Heinrich Matzinger

472 citations
43 papers · 192 indexed · h-index 8

Heinrich Matzinger

38 papers receiving 187 citations

Peers

Heinrich Matzinger
Comparison fields: 5 of 42
  • Statistics and Probability 76
  • Mathematical Physics 52
  • Computer Graphics and Computer-Aided Design 20
  • Computational Theory and Mathematics 56
  • Discrete Mathematics and Combinatorics 7
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Countries citing papers authored by Heinrich Matzinger

Since Specialization
Citations

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

Fields of papers citing papers by Heinrich Matzinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 18 scholars most cited alongside Heinrich Matzinger, 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 Heinrich Matzinger Line = papers co-authored together Heinrich Matzinger links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20182
2 20145
3
CLT for the Proportion of Infected Individuals for an Epidemic Model on a Complete Graph
20114
4 20110
5 20063
6 20063
7 20063
8 20067
9 20054
10 20054
11
Convergence of the Stochastic Mesh Estimator for Pricing Bermudan Options
20041
12
Reconstructing a piece of 2-color scenery
20031
13 200310
14
Large deviation based upper bounds for the LCS-problem
20033
15
Reconstructing a random scenery in polynomial time
20021
16
Reconstructing a 2-color scenery in polynomial time by observing it along a simple random walk path with holding
20004
17
Reconstruction of sceneries with correlated colors
19991
18
Reconstructing in 3-color scenery by observing it along a simple random walk path
19996
19 199919
20 19630

About Heinrich Matzinger

Heinrich Matzinger is a scholar working on Statistics and Probability, Discrete Mathematics and Combinatorics and Mathematical Physics, having authored 43 papers that have together received 192 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (12 papers), Stochastic processes and statistical mechanics (11 papers), Statistical Methods and Inference (8 papers), Algorithms and Data Compression (8 papers), Markov Chains and Monte Carlo Methods (7 papers), Topological and Geometric Data Analysis (7 papers), Random Matrices and Applications (5 papers) and Digital Image Processing Techniques (4 papers). The work is most often cited by research in Statistics and Probability (76 citations), Mathematical Physics (52 citations) and Computer Graphics and Computer-Aided Design (20 citations). Heinrich Matzinger has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Silke W. W. Rolles, Matthias Löwe, Athanassios N. Avramidis, Christian Houdré, Jüri Lember, Franz Merkl, Jiangning Chen, Raphael Hauser, Servet Martı́nez and Mi Zhou. Their work appears in journals such as Stochastic Processes and their Applications, Electronic Journal of Probability, The Annals of Applied Probability, Random Structures and Algorithms and Probability Theory and Related Fields.

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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