Claudia Kirch

1.4k total citations
48 papers, 808 citations indexed

About

Claudia Kirch is a scholar working on Statistics and Probability, Finance and Economics and Econometrics. According to data from OpenAlex, Claudia Kirch has authored 48 papers receiving a total of 808 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Statistics and Probability, 13 papers in Finance and 10 papers in Economics and Econometrics. Recurrent topics in Claudia Kirch's work include Statistical Methods and Inference (31 papers), Financial Risk and Volatility Modeling (13 papers) and Advanced Statistical Process Monitoring (9 papers). Claudia Kirch is often cited by papers focused on Statistical Methods and Inference (31 papers), Financial Risk and Volatility Modeling (13 papers) and Advanced Statistical Process Monitoring (9 papers). Claudia Kirch collaborates with scholars based in Germany, United Kingdom and Czechia. Claudia Kirch's co-authors include John A. D. Aston, Marie Hušková, Haeran Cho, Dimitris N. Politis, Hernando Ombao, Josef Steinebach, Jürgen Franke, Zdeněk Hlávka, Alexander Meier and Simos G. Meintanis and has published in prestigious journals such as Journal of the American Statistical Association, Biometrika and The Annals of Statistics.

In The Last Decade

Claudia Kirch

44 papers receiving 788 citations

Peers

Claudia Kirch
Comparison fields: 5 of 85
  • Statistics and Probability 519
  • Finance 217
  • Statistics, Probability and Uncertainty 168
  • Economics and Econometrics 163
  • Artificial Intelligence 113
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Chunming Zhang United States
Yoshihide Kakizawa Japan
Boris Brodsky Russia
Stanislav Volgushev Germany
Wolfgang Wefelmeyer Germany
Tatsuya Kubokawa Japan
Gabriel A. Rodriguez‐Yam Mexico
Cheng Yong Tang United States
Wolfgang Polonik United States
Chunming Zhang United States View profile →
Citations per field, relative to Claudia Kirch
Claudia Kirch · 1×
Citations per year, relative to Claudia Kirch
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Countries citing papers authored by Claudia Kirch

Since Specialization
Citations

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

Fields of papers citing papers by Claudia Kirch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudia Kirch

This figure shows the co-authorship network connecting the top 25 collaborators of Claudia Kirch. A scholar is included among the top collaborators of Claudia Kirch 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 Claudia Kirch. Claudia Kirch 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 2
4 12
5 8
6 5
7
21
8
Localised pruning for data segmentation based on multiscale change point procedures
4
9 13
10 85
11 23
12 2
13 54
14
Monitoring time series based on estimating functions
3
15 60
16 56
17 46
18
Changepoint tests for INARCH time series
1
19 27
20 18

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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2026