Mariana Olvera‐Cravioto

589 total citations
27 papers, 249 citations indexed

About

Mariana Olvera‐Cravioto is a scholar working on Mathematical Physics, Statistical and Nonlinear Physics and Statistics and Probability. According to data from OpenAlex, Mariana Olvera‐Cravioto has authored 27 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Mathematical Physics, 10 papers in Statistical and Nonlinear Physics and 10 papers in Statistics and Probability. Recurrent topics in Mariana Olvera‐Cravioto's work include Stochastic processes and statistical mechanics (19 papers), Complex Network Analysis Techniques (10 papers) and Markov Chains and Monte Carlo Methods (6 papers). Mariana Olvera‐Cravioto is often cited by papers focused on Stochastic processes and statistical mechanics (19 papers), Complex Network Analysis Techniques (10 papers) and Markov Chains and Monte Carlo Methods (6 papers). Mariana Olvera‐Cravioto collaborates with scholars based in United States, Hong Kong and Netherlands. Mariana Olvera‐Cravioto's co-authors include Predrag R. Jelenković, Ningyuan Chen, Zuo‐Jun Max Shen, Nelly Litvak and Peter W. Glynn and has published in prestigious journals such as Mathematics of Operations Research, Journal of Applied Probability and Advances in Applied Probability.

In The Last Decade

Mariana Olvera‐Cravioto

24 papers receiving 239 citations

Peers

Mariana Olvera‐Cravioto
Comparison fields: 5 of 38
  • Mathematical Physics 131
  • Statistical and Nonlinear Physics 113
  • Statistics and Probability 62
  • Management Science and Operations Research 43
  • Finance 34
Replace Nima Anari with:
Nima Anari United States
N. V. Kartashov Ukraine
Benoîte de Saporta France
Rafael Frongillo United States
Mahmoud Zarepour Canada
Jean‐Marie Rolin Belgium
W. B. Vasantha Kandasamy India
Tengyuan Liang United States
N. Likhanov Russia
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Citations per field, relative to Mariana Olvera‐Cravioto
Mariana Olvera‐Cravioto · 1×
Citations per year, relative to Mariana Olvera‐Cravioto
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Countries citing papers authored by Mariana Olvera‐Cravioto

Since Specialization
Citations

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

Fields of papers citing papers by Mariana Olvera‐Cravioto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mariana Olvera‐Cravioto. 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 Mariana Olvera‐Cravioto. The network helps show where Mariana Olvera‐Cravioto may publish in the future.

Co-authorship network of co-authors of Mariana Olvera‐Cravioto

This figure shows the co-authorship network connecting the top 25 collaborators of Mariana Olvera‐Cravioto. A scholar is included among the top collaborators of Mariana Olvera‐Cravioto 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 Mariana Olvera‐Cravioto. Mariana Olvera‐Cravioto 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 0
2 1
3 7
4 3
5 23
6 2
7 3
8 7
9 28
10 19
11 15
12 18
13 8
14 6
15 5
16 2
17 2
18 0
19 10
20 30

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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