André Adler

473 citations
43 papers · 328 · h-index 9

Impact in

Papers in

André Adler

38 papers receiving 298 citations

Peers

André Adler
Comparison fields: 5 of 39
  • Management Science and Operations Research 280
  • Statistics and Probability 157
  • Mathematical Physics 109
  • Finance 107
  • Numerical Analysis 33
Replace Shanchao Yang with:
Shanchao Yang China
Oleg Klesov Ukraine
A. Bozorgnia Iran
Przemysław Matuła Poland
István Fazekas Hungary
Aurel Spătaru Romania
Tapas Kumar Chandra India
V. M. Kruglov Russia
Dalibor Volný France
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Citations per year

Countries citing papers authored by André Adler

Since Specialization
Citations

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

Fields of papers citing papers by André Adler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside André Adler, 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 André Adler Line = papers co-authored together André Adler links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198772
2 198966
3 199721
4 201814
5 199113
6 200611
7 201510
8 200010
9 19978
10 19898
11 20158
12 19918
13 20077
14 20196
15 19945
16 20145
17 20104
18 20194
19 19884
20
An extension of the hong-park version of the chow-robbins theorem on sums of nonintegrable random variables
19953

About André Adler

André Adler is a scholar working on Management Science and Operations Research, Statistics and Probability, Mathematical Physics, Finance and Artificial Intelligence, having authored 43 papers that have together received 328 indexed citations. Recurring topics across this work include Probability and Risk Models (39 papers), Statistical Distribution Estimation and Applications (18 papers), Stochastic processes and statistical mechanics (14 papers), Stochastic processes and financial applications (8 papers), Random Matrices and Applications (6 papers), Financial Risk and Volatility Modeling (6 papers), Bayesian Methods and Mixture Models (6 papers) and Mathematical Approximation and Integration (3 papers). The work is most often cited by research in Management Science and Operations Research (280 citations), Statistics and Probability (157 citations), Mathematical Physics (109 citations), Finance (107 citations) and Numerical Analysis (33 citations). André Adler has collaborated with scholars based in United States, Poland and China. Frequent co-authors include Andrew Rosalsky, Robert L. Taylor, Przemysław Matuła, Yu Miao, Rujun Wang, Michael R. Rampino, Anthony G. Pakes, Rainer Wittmann, Andreas Prokoph and Shanshan Chen. Their work appears in journals such as Journal of Multivariate Analysis, Stochastic Processes and their Applications, Extremes, Journal of Theoretical Probability and Geology.

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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