Ch. A. Charalambides
- Statistics and Probability top 1%
- Artificial Intelligence top 10%
- Algebra and Number Theory top 5%
- Applied Mathematics top 5%
- Discrete Mathematics and Combinatorics top 5%
- Co-authors
- Markos V. KoutrasT. CacoullosN. BalakrishnanNickos PapadatosH. PapageorgiouTomasz RychlikAlkiviadis VatopoulosDemosthenes B. Panagiotakos
- Topics
- Statistical Distribution Estimation and Applications (26 papers)Advanced Mathematical Identities (19 papers)Bayesian Methods and Mixture Models (15 papers)
- Partner nations
- GreeceUnited StatesCanada
In The Last Decade
Ch. A. Charalambides
54 papers receiving 545 citations
Peers
Comparison fields: 5 of 72
- Statistics and Probability 267
- Artificial Intelligence 197
- Algebra and Number Theory 192
- Applied Mathematics 168
- Discrete Mathematics and Combinatorics 136
Countries citing papers authored by Ch. A. Charalambides
This map shows the geographic impact of Ch. A. Charalambides'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 Ch. A. Charalambides with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ch. A. Charalambides more than expected).
Fields of papers citing papers by Ch. A. Charalambides
This network shows the impact of papers produced by Ch. A. Charalambides. 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 Ch. A. Charalambides. The network helps show where Ch. A. Charalambides may publish in the future.
Co-authorship network of co-authors of Ch. A. Charalambides
This figure shows the co-authorship network connecting the top 25 collaborators of Ch. A. Charalambides. A scholar is included among the top collaborators of Ch. A. Charalambides 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 Ch. A. Charalambides. Ch. A. Charalambides is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | Discrete q-distributions | 8 |
| 4 | 20 | |
| 5 | 3 | |
| 6 | 107 | |
| 7 | 1 | |
| 8 | Combinatorial Methods in Discrete Distributions (Wiley Series in Probability and Statistics) | 9 |
| 9 | 71 | |
| 10 | 10 | |
| 11 | 8 | |
| 12 | 3 | |
| 13 | 1 | |
| 14 | 10 | |
| 15 | 3 | |
| 16 | 4 | |
| 17 | 24 | |
| 18 | 4 | |
| 19 | 8 | |
| 20 | 2 |
About Ch. A. Charalambides
Ch. A. Charalambides is a scholar working on Algebra and Number Theory, Statistics and Probability and Discrete Mathematics and Combinatorics, having authored 58 papers that have together received 593 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (26 papers), Advanced Mathematical Identities (19 papers) and Bayesian Methods and Mixture Models (15 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (136 citations), Algebra and Number Theory (192 citations) and Statistics and Probability (267 citations). Ch. A. Charalambides has collaborated with scholars based in Greece, United States and Canada. Frequent co-authors include Markos V. Koutras, T. Cacoullos, N. Balakrishnan, Nickos Papadatos, H. Papageorgiou, Tomasz Rychlik, Alkiviadis Vatopoulos, Demosthenes B. Panagiotakos and Stefanos Bonovas. Their work appears in journals such as SIAM Journal on Applied Mathematics, Journal of Applied Probability and Discrete Mathematics.
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.