Frank Aurzada

724 total citations
44 papers, 344 citations indexed

About

Frank Aurzada is a scholar working on Mathematical Physics, Finance and Management Science and Operations Research. According to data from OpenAlex, Frank Aurzada has authored 44 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Mathematical Physics, 17 papers in Finance and 9 papers in Management Science and Operations Research. Recurrent topics in Frank Aurzada's work include Stochastic processes and statistical mechanics (20 papers), Stochastic processes and financial applications (16 papers) and Probability and Risk Models (9 papers). Frank Aurzada is often cited by papers focused on Stochastic processes and statistical mechanics (20 papers), Stochastic processes and financial applications (16 papers) and Probability and Risk Models (9 papers). Frank Aurzada collaborates with scholars based in Germany, United States and Russia. Frank Aurzada's co-authors include Martin Reisslein, Martin Lévesque, Martin Maier, Mikhail Lifshits, Ki-Dong Lee, Steffen Dereich, Nadine Guillotin‐Plantard, J. H. van Zanten, Michael P. McGarry and G. Joós and has published in prestigious journals such as IEEE Transactions on Communications, Journal of Lightwave Technology and Lecture notes in mathematics.

In The Last Decade

Frank Aurzada

40 papers receiving 318 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frank Aurzada Germany 10 175 133 72 71 37 44 344
Carl Nuzman United States 13 409 2.3× 125 0.9× 16 0.2× 51 0.7× 10 0.3× 45 557
Matthieu Jonckheere France 10 157 0.9× 175 1.3× 32 0.4× 11 0.2× 30 0.8× 45 298
Elena Yudovina United States 7 72 0.4× 31 0.2× 25 0.3× 11 0.2× 21 0.6× 11 162
Xiaoli Wei China 8 21 0.1× 29 0.2× 15 0.2× 131 1.8× 50 1.4× 20 252
Charles Dossal France 9 22 0.1× 11 0.1× 52 0.7× 37 0.5× 9 0.2× 18 234
Jorma K. Merikoski Finland 10 75 0.4× 19 0.1× 11 0.2× 9 0.1× 10 0.3× 62 321
Roudolf Iasnogorodski France 8 133 0.8× 216 1.6× 139 1.9× 37 0.5× 123 3.3× 12 530
Amites Sarkar United States 11 120 0.7× 234 1.8× 40 0.6× 5 0.1× 3 0.1× 32 397
Ryan R. Martin United States 13 48 0.3× 57 0.4× 36 0.5× 5 0.1× 24 0.6× 54 417
Mark Walters United Kingdom 10 42 0.2× 103 0.8× 87 1.2× 5 0.1× 7 0.2× 25 356

Countries citing papers authored by Frank Aurzada

Since Specialization
Citations

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

Fields of papers citing papers by Frank Aurzada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Aurzada

This figure shows the co-authorship network connecting the top 25 collaborators of Frank Aurzada. A scholar is included among the top collaborators of Frank Aurzada 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 Frank Aurzada. Frank Aurzada 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.
Aurzada, Frank, et al.. (2023). Persistence probabilities of weighted sums of stationary Gaussian sequences. Stochastic Processes and their Applications. 159. 286–319.
2.
Aurzada, Frank, Volker Betz, & Mikhail Lifshits. (2023). Scaling limit of stretched Brownian chains. Journal of Physics A Mathematical and Theoretical. 56(43). 435006–435006.
3.
Meister, David, Frank Aurzada, Mikhail Lifshits, & Frank Allgöwer. (2022). Analysis of Time- versus Event-Triggered Consensus for a Single-Integrator Multi-Agent System. 2022 IEEE 61st Conference on Decision and Control (CDC). 441–446. 4 indexed citations
4.
Aurzada, Frank, et al.. (2022). Asymptotics of the Persistence Exponent of Integrated Fractional Brownian Motion and Fractionally Integrated Brownian Motion. Theory of Probability and Its Applications. 67(1). 77–88. 1 indexed citations
5.
Aurzada, Frank, Volker Betz, & Mikhail Lifshits. (2021). Breaking a Chain of Interacting Brownian Particles: A Gumbel Limit Theorem. Theory of Probability and Its Applications. 66(2). 184–208. 2 indexed citations
6.
Aurzada, Frank, et al.. (2021). Разрыв цепочки взаимодействующих броуновских частиц: гумбелева предельная теорема. Теория вероятностей и ее применения. 66(2). 231–260. 2 indexed citations
7.
Aurzada, Frank, Volker Betz, & Mikhail Lifshits. (2021). Universal break law for a class of models of polymer rupture. Journal of Physics A Mathematical and Theoretical. 54(30). 305204–305204. 2 indexed citations
8.
Aurzada, Frank & Mikhail Lifshits. (2019). The First Exit Time of Fractional Brownian Motion from a Parabolic Domain. Theory of Probability and Its Applications. 64(3). 490–497. 2 indexed citations
9.
Aurzada, Frank & Christian Mönch. (2018). Persistence probabilities and a decorrelation inequality for the Rosenblatt process and Hermite processes. Теория вероятностей и ее применения. 63(4). 817–826.
10.
Aurzada, Frank, Nadine Guillotin‐Plantard, & Françoise Pène. (2017). Persistence probabilities for stationary increment processes. Stochastic Processes and their Applications. 128(5). 1750–1771. 9 indexed citations
11.
Aurzada, Frank, et al.. (2016). Random Walks and Branching Processes in Correlated Gaussian Environment. Journal of Statistical Physics. 166(1). 1–23. 2 indexed citations
12.
Aurzada, Frank, et al.. (2015). The First Passage Time Problem Over a Moving Boundary for Asymptotically Stable Lévy Processes. Journal of Theoretical Probability. 29(3). 737–760. 6 indexed citations
13.
Aurzada, Frank, Steffen Dereich, & Mikhail Lifshits. (2014). PERSISTENCE PROBABILITIES FOR A BRIDGE OF AN INTEGRATED SIMPLE RANDOM WALK. 34(1). 1–22. 1 indexed citations
14.
Lévesque, Martin, Frank Aurzada, Martin Maier, & G. Joós. (2014). Coexistence Analysis of H2H and M2M Traffic in FiWi Smart Grid Communications Infrastructures Based on Multi-Tier Business Models. IEEE Transactions on Communications. 62(11). 3931–3942. 17 indexed citations
15.
Aurzada, Frank, Fuchang Gao, Thomas Kühn, Wenbo V. Li, & Qi-Man Shao. (2011). Small Deviations for a Family of Smooth Gaussian Processes. Journal of Theoretical Probability. 26(1). 153–168. 2 indexed citations
16.
Aurzada, Frank, et al.. (2008). Малые уклонения гладких стационарных гауссовских процессов. Теория вероятностей и ее применения. 53(4). 788–798. 2 indexed citations
17.
Aurzada, Frank & Mikhail Lifshits. (2008). Small deviation probability via chaining. Stochastic Processes and their Applications. 118(12). 2344–2368. 9 indexed citations
18.
Aurzada, Frank & Steffen Dereich. (2008). The Coding Complexity of Lévy Processes. Foundations of Computational Mathematics. 9(3). 359–390. 2 indexed citations
19.
Aurzada, Frank & Thomas Simon. (2007). Small ball probabilities for stable convolutions. ESAIM Probability and Statistics. 11. 327–343. 3 indexed citations
20.
Aurzada, Frank. (2007). Small deviations for stable processes via compactness properties of the parameter set. Statistics & Probability Letters. 78(6). 577–581. 3 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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