Marcel Nutz

1.8k citations
44 papers · 729 · h-index 18

Impact in

Papers in

Marcel Nutz

42 papers receiving 681 citations

Peers

Marcel Nutz
Comparison fields: 5 of 52
  • Finance 549
  • Management Science and Operations Research 276
  • General Decision Sciences 24
  • Statistics and Probability 88
  • Applied Mathematics 109
Replace Alexander S. Cherny with:
Alexander S. Cherny Russia
Shaolin Ji China
Yongsheng Song China
Jan Obłój United Kingdom
Mingshang Hu China
Giulia Di Nunno Norway
Dylan Possamaï France
Xiaolu Tan France
Jia-an Yan China
Jin Ma United States
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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 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201586
2 201365
3 201343
4 201539
5 201432
6 202231
7 201530
8 201229
9 201326
10
Pathwise construction of stochastic integrals
201525
11 201125
12 201424
13 201124
14 201021
15 201421
16 201418
17 202218
18 202218
19 201017
20 201112

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 44 papers that have together received 729 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (29 papers), Economic theories and models (18 papers), Risk and Portfolio Optimization (13 papers), Financial Risk and Volatility Modeling (8 papers), Geometric Analysis and Curvature Flows (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 (549 citations), Management Science and Operations Research (276 citations), General Decision Sciences (24 citations), Statistics and Probability (88 citations) and Applied Mathematics (109 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, H. Meté Soner, Johannes Muhle‐Karbe, Promit Ghosal, Yan Dolinsky, Mathias Beiglböck, Sara Biagini 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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