Anthony C. Constantinou

1.7k citations
42 papers · 957 indexed · 1 hit paper · h-index 16
Topics
Bayesian Modeling and Causal Inference (28 papers)Sports Analytics and Performance (10 papers)Data Quality and Management (8 papers)

In The Last Decade

Anthony C. Constantinou

38 papers receiving 916 citations

Hit Papers

A survey of Bayesian Network structure learning202320262024202520234080120

Peers

Anthony C. Constantinou
Comparison fields: 5 of 129
  • Artificial Intelligence 363
  • Economics and Econometrics 305
  • Management Science and Operations Research 167
  • Orthopedics and Sports Medicine 123
  • Statistics, Probability and Uncertainty 87
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Keying Ye United States
Adriano C. M. Pereira Brazil
Jaime Miranda Chile
Sándor Bozóki Hungary
Barry de Ville United States
Hana Tomášková Czechia
Daniel T. Larose United States
Michel van de Velden Netherlands
Mirka Saarela Finland
Enes Eryarsoy Türkiye
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Citations per field
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Citations per year

Countries citing papers authored by Anthony C. Constantinou

Since Specialization
Citations

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

Fields of papers citing papers by Anthony C. Constantinou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anthony C. Constantinou. 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 Anthony C. Constantinou. The network helps show where Anthony C. Constantinou may publish in the future.

Co-authorship network of co-authors of Anthony C. Constantinou

This figure shows the co-authorship network connecting the top 25 collaborators of Anthony C. Constantinou. A scholar is included among the top collaborators of Anthony C. Constantinou 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 Anthony C. Constantinou. Anthony C. Constantinou 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
#WorkIndexed citations
1 3
2 1
3 0
4 0
5 0
6 0
7 3
8 5
9 18
10 11
11 1
12 7
13 11
14 6
15 3
16 105
17 68
18 16
19 14
20 47

About Anthony C. Constantinou

Anthony C. Constantinou is a scholar working on Artificial Intelligence, Management Science and Operations Research and Statistics and Probability, having authored 42 papers that have together received 957 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (28 papers), Sports Analytics and Performance (10 papers) and Data Quality and Management (8 papers). The work is most often cited by research in Orthopedics and Sports Medicine (123 citations), Management Science and Operations Research (167 citations) and Statistics, Probability and Uncertainty (87 citations). Anthony C. Constantinou has collaborated with scholars based in United Kingdom, Türkiye and Kenya. Frequent co-authors include Norman Fenton, Martin Neil, Neville K. Kitson, William Marsh, Zhigao Guo, Yang Liu, Łukasz Radliński, Barbaros Yet, Eike Luedeling and Keith Shepherd. Their work appears in journals such as PLoS ONE, Expert Systems with Applications and IEEE Access.

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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