
10
Inference with Minimal Communication: a Decision-Theoretic Variational Approach
20058
11
Walk-Sum Interpretation and Analysis of Gaussian Belief Propagation
200532
12 2005188
13
Distributed Occlusion Reasoning for Tracking with Nonparametric Belief Propagation
200460
14
Source localization by enforcing sparsity through a Laplacian prior: an SVD-based approach
200326
15
Exact MAP Estimates by (Hyper)tree Agreement
200221
16
Tree-based reparameterization for approximate inference on loopy graphs
200143
17 19851
18 19792
19 19771
20 197489

About Alan S. Willsky

Alan S. Willsky is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Statistics and Probability, having authored 459 papers that have together received 20.7k indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (64 papers), Image and Signal Denoising Methods (64 papers), Medical Image Segmentation Techniques (52 papers), Bayesian Modeling and Causal Inference (49 papers), Sparse and Compressive Sensing Techniques (41 papers), Fault Detection and Control Systems (40 papers), Control Systems and Identification (36 papers) and Neural Networks and Applications (31 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (5.9k citations), Signal Processing (3.0k citations) and Control and Systems Engineering (5.2k citations). Alan S. Willsky has collaborated with scholars based in United States, France and Türkiye. Frequent co-authors include Müjdat Çetin, Dmitry Malioutov, Andy Tsai, Anthony Yezzi, Erik B. Sudderth, Martin J. Wainwright, Harold E. Jones, Alexander Ihler, Tommi Jaakkola and W.C. Karl. Their work appears in journals such as Journal of Geophysical Research Atmospheres, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Automatic Control.

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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