Saul Jacka

6.1k citations
53 papers · 3.9k indexed · 2 hit papers · h-index 13

Saul Jacka

50 papers receiving 3.5k citations

Hit Papers

Stochastic Differential Equations: An Introduction with A...2.6k198620261999201250010001.5k2.0k2.5k

Peers

Saul Jacka
Comparison fields: 5 of 140
  • Finance 1.6k
  • Modeling and Simulation 283
  • Mathematical Physics 400
  • Statistics and Probability 330
  • Management Science and Operations Research 457
Replace R. Liptser with:
R. Liptser Israel
Denis Talay France
Paul Dupuis United States
В. М. Золотарев Russia
A. N. Shiryayev Russia
Б. Л. С. Пракаса Рао India
David Applebaum United Kingdom
Gopinath Kallianpur United States
PE United States
Eckhard Platen Australia
Saul Jacka relative to R. Liptser Israel R. Liptser's profile →
Citations per field
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R. Liptser · 1×
Citations per year

Countries citing papers authored by Saul Jacka

Since Specialization
Citations

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

Fields of papers citing papers by Saul Jacka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 19 scholars most cited alongside Saul Jacka, 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 Saul Jacka Line = papers co-authored together Saul Jacka links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20174
2 20151
3 20154
4 20133
5 20090
6 20086
7 20080
8 20053
9 20053
10 20052
11 20052
12 199915
13 19973
14 199537
15 199320
16 199310
17 1991378
18 198816
19
Tracking a Diffusion, and an Application to Weak Convergence
19863
20
Stochastic Calculus and Applications.breakdown →
1986453

About Saul Jacka

Saul Jacka is a scholar working on Finance, Statistics and Probability, Mathematical Physics, Management Science and Operations Research and Management Information Systems, having authored 53 papers that have together received 3.9k indexed citations. Recurring topics across this work include Stochastic processes and financial applications (27 papers), Markov Chains and Monte Carlo Methods (16 papers), Stochastic processes and statistical mechanics (13 papers), Probability and Risk Models (8 papers), Economic theories and models (8 papers), Advanced Queuing Theory Analysis (7 papers), Gene Regulatory Network Analysis (6 papers) and Optimization and Search Problems (4 papers). The work is most often cited by research in Finance (1.6k citations), Modeling and Simulation (283 citations), Mathematical Physics (400 citations), Statistics and Probability (330 citations) and Management Science and Operations Research (457 citations). Saul Jacka has collaborated with scholars based in United Kingdom, Australia and France. Frequent co-authors include Bernt Øksendal, Robert J. Elliott, Gareth O. Roberts, David J. Hand, Martin T. Barlow, Aleksandar Mijatović, Marc Yor, Jon Warren, James R. Lynn and Hiroshi Kunita. Their work appears in journals such as Journal of Applied Probability, Stochastic Processes and their Applications, Advances in Applied Probability, The Annals of Probability and Electronic Journal of Probability.

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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