Hermann Singer

975 citations
30 papers · 408 · h-index 14

Impact in

Papers in

    • Financial Risk and Volatility Modeling 10
    • Stochastic processes and financial applications 8
    • Target Tracking and Data Fusion in Sensor Networks 7

Hermann Singer

28 papers receiving 382 citations

Peers

Hermann Singer
Comparison fields: 5 of 87
  • Statistics and Probability 63
  • Experimental and Cognitive Psychology 87
  • Finance 64
  • Statistical and Nonlinear Physics 64
  • Management Science and Operations Research 48
Replace Douglas B. Clarkson with:
Douglas B. Clarkson United States
Silvia Bianconcini Italy
Juhyun Park United Kingdom
Sophie Donnet France
A. V. Metcalfe United Kingdom
Andrew I. Dale South Africa
Alexander Petersen United States
Heather Battey United Kingdom
Gavin Brown Australia
Hirokazu Yanagihara Japan
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Citations per field
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Douglas B. Clarkson · 1×
Citations per year

Countries citing papers authored by Hermann Singer

Since Specialization
Citations

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

Fields of papers citing papers by Hermann Singer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 4 scholars most cited alongside Hermann Singer, 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 Hermann Singer Line = papers co-authored together Hermann Singer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200256
2 199335
3 199128
4 198026
5 200725
6 201224
7 199823
8 199319
9 199516
10 201015
11 200815
12 200615
13 200813
14 199213
15 201512
16 200310
17 201110
18 19849
19
Bayesian Estimation of Volatility with Moment-Based Nonlinear Stochastic Filters
20067
20
A survey of estimation methods for stochastic differential equastions
20047

About Hermann Singer

Hermann Singer is a scholar working on Finance, Artificial Intelligence, Management Science and Operations Research, Economics and Econometrics and Statistical and Nonlinear Physics, having authored 30 papers that have together received 408 indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (10 papers), Stochastic processes and financial applications (8 papers), Target Tracking and Data Fusion in Sensor Networks (7 papers), Forecasting Techniques and Applications (4 papers), Statistical Mechanics and Entropy (4 papers), Statistical and numerical algorithms (4 papers), Hydrology and Drought Analysis (3 papers) and Complex Systems and Time Series Analysis (3 papers). The work is most often cited by research in Statistics and Probability (63 citations), Experimental and Cognitive Psychology (87 citations), Finance (64 citations), Statistical and Nonlinear Physics (64 citations) and Management Science and Operations Research (48 citations). Hermann Singer has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Johan H. L. Oud, Alfred Hamerle, Ingo Peschel and Oliver Grothe. Their work appears in journals such as Journal of Mathematical Sociology, AStA Advances in Statistical Analysis, Econometric Theory, Journal of Computational and Graphical Statistics and World Development.

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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