Heinrich Matzinger

472 total citations
43 papers, 192 citations indexed

About

Heinrich Matzinger is a scholar working on Artificial Intelligence, Statistics and Probability and Mathematical Physics. According to data from OpenAlex, Heinrich Matzinger has authored 43 papers receiving a total of 192 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 18 papers in Statistics and Probability and 12 papers in Mathematical Physics. Recurrent topics in Heinrich Matzinger's work include Bayesian Methods and Mixture Models (12 papers), Stochastic processes and statistical mechanics (11 papers) and Statistical Methods and Inference (8 papers). Heinrich Matzinger is often cited by papers focused on Bayesian Methods and Mixture Models (12 papers), Stochastic processes and statistical mechanics (11 papers) and Statistical Methods and Inference (8 papers). Heinrich Matzinger collaborates with scholars based in United States, Germany and United Kingdom. Heinrich Matzinger's co-authors include Silke W. W. Rolles, Matthias Löwe, Athanassios N. Avramidis, Christian Houdré, Jüri Lember, Franz Merkl, Raphael Hauser, Jiangning Chen, Mi Zhou and Servet Martı́nez and has published in prestigious journals such as Journal of Statistical Physics, Probability Theory and Related Fields and Advances in Applied Probability.

In The Last Decade

Heinrich Matzinger

38 papers receiving 187 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Heinrich Matzinger United States 8 76 66 56 52 36 43 192
Raphaël Lachièze-Rey France 9 91 1.2× 15 0.2× 32 0.6× 85 1.6× 14 0.4× 25 219
Christoph Thäle Germany 12 126 1.7× 29 0.4× 31 0.6× 149 2.9× 42 1.2× 69 409
C. Douglas Howard United States 8 91 1.2× 24 0.4× 31 0.6× 115 2.2× 12 0.3× 13 173
Emanuel Milman Israel 12 64 0.8× 24 0.4× 32 0.6× 69 1.3× 22 0.6× 35 431
D. Yogeshwaran India 8 40 0.5× 14 0.2× 68 1.2× 58 1.1× 17 0.5× 24 216
G. I. Ivchenko Russia 9 75 1.0× 99 1.5× 18 0.3× 75 1.4× 15 0.4× 63 283
Andrew R. Wade United Kingdom 8 73 1.0× 25 0.4× 13 0.2× 132 2.5× 27 0.8× 36 207
Chris Preston Germany 5 67 0.9× 33 0.5× 14 0.3× 119 2.3× 11 0.3× 6 221
Jerzy Jaworski Poland 11 23 0.3× 55 0.8× 68 1.2× 136 2.6× 19 0.5× 35 283
Svante Linusson Sweden 10 47 0.6× 42 0.6× 137 2.4× 120 2.3× 13 0.4× 40 334

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 of co-authors of Heinrich Matzinger

This figure shows the co-authorship network connecting the top 25 collaborators of Heinrich Matzinger. A scholar is included among the top collaborators of Heinrich Matzinger 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 Heinrich Matzinger. Heinrich Matzinger 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
1.
Hauser, Raphael, Jüri Lember, Heinrich Matzinger, & Raul Kangro. (2019). Quantifying the estimation error of principal component vectors. Information and Inference A Journal of the IMA. 9(3). 657–675.
2.
Houdré, Christian & Heinrich Matzinger. (2016). Closeness to the diagonal for longest common subsequences in random words. Electronic Communications in Probability. 21(none). 7 indexed citations
3.
Lember, Jüri, Heinrich Matzinger, & Anna-Lisa Vollmer. (2014). Optimal alignments of longest common subsequences and their path properties. Bernoulli. 20(3). 5 indexed citations
4.
Machado, Fábio P., et al.. (2011). CLT for the Proportion of Infected Individuals for an Epidemic Model on a Complete Graph. 17(2). 209. 4 indexed citations
5.
Matzinger, Heinrich, et al.. (2011). DNA approach to scenery reconstruction. Stochastic Processes and their Applications. 121(11). 2455–2473.
6.
Matzinger, Heinrich & Silke W. W. Rolles. (2006). Finding blocks and other patterns in a random coloring of Z. TU/e Research Portal. 3 indexed citations
7.
Hauser, Raphael, Servet Martı́nez, & Heinrich Matzinger. (2006). Large deviations-based upper bounds on the expected relative length of longest common subsequences. Advances in Applied Probability. 38(3). 827–852. 3 indexed citations
8.
Matzinger, Heinrich & Jüri Lember. (2006). Reconstruction of periodic sceneries seen along a random walk. Stochastic Processes and their Applications. 116(11). 1584–1599. 3 indexed citations
9.
Matzinger, Heinrich, et al.. (2005). Markers for error-corrupted observations. Stochastic Processes and their Applications. 116(5). 807–829. 4 indexed citations
10.
Matzinger, Heinrich, et al.. (2004). Convergence of the Stochastic Mesh Estimator for Pricing Bermudan Options. SSRN Electronic Journal. 1 indexed citations
11.
Matzinger, Heinrich, et al.. (2004). Reconstructing a Multicolor Random Scenery seen along a Random Walk Path with Bounded Jumps. Electronic Journal of Probability. 9(none). 9 indexed citations
12.
Lember, Jüri & Heinrich Matzinger. (2003). Reconstructing a piece of 2-color scenery. Data Archiving and Networked Services (DANS). 2002042. 1 indexed citations
13.
Matzinger, Heinrich & Silke W. W. Rolles. (2003). Reconstructing a piece of scenery with polynomially many observations. Stochastic Processes and their Applications. 107(2). 289–300. 10 indexed citations
14.
Hauser, Raphael, Servet Martı́nez, & Heinrich Matzinger. (2003). Large deviation based upper bounds for the LCS-problem. Oxford University Research Archive (ORA) (University of Oxford). 3 indexed citations
15.
Matzinger, Heinrich, et al.. (2002). Reconstructing a random scenery in polynomial time. Data Archiving and Networked Services (DANS). 2002010(6). 337–42. 1 indexed citations
16.
Matzinger, Heinrich. (2000). Reconstructing a 2-color scenery in polynomial time by observing it along a simple random walk path with holding. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 2000002(5). 315–21. 4 indexed citations
17.
Löwe, Matthias & Heinrich Matzinger. (1999). Reconstruction of sceneries with correlated colors. RePEc: Research Papers in Economics. 99032. 1 indexed citations
18.
Matzinger, Heinrich. (1999). Reconstructing in 3-color scenery by observing it along a simple random walk path. Data Archiving and Networked Services (DANS). 2000003. 6 indexed citations
19.
Matzinger, Heinrich. (1999). Reconstructing a three‐color scenery by observing it along a simple random walk path. Random Structures and Algorithms. 15(2). 196–207. 19 indexed citations
20.
Matzinger, Heinrich. (1963). Über den Begriff der uniformen Struktur und die Konvergenz in Booleschen Algebren. Commentarii Mathematici Helvetici. 38(1). 31–55.

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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