F. Papangelou

1.3k total citations
29 papers, 945 citations indexed

About

F. Papangelou is a scholar working on Mathematical Physics, Geometry and Topology and Statistics and Probability. According to data from OpenAlex, F. Papangelou has authored 29 papers receiving a total of 945 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Mathematical Physics, 8 papers in Geometry and Topology and 7 papers in Statistics and Probability. Recurrent topics in F. Papangelou's work include Stochastic processes and statistical mechanics (6 papers), Statistical Methods and Inference (5 papers) and Advanced Topology and Set Theory (5 papers). F. Papangelou is often cited by papers focused on Stochastic processes and statistical mechanics (6 papers), Statistical Methods and Inference (5 papers) and Advanced Topology and Set Theory (5 papers). F. Papangelou collaborates with scholars based in United Kingdom, Germany and Greece. F. Papangelou's co-authors include R. J. Bhansali and Klaus Krickeberg and has published in prestigious journals such as The Annals of Statistics, Transactions of the American Mathematical Society and Pacific Journal of Mathematics.

In The Last Decade

F. Papangelou

29 papers receiving 822 citations

Peers

F. Papangelou
Comparison fields: 5 of 107
  • Electrical and Electronic Engineering 237
  • Computer Networks and Communications 217
  • Applied Mathematics 188
  • Mathematical Physics 181
  • Statistics and Probability 161
Replace Yuliy Baryshnikov with:
Yuliy Baryshnikov United States
Rodney Coleman United Kingdom
Günter Last Germany
Ja‐Yong Koo South Korea
Iosif Il’ich Gihman Russia
Henry Crapo France
M. M. Rao United States
S. P. Lloyd Australia
C. A. Rogers United Kingdom
W. A. Beyer United States
Yuliy Baryshnikov United States View profile →
Citations per field, relative to F. Papangelou
F. Papangelou · 1×
Citations per year, relative to F. Papangelou
F. Papangelou · 1×

Countries citing papers authored by F. Papangelou

Since Specialization
Citations

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

Fields of papers citing papers by F. Papangelou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F. Papangelou

This figure shows the co-authorship network connecting the top 25 collaborators of F. Papangelou. A scholar is included among the top collaborators of F. Papangelou 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 F. Papangelou. F. Papangelou 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
# Work Indexed citations
1 1
2 4
3 6
4 7
5 3
6 16
7 1
8 1
9 2
10 3
11 10
12 3
13 18
14 102
15 4
16 6
17 2
18 18
19 1
20 34

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026