Stella Kapodistria

20 papers receiving 270 citations

Peers

Stella Kapodistria
Comparison fields: 5 of 55
  • Management Information Systems 156
  • Management Science and Operations Research 82
  • Safety, Risk, Reliability and Quality 80
  • Statistics and Probability 52
  • Electrical and Electronic Engineering 49
Replace Hirotaka Sakasegawa with:
Hirotaka Sakasegawa Japan
Jinhua Cao Taiwan
A. I. Shawky Saudi Arabia
M. H. van Hoorn Netherlands
Maria Vlasiou Netherlands
Ana da Silva Soares Belgium
Koen De Turck Belgium
Manfred Brandt Germany
Keebom Kang United States
Stella Kapodistria relative to Hirotaka Sakasegawa Japan Hirotaka Sakasegawa's profile →
Citations per field
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Hirotaka Sakasegawa · 1×
Citations per year

Countries citing papers authored by Stella Kapodistria

Since Specialization
Citations

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

Fields of papers citing papers by Stella Kapodistria

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stella Kapodistria

This figure shows the co-authorship network connecting the top 25 collaborators of Stella Kapodistria. A scholar is included among the top collaborators of Stella Kapodistria 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 Stella Kapodistria. Stella Kapodistria 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 2
2 19
3 5
4 6
5 8
6 13
7 5
8 11
9 7
10 24
11 28
12 12
13 6
14
Erlang arrivals joining the shorter queue
1
15 30
16 29
17 8
18 32
19 31
20 10

About Stella Kapodistria

Stella Kapodistria is a scholar working on Management Information Systems, Statistics and Probability and Safety, Risk, Reliability and Quality, having authored 20 papers that have together received 287 indexed citations. Recurring topics across this work include Advanced Queuing Theory Analysis (11 papers), Probability and Risk Models (8 papers) and Random Matrices and Applications (6 papers). The work is most often cited by research in Management Information Systems (156 citations), Safety, Risk, Reliability and Quality (80 citations) and Management Science and Operations Research (82 citations). Stella Kapodistria has collaborated with scholars based in Netherlands, Greece and Japan. Frequent co-authors include Antonis Economou, Jacques Resing, Ivo Adan, Onno Boxma, Tuan Phung-Duc, Bert Zwart, Daan Crommelin, Joachim Arts, Vidyadhar G. Kulkarni and Remco van der Hofstad. Their work appears in journals such as European Journal of Operational Research, IEEE Transactions on Sustainable Energy and Annals of Operations Research.

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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