Mina Ossiander

762 citations
19 papers · 469 · h-index 10

Impact in

    • Statistical Methods and Inference
    • Advanced Statistical Methods and Models
  • Finance top 5%
    • Financial Risk and Volatility Modeling
    • Stochastic processes and financial applications

Papers in

Mina Ossiander

19 papers receiving 422 citations

Peers

Mina Ossiander
Comparison fields: 5 of 63
  • Statistics and Probability 145
  • Finance 110
  • Mathematical Physics 66
  • Global and Planetary Change 114
  • Applied Mathematics 54
Replace Didier Dacunha‐Castelle with:
Didier Dacunha‐Castelle France
Kunio Shimizu Japan
Jerzy Szulga United States
Zakhar Kabluchko Germany
J. H. van Zanten Netherlands
Grace Chan Australia
Reg Kulperger Canada
Clément Dombry France
Moreno Bevilacqua Chile
Lyudmyla Sakhno Ukraine
Mina Ossiander relative to Didier Dacunha‐Castelle France Didier Dacunha‐Castelle's profile →
Citations per field
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Didier Dacunha‐Castelle · 1×
Citations per year

Countries citing papers authored by Mina Ossiander

Since Specialization
Citations

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

Fields of papers citing papers by Mina Ossiander

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Mina Ossiander, 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 Mina Ossiander Line = papers co-authored together Mina Ossiander links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2009125
2 1987106
3 200061
4 199438
5 198829
6 200327
7 200516
8 198515
9 198512
10 201411
11 19899
12 20195
13 19975
14
ON ESTIMATION THEORY FOR MULTIPLICATIVE CASCADES
20162
15 19852
16 19892
17 20162
18 20131
19 20031

About Mina Ossiander

Mina Ossiander is a scholar working on Finance, Statistics and Probability, Mathematical Physics, Applied Mathematics and Environmental Engineering, having authored 19 papers that have together received 469 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (6 papers), Financial Risk and Volatility Modeling (6 papers), Statistical Methods and Inference (5 papers), Navier-Stokes equation solutions (3 papers), Complex Systems and Time Series Analysis (2 papers), Probabilistic and Robust Engineering Design (2 papers), Soil Geostatistics and Mapping (2 papers) and Analysis of environmental and stochastic processes (2 papers). The work is most often cited by research in Statistics and Probability (145 citations), Finance (110 citations), Mathematical Physics (66 citations), Global and Planetary Change (114 citations) and Applied Mathematics (54 citations). Mina Ossiander has collaborated with scholars based in United States, Australia and India. Frequent co-authors include Edward C. Waymire, Marcela Brugnach, Richard F. Keim, J. S. Selker, David E. Rupp, Hira L. Koul, Niels Trolle Andersen, Joel Zinn, Evarist Giné and Ronald Pyke. Their work appears in journals such as Proceedings of the American Mathematical Society, Probability Theory and Related Fields, The Annals of Statistics, Technometrics and Stochastic Processes and their Applications.

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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