Marcel Nutz

1.7k citations
43 papers · 660 · h-index 16

Impact in

Papers in

Marcel Nutz

41 papers receiving 614 citations

Peers

Marcel Nutz
Comparison fields: 5 of 51
  • Finance 494
  • Management Science and Operations Research 245
  • General Decision Sciences 22
  • Statistics and Probability 82
  • Applied Mathematics 102
Replace Yongsheng Song with:
Yongsheng Song China
Shaolin Ji China
Alexander S. Cherny Russia
Jan Obłój United Kingdom
Dylan Possamaï France
Giulia Di Nunno Norway
Xiaolu Tan France
Jia-an Yan China
Jean Mémin France
Miklós Rásonyi Hungary
Marcel Nutz relative to Yongsheng Song China Yongsheng Song's profile →
Citations per field
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Citations per year

Countries citing papers authored by Marcel Nutz

Since Specialization
Citations

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

Fields of papers citing papers by Marcel Nutz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Marcel Nutz, 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 Marcel Nutz Line = papers co-authored together Marcel Nutz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201581
2 201363
3 201342
4 201536
5 201430
6 201530
7 202229
8 201227
9 201125
10 201324
11 201423
12 201123
13 201018
14 201417
15 202217
16 202216
17 201015
18 201415
19 201112
20 201711

About Marcel Nutz

Marcel Nutz is a scholar working on Finance, Economics and Econometrics, Management Science and Operations Research, Applied Mathematics and Statistics and Probability, having authored 43 papers that have together received 660 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (28 papers), Economic theories and models (18 papers), Risk and Portfolio Optimization (12 papers), Geometric Analysis and Curvature Flows (8 papers), Financial Risk and Volatility Modeling (8 papers), Nonlinear Partial Differential Equations (6 papers), Markov Chains and Monte Carlo Methods (5 papers) and Insurance, Mortality, Demography, Risk Management (4 papers). The work is most often cited by research in Finance (494 citations), Management Science and Operations Research (245 citations), General Decision Sciences (22 citations), Statistics and Probability (82 citations) and Applied Mathematics (102 citations). Marcel Nutz has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Bruno Bouchard, Ariel Neufeld, Ramon van Handel, Johannes Muhle‐Karbe, H. Meté Soner, Promit Ghosal, Yan Dolinsky, Sara Biagini, Mathias Beiglböck and Constantinos Kardaras. Their work appears in journals such as Finance and Stochastics, Mathematics of Operations Research, Stochastic Processes and their Applications, The Annals of Applied Probability and Mathematical Finance.

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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