Alexander Ihler

5.9k total citations · 2 hit papers
112 papers, 3.6k citations indexed

About

Alexander Ihler is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Alexander Ihler has authored 112 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Artificial Intelligence, 36 papers in Computer Networks and Communications and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Alexander Ihler's work include Bayesian Modeling and Causal Inference (43 papers), Machine Learning and Algorithms (28 papers) and Gaussian Processes and Bayesian Inference (14 papers). Alexander Ihler is often cited by papers focused on Bayesian Modeling and Causal Inference (43 papers), Machine Learning and Algorithms (28 papers) and Gaussian Processes and Bayesian Inference (14 papers). Alexander Ihler collaborates with scholars based in United States, China and Ireland. Alexander Ihler's co-authors include Alan S. Willsky, Padhraic Smyth, John W. Fisher, Randolph L. Moses, Erik B. Sudderth, William T. Freeman, Arthur Asuncion, David Newman, Max Welling and Ian R. Porteous and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and Communications of the ACM.

In The Last Decade

Alexander Ihler

104 papers receiving 3.5k citations

Hit Papers

Nonparametric belief propagation for self-localization of... 2005 2026 2012 2019 2005 2008 100 200 300

Peers

Alexander Ihler
Comparison fields: 5 of 158
  • Artificial Intelligence 1.6k
  • Computer Networks and Communications 921
  • Electrical and Electronic Engineering 631
  • Computer Vision and Pattern Recognition 529
  • Signal Processing 298
Replace Hava T. Siegelmann with:
Hava T. Siegelmann United States
Bo Xu China
Takahiro Hara Japan
Yudong Chen China
Sanjoy Dasgupta United States
Lukáš Burget Czechia
Dan Shen United States
Xiao Wu China
Jianmin Jiang China
Hava T. Siegelmann United States View profile →
Citations per field, relative to Alexander Ihler
Alexander Ihler · 1×
Citations per year, relative to Alexander Ihler
Alexander Ihler · 1×

Countries citing papers authored by Alexander Ihler

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Ihler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexander Ihler. 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 Alexander Ihler. The network helps show where Alexander Ihler may publish in the future.

Co-authorship network of co-authors of Alexander Ihler

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Ihler. A scholar is included among the top collaborators of Alexander Ihler based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alexander Ihler. Alexander Ihler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 1
3 10
4
Empirical Study of MC-Dropout in Various Astronomical Observing Conditions.
2
5
Join Graph Decomposition Bounds for Influence Diagrams
2
6
ContextNet: Deep learning for Star Galaxy Classification
3
7
Finite-sample Bounds for Marginal MAP
0
8
Dynamic Importance Sampling for Anytime Bounds of the Partition Function
7
9
Pushing forward marginal map with best-first search
6
10
Incremental region selection for mini-bucket elimination bounds
1
11
Probabilistic variational bounds for graphical models
8
12
Variational Planning for Graph-based MDPs
11
13 185
14
A cluster-cumulant expansion at the fixed points of belief propagation
3
15
Variational algorithms for marginal MAP
21
16
Particle Filtered MCMC-MLE with Connections to Contrastive Divergence
11
17
Learning with Blocks: Composite Likelihood and Contrastive Divergence
24
18
Particle Belief Propagation
74
19
Accuracy bounds for belief propagation
15
20 188

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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