Christian Mazza

1.4k citations
44 papers · 925 indexed · h-index 14

Christian Mazza

41 papers receiving 883 citations

Peers

Christian Mazza
Comparison fields: 5 of 139
  • Anesthesiology and Pain Medicine 100
  • Statistics and Probability 52
  • Ecological Modeling 23
  • Molecular Biology 352
  • Management Science and Operations Research 60
Replace Marco A. R. Ferreira with:
Marco A. R. Ferreira United States
Robert D. Edwards United States
Hongxiao Zhu United States
Asger Hobolth Denmark
Christian A. Yates United Kingdom
Steven R. Dunbar United States
Josep M. Oller Spain
James P. Braselton United States
Claudia Angelini Italy
Myra L. Samuels United States
Christian Mazza relative to Marco A. R. Ferreira United States Marco A. R. Ferreira's profile →
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Marco A. R. Ferreira · 1×
Citations per year

Countries citing papers authored by Christian Mazza

Since Specialization
Citations

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

Fields of papers citing papers by Christian Mazza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Christian Mazza, 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 Christian Mazza Line = papers co-authored together Christian Mazza links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 20233
3 202011
4 201835
5 20183
6 20134
7 201147
8 201118
9 201144
10 20116
11 201073
12 20096
13 20095
14 200716
15 2007285
16 200419
17 20022
18 19992
19 19972
20 199713

About Christian Mazza

Christian Mazza is a scholar working on Acoustics and Ultrasonics, Statistics and Probability, Mathematical Physics, Algebra and Number Theory and Anesthesiology and Pain Medicine, having authored 44 papers that have together received 925 indexed citations. Recurring topics across this work include Evolutionary Game Theory and Cooperation (6 papers), Gene Regulatory Network Analysis (6 papers), Evolution and Genetic Dynamics (6 papers), Stochastic processes and statistical mechanics (5 papers), Random Matrices and Applications (4 papers), Theoretical and Computational Physics (4 papers), Single-cell and spatial transcriptomics (3 papers) and Anesthesia and Pain Management (3 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (100 citations), Statistics and Probability (52 citations), Ecological Modeling (23 citations), Molecular Biology (352 citations) and Management Science and Operations Research (60 citations). Christian Mazza has collaborated with scholars based in Switzerland, France and United States. Frequent co-authors include Nicolas Mermod, Sébastien Perseguers, Didier Rullière, Martin R. Tramèr, Xavier Culebras, Nadia Elia, Eduardo Schiffer, Louis‐Félix Bersier, Rudolf P. Rohr and Patrik Kehrli. Their work appears in journals such as Random Structures and Algorithms, Regional Anesthesia & Pain Medicine, Probability Theory and Related Fields, Insurance Mathematics and Economics and Journal of Mathematical Biology.

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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