Evis Këllezi

975 total citations
11 papers, 483 citations indexed

About

Evis Këllezi is a scholar working on Finance, Management Science and Operations Research and Economics and Econometrics. According to data from OpenAlex, Evis Këllezi has authored 11 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Finance, 5 papers in Management Science and Operations Research and 3 papers in Economics and Econometrics. Recurrent topics in Evis Këllezi's work include Stochastic processes and financial applications (7 papers), Financial Risk and Volatility Modeling (4 papers) and Risk and Portfolio Optimization (4 papers). Evis Këllezi is often cited by papers focused on Stochastic processes and financial applications (7 papers), Financial Risk and Volatility Modeling (4 papers) and Risk and Portfolio Optimization (4 papers). Evis Këllezi collaborates with scholars based in Switzerland and United Kingdom. Evis Këllezi's co-authors include Manfred Gilli, Nick Webber and Henri Loubergé and has published in prestigious journals such as Journal of Economic Dynamics and Control, Quantitative Finance and Computational Economics.

In The Last Decade

Evis Këllezi

10 papers receiving 415 citations

Peers

Evis Këllezi
Comparison fields: 5 of 69
  • Finance 291
  • Economics and Econometrics 234
  • Management Science and Operations Research 108
  • Global and Planetary Change 68
  • General Economics, Econometrics and Finance 65
Replace Beatriz Vaz de Melo Mendes with:
Beatriz Vaz de Melo Mendes Brazil
Valdo Durrleman France
Éric Bouyé United Kingdom
Brian C. Monsell United States
Gabriel Frahm Germany
Daniel Berg Germany
Gaël Riboulet France
Diana Roman United Kingdom
Walter Vecchiato Italy
Marie Kratz France
Beatriz Vaz de Melo Mendes Brazil View profile →
Citations per field, relative to Evis Këllezi
Evis Këllezi · 1×
Citations per year, relative to Evis Këllezi
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Countries citing papers authored by Evis Këllezi

Since Specialization
Citations

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

Fields of papers citing papers by Evis Këllezi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Evis Këllezi

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

All Works

11 of 11 papers shown
# Work Indexed citations
1
Using Catastrophe-Linked Securities to Diversity Insurance Risk: A Financial Analysis of Cat Bonds
17
2
An Application of Extreme Value Theory for Measuring Financial Risk
1
3 57
4 12
5 273
6 25
7
An Application of Extreme Value Theory for Measuring Risk
32
8 9
9
Threshold Accepting for Index Tracking
11
10 6
11
Extreme Value Theory for Tail-Related Risk Measures
40

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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