J. E. Yukich

2.4k citations
74 papers · 1.4k · h-index 19

Impact in

Papers in

J. E. Yukich

74 papers receiving 1.3k citations

Peers

J. E. Yukich
Comparison fields: 5 of 87
  • Statistics and Probability 492
  • Applied Mathematics 551
  • Mathematical Physics 385
  • Computer Graphics and Computer-Aided Design 101
  • Geometry and Topology 164
Replace Günter Last with:
Günter Last Germany
Ilya Molchanov Switzerland
Imre Bárány Hungary
William H. Ruckle United States
Michel Ledoux France
Tailen Hsing United States
Dale E. Varberg United States
George G. Lorentz United States
Harald Luschgy Germany
P. S. Bullen Canada
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Citations per year

Countries citing papers authored by J. E. Yukich

Since Specialization
Citations

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

Fields of papers citing papers by J. E. Yukich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. E. Yukich. 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 J. E. Yukich. The network helps show where J. E. Yukich may publish in the future.

Co-authors

The 25 scholars most cited alongside J. E. Yukich, 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 J. E. Yukich Line = papers co-authored together J. E. Yukich links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997173
2 2003110
3 2001107
4 200266
5 199563
6 200561
7 200549
8 199645
9 199442
10
Weak Convergence of Smoothed Empirical Processes
199239
11 199139
12
LIMIT THEORY FOR POINT PROCESSES IN MANIFOLDS
201330
13 201930
14 199528
15 201926
16 200726
17 200024
18 201322
19 198920
20 200617

About J. E. Yukich

J. E. Yukich is a scholar working on Applied Mathematics, Mathematical Physics, Statistics and Probability, Artificial Intelligence and Computational Theory and Mathematics, having authored 74 papers that have together received 1.4k indexed citations. Recurring topics across this work include Point processes and geometric inequalities (31 papers), Stochastic processes and statistical mechanics (21 papers), Markov Chains and Monte Carlo Methods (11 papers), Bayesian Methods and Mixture Models (11 papers), Topological and Geometric Data Analysis (9 papers), Computational Geometry and Mesh Generation (8 papers), Random Matrices and Applications (8 papers) and Stochastic processes and financial applications (7 papers). The work is most often cited by research in Statistics and Probability (492 citations), Applied Mathematics (551 citations), Mathematical Physics (385 citations), Computer Graphics and Computer-Aided Design (101 citations) and Geometry and Topology (164 citations). J. E. Yukich has collaborated with scholars based in United States, France and Venezuela. Frequent co-authors include Mathew D. Penrose, Adolfo J. Quiróz, Edgar Chávez, Yuliy Baryshnikov, Pierre Calka, Matthias Schulte, Peter W. Shor, Raúl Jiménez, Raphaël Lachièze-Rey and Maxwell B. Stinchcombe. Their work appears in journals such as The Annals of Applied Probability, Stochastic Processes and their Applications, The Annals of Probability, Probability Theory and Related Fields and Journal of Multivariate 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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