Frank Marohn

410 citations
27 papers · 215 · h-index 9

Impact in

    • Statistical Distribution Estimation and Applications
    • Statistical Methods and Inference
  • Finance top 5%
    • Financial Risk and Volatility Modeling
    • Stochastic processes and financial applications

Papers in

    • Financial Risk and Volatility Modeling 14
    • Stochastic processes and financial applications 2
    • Statistical Distribution Estimation and Applications 11
    • Statistical Methods and Inference 3
    • Statistical Methods and Bayesian Inference 2

Frank Marohn

26 papers receiving 196 citations

Peers

Frank Marohn
Comparison fields: 5 of 84
  • Statistics and Probability 78
  • Finance 92
  • Cellular and Molecular Neuroscience 49
  • Statistics, Probability and Uncertainty 19
  • Insect Science 23
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Citations per field
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Citations per year

Countries citing papers authored by Frank Marohn

Since Specialization
Citations

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

Fields of papers citing papers by Frank Marohn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Frank Marohn, 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 Frank Marohn Line = papers co-authored together Frank Marohn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200555
2 199321
3
A First Course on Time Series Analysis : Examples with SAS
200520
4 199814
5 199412
6 200211
7 20009
8 19989
9 20028
10 20028
11 20056
12 20045
13 20025
14 19915
15 19994
16 19954
17 19953
18 19933
19 19973
20 19993

About Frank Marohn

Frank Marohn is a scholar working on Finance, Statistics and Probability, Artificial Intelligence, Global and Planetary Change and Statistics, Probability and Uncertainty, having authored 27 papers that have together received 215 indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (14 papers), Statistical Distribution Estimation and Applications (11 papers), Bayesian Methods and Mixture Models (5 papers), Hydrology and Drought Analysis (4 papers), Probabilistic and Robust Engineering Design (3 papers), Statistical Methods and Inference (3 papers), Statistical Methods and Bayesian Inference (2 papers) and Stochastic processes and financial applications (2 papers). The work is most often cited by research in Statistics and Probability (78 citations), Finance (92 citations), Cellular and Molecular Neuroscience (49 citations), Statistics, Probability and Uncertainty (19 citations) and Insect Science (23 citations). Frank Marohn has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Michael Falk, Karla R. Kaun, Birgit Michels, Martin Heisenberg, Marla B. Sokolowski, Kirsa Neuser, Angela Schipanski, Thomas Hendel, Bertram Gerber and Johannes Hain. Their work appears in journals such as Extremes, Journal of Multivariate Analysis, Scandinavian Journal of Statistics, Journal of Comparative Physiology A and The Annals of Statistics.

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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