H. C. P. Berbee

537 citations
14 papers · 338 indexed · h-index 8
Topics
Stochastic processes and statistical mechanics (8 papers)Mathematical Dynamics and Fractals (5 papers)Markov Chains and Monte Carlo Methods (3 papers)
Partner nations
NetherlandsUnited States

In The Last Decade

H. C. P. Berbee

14 papers receiving 285 citations

Peers

H. C. P. Berbee
Comparison fields: 5 of 51
  • Mathematical Physics 157
  • Statistics and Probability 131
  • Finance 80
  • Artificial Intelligence 78
  • Management Science and Operations Research 63
Replace L. Saulis with:
L. Saulis Lithuania
James Kuelbs United States
Robert Cogburn United States
Radu Theodorescu Canada
V. Statulevičius Lithuania
Ralph P. Russo United States
A. M. Zubkov Russia
Kumar Jogdeo United States
N. Etemadi United States
S. C. Williams United States
H. C. P. Berbee relative to L. Saulis Lithuania L. Saulis's profile →
Citations per field
00.5×
L. Saulis · 1×
Citations per year

Countries citing papers authored by H. C. P. Berbee

Since Specialization
Citations

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

Fields of papers citing papers by H. C. P. Berbee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. C. P. Berbee. 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 H. C. P. Berbee. The network helps show where H. C. P. Berbee may publish in the future.

Co-authorship network of co-authors of H. C. P. Berbee

This figure shows the co-authorship network connecting the top 25 collaborators of H. C. P. Berbee. A scholar is included among the top collaborators of H. C. P. Berbee 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 H. C. P. Berbee. H. C. P. Berbee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 2
2 7
3 65
4 41
5 38
6 12
7
Chains with infinite connections: uniqueness and Markov representation
1
8 8
9 1
10 1
11 7
12 7
13 49
14
Random walks with stationary increments and renewal theory
99

About H. C. P. Berbee

H. C. P. Berbee is a scholar working on Mathematical Physics, Statistics and Probability and Finance, having authored 14 papers that have together received 338 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (8 papers), Mathematical Dynamics and Fractals (5 papers) and Markov Chains and Monte Carlo Methods (3 papers). The work is most often cited by research in Mathematical Physics (157 citations), Statistics and Probability (131 citations) and Finance (80 citations). H. C. P. Berbee has collaborated with scholars based in Netherlands and United States. Frequent co-authors include J. F. C. Kingmán, C. G. E. Boender, Robert L. Smith, Jan Telgen, C.L. Scheffer, Ran An, Richard C. Bradley, W.Th.F. den Hollander and R. Syski. Their work appears in journals such as Technometrics, Mathematical Programming and The Annals 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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