Vassilis Vasdekis

906 citations
36 papers · 664 indexed · h-index 15
Topics
Statistical Methods and Bayesian Inference (8 papers)Statistical Methods and Inference (7 papers)Advanced Statistical Methods and Models (5 papers)

In The Last Decade

Vassilis Vasdekis

33 papers receiving 634 citations

Peers

Vassilis Vasdekis
Comparison fields: 5 of 129
  • Periodontics 194
  • Public Health, Environmental and Occupational Health 133
  • Radiology, Nuclear Medicine and Imaging 83
  • Physiology 82
  • Oral Surgery 63
Replace Christine Schäfer with:
Christine Schäfer Germany
Linlin Fan China
Apurva Garg India
Jungkwon Lee South Korea
Mary Elizabeth Bell United States
Antonio Vidal‐Infer Spain
Robert V. Carlson United Kingdom
Carl E. Hopkins United States
Marianna Karamanou Greece
Erin Byrne United States
Vassilis Vasdekis relative to Christine Schäfer Germany Christine Schäfer's profile →
Citations per field
00.5×3.1×
Christine Schäfer · 1×
Citations per year

Countries citing papers authored by Vassilis Vasdekis

Since Specialization
Citations

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

Fields of papers citing papers by Vassilis Vasdekis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vassilis Vasdekis

This figure shows the co-authorship network connecting the top 25 collaborators of Vassilis Vasdekis. A scholar is included among the top collaborators of Vassilis Vasdekis 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 Vassilis Vasdekis. Vassilis Vasdekis 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 11
2 1
3 67
4 21
5 0
6 19
7 1
8 19
9
A general proposal construction for reversible jump MCMC
1
10 26
11 26
12 19
13 1
14 5
15 6
16
A preliminary assessment of the use of household budget survey data for the prediction of individual food consumption.
42
17
Estimation of age- and gender-specific food availability from household budget survey data.
16
18 7
19 76
20 6

About Vassilis Vasdekis

Vassilis Vasdekis is a scholar working on Statistics and Probability, Periodontics and Pharmacy, having authored 36 papers that have together received 664 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (8 papers), Statistical Methods and Inference (7 papers) and Advanced Statistical Methods and Models (5 papers). The work is most often cited by research in Periodontics (194 citations), Pharmacy (45 citations) and Pharmaceutical Science (53 citations). Vassilis Vasdekis has collaborated with scholars based in Greece, United Kingdom and Switzerland. Frequent co-authors include Joanna J. Kamma, Andrea Mombelli, Catherine Giannopoulou, George E. Romanos, Androniki Naska, Theano Kokkinaki, Irini Moustaki, Silvia Cagnone, A Trichopoulou and Filippos Kesisoglou. Their work appears in journals such as Blood, Biometrika and British Journal Of Nutrition.

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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