Byron Schmuland

744 citations
27 papers · 463 indexed · h-index 12
Topics
Stochastic processes and financial applications (9 papers)Stochastic processes and statistical mechanics (9 papers)Mathematical Dynamics and Fractals (6 papers)
Partner nations
CanadaGermanyRussia

In The Last Decade

Byron Schmuland

27 papers receiving 412 citations

Peers

Byron Schmuland
Comparison fields: 5 of 57
  • Mathematical Physics 224
  • Finance 145
  • Statistics and Probability 128
  • Applied Mathematics 106
  • Computational Theory and Mathematics 83
Replace Itaru Mitoma with:
Itaru Mitoma Japan
Servet Martı́nez Chile
Dominique Lépingle France
Seiichiro Kusuoka Japan
Firas Rassoul‐Agha United States
Wenbo V. Li United States
Ely Merzbach Israel
Loren D. Pitt United States
Bernard Roynette France
Alexei Kulik Ukraine
Byron Schmuland relative to Itaru Mitoma Japan Itaru Mitoma's profile →
Citations per field
00.5×6.3×
Itaru Mitoma · 1×
Citations per year

Countries citing papers authored by Byron Schmuland

Since Specialization
Citations

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

Fields of papers citing papers by Byron Schmuland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Byron Schmuland

This figure shows the co-authorship network connecting the top 25 collaborators of Byron Schmuland. A scholar is included among the top collaborators of Byron Schmuland 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 Byron Schmuland. Byron Schmuland 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
#WorkIndexed citations
1 3
2 4
3
Yamada-Watanabe theorem for stochastic evolution equations in infinite dimensions
8
4 5
5 26
6 12
7 2
8 8
9 17
10 20
11
Some exceptional con‹gurations
1
12 2
13 2
14 17
15 61
16 8
17 35
18 12
19 8
20 7

About Byron Schmuland

Byron Schmuland is a scholar working on Mathematical Physics, Statistics and Probability and Finance, having authored 27 papers that have together received 463 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (9 papers), Stochastic processes and statistical mechanics (9 papers) and Mathematical Dynamics and Fractals (6 papers). The work is most often cited by research in Mathematical Physics (224 citations), Statistics and Probability (128 citations) and Finance (145 citations). Byron Schmuland has collaborated with scholars based in Canada, Germany and Russia. Frequent co-authors include Michael Röckner, Subhash R. Lele, В. И. Богачев, Wei Sun, Ludger Overbeck, Douglas P. Wiens, Giseon Heo, Donald A. Dawson, Zenghu Li and Julia Johnson. Their work appears in journals such as Journal of the American Statistical Association, American Mathematical Monthly and Journal of Functional Analysis.

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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