Marc Hoffmann

2.0k total citations
62 papers, 1.0k citations indexed

About

Marc Hoffmann is a scholar working on Finance, Statistics and Probability and Economics and Econometrics. According to data from OpenAlex, Marc Hoffmann has authored 62 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Finance, 15 papers in Statistics and Probability and 10 papers in Economics and Econometrics. Recurrent topics in Marc Hoffmann's work include Stochastic processes and financial applications (17 papers), Financial Risk and Volatility Modeling (12 papers) and Statistical Methods and Inference (9 papers). Marc Hoffmann is often cited by papers focused on Stochastic processes and financial applications (17 papers), Financial Risk and Volatility Modeling (12 papers) and Statistical Methods and Inference (9 papers). Marc Hoffmann collaborates with scholars based in France, United States and Germany. Marc Hoffmann's co-authors include Sylvain Delattre, Jean–François Muzy, Emmanuel Bacry, Marie Doumic, Arnaud Gloter, Lydia Robert, Nicolas Fournier, Markus Reiß, Richard Nickl and Albert Cohen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and The Science of The Total Environment.

In The Last Decade

Marc Hoffmann

56 papers receiving 992 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Marc Hoffmann France 18 363 289 260 254 165 62 1.0k
Nicolas Fournier France 17 249 0.7× 373 1.3× 99 0.4× 207 0.8× 35 0.2× 50 1.3k
Nicolas Privault Singapore 19 527 1.5× 269 0.9× 37 0.1× 198 0.8× 144 0.9× 157 1.3k
Jaime San Martı́n Chile 18 692 1.9× 216 0.7× 62 0.2× 219 0.9× 94 0.6× 84 1.4k
Ramón Gutiérrez Jáimez Spain 17 214 0.6× 80 0.3× 50 0.2× 267 1.1× 136 0.8× 82 794
Iosif Il’ich Gihman Russia 7 414 1.1× 175 0.6× 41 0.2× 174 0.7× 141 0.9× 7 1.2k
István Gyöngy United Kingdom 24 1.7k 4.7× 380 1.3× 93 0.4× 106 0.4× 110 0.7× 64 2.2k
Aurélien Alfonsi France 16 907 2.5× 69 0.2× 85 0.3× 76 0.3× 452 2.7× 47 1.2k
Alain‐Sol Sznitman Switzerland 23 517 1.4× 309 1.1× 232 0.9× 807 3.2× 82 0.5× 61 2.2k
Antonio Di Crescenzo Italy 23 268 0.7× 63 0.2× 390 1.5× 1.0k 4.0× 82 0.5× 130 1.9k
Jay Rosen United States 21 646 1.8× 184 0.6× 77 0.3× 319 1.3× 100 0.6× 106 1.5k

Countries citing papers authored by Marc Hoffmann

Since Specialization
Citations

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

Fields of papers citing papers by Marc Hoffmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Hoffmann

This figure shows the co-authorship network connecting the top 25 collaborators of Marc Hoffmann. A scholar is included among the top collaborators of Marc Hoffmann 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 Marc Hoffmann. Marc Hoffmann 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
1.
Kwiatek, Michał, Guru Subramanian Guru Murthy, Marc Hoffmann, et al.. (2025). A First-in-Human Phase I Study of LOXO-338, an Oral Selective Bcl-2 Inhibitor, in Patients With Advanced Hematologic Malignancies. Clinical Lymphoma Myeloma & Leukemia. 25(7). 512–519. 1 indexed citations
2.
Hammerl, Jens A., Andreas J. Stroehlein, Marc Hoffmann, et al.. (2025). Cefiderocol-resistant pathogens in German hospital wastewater: a reservoir for multidrug resistance. Scientific Reports. 15(1). 31622–31622.
3.
Steiner, Raphaël, Allison M. Bock, Alex F. Herrera, et al.. (2024). CTEP 10590, NORM: Nodular Lymphocyte Predominant Hodgkin Lymphoma Patients Treated in a Randomized Phase II Trial with Either Rituximab or Mosunetuzumab. Blood. 144(Supplement 1). 4434.2–4434.2. 1 indexed citations
4.
Mudaranthakam, Dinesh Pal, Marc Hoffmann, Sunil Abhyankar, et al.. (2024). The Use of the Montreal Cognitive Assessment to Predict Neurotoxicity Post CD19 and BCMA CART. Blood. 144(Supplement 1). 5030–5030.
5.
Hoffmann, Marc & Kausik K. Ray. (2024). Nonparametric Bayesian estimation in a multidimensional diffusion model with high frequency data. Probability Theory and Related Fields. 191(1-2). 103–180. 1 indexed citations
6.
Hoffmann, Marc, et al.. (2023). Dispersal density estimation across scales. The Annals of Statistics. 51(3). 1 indexed citations
7.
Hoffmann, Marc, et al.. (2023). Simulating a reference medium for determining bacterial growth in hospital wastewater for Raman spectroscopic investigation. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 305. 123425–123425. 1 indexed citations
8.
Mushtaq, Muhammad Umair, Rajat Bansal, Forat Lutfi, et al.. (2023). Risk Factors and Outcomes for Patients with Persistent Cytopenia Following Administration of CD19 CAR-T Cell Therapy in B Cell Lymphoma. Transplantation and Cellular Therapy. 29(2). S187–S188. 1 indexed citations
9.
Hoffmann, Marc, et al.. (2021). Estimating the Reach of a Manifold via its Convexity Defect Function. Discrete & Computational Geometry. 67(2). 403–438. 10 indexed citations
10.
Hoffmann, Marc, et al.. (2020). Nonparametric estimation for interacting particle systems :\n McKean-Vlasov models. arXiv (Cornell University). 22 indexed citations
11.
Hoffmann, Marc, et al.. (2017). Adaptive estimation for bifurcating Markov chains. SPIRE - Sciences Po Institutional REpository. 7 indexed citations
12.
Hoffmann, Marc, et al.. (2017). Statistical estimation in a randomly structured branching population. HAL (Le Centre pour la Communication Scientifique Directe). 3 indexed citations
13.
Blanchard, Gilles, Marc Hoffmann, & Markus Reiß. (2017). Early stopping for statistical inverse problems via truncated SVD\n estimation. arXiv (Cornell University). 8 indexed citations
14.
Hoffmann, Marc, et al.. (2014). Nonparametric estimation of the division rate of an age dependent\n branching process. arXiv (Cornell University). 19 indexed citations
15.
Prigent, Stéphanie, et al.. (2014). SIZE DISTRIBUTION OF AMYLOID FIBRILS. MATHEMATICAL MODELS AND EXPERIMENTAL DATA. International Journal of Pure and Apllied Mathematics. 93(6). 8 indexed citations
16.
Bacry, Emmanuel, Sylvain Delattre, Marc Hoffmann, & Jean–François Muzy. (2013). Some limit theorems for Hawkes processes and application to financial statistics. Stochastic Processes and their Applications. 123(7). 2475–2499. 126 indexed citations
17.
Doumic, Marie, et al.. (2012). Statistical estimation of a growth-fragmentation model observed on a\n genealogical tree. arXiv (Cornell University). 40 indexed citations
18.
Gloter, Arnaud & Marc Hoffmann. (2004). Stochastic volatility and fractional Brownian motion. Stochastic Processes and their Applications. 113(1). 143–172. 17 indexed citations
19.
Hoffmann, Marc. (2002). Rate of convergence for parametric estimation in a stochastic volatility model. Stochastic Processes and their Applications. 97(1). 147–170. 12 indexed citations
20.
Hoffmann, Marc. (1999). Adaptive estimation in diffusion processes. Stochastic Processes and their Applications. 79(1). 135–163. 69 indexed citations

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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