Maria Kalli

583 citations
12 papers · 329 indexed · h-index 6
Topics
Financial Risk and Volatility Modeling (7 papers)Bayesian Methods and Mixture Models (6 papers)Complex Systems and Time Series Analysis (4 papers)
Journals
SHILAP Revista de lepidopterologíaJournal of EconometricsJournal of Business and Economic Statistics

In The Last Decade

Maria Kalli

12 papers receiving 316 citations

Peers

Maria Kalli
Comparison fields: 5 of 73
  • Artificial Intelligence 199
  • Statistics and Probability 163
  • Finance 91
  • Economics and Econometrics 63
  • Management Science and Operations Research 35
Replace Fabrizio Leisen with:
Fabrizio Leisen United Kingdom
Carlos A. Abanto‐Valle Brazil
Miguel de Carvalho United Kingdom
Marian Hristache France
Valentin Patilea France
Qin Shao United States
Michel Carbon France
Gérard Collomb France
David T. Frazier Australia
Simos G. Meintanis Greece
Maria Kalli relative to Fabrizio Leisen United Kingdom Fabrizio Leisen's profile →
Citations per field
00.5×1.5×1.9×
Fabrizio Leisen · 1×
Citations per year

Countries citing papers authored by Maria Kalli

Since Specialization
Citations

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

Fields of papers citing papers by Maria Kalli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Kalli

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1
Stock Market Liquidity and Return Predictability: A Bayesian Nonparametric Approach
1
2 34
3 2
4 21
5 2
6 10
7 13
8 38
9 2
10 3
11 1
12 202

About Maria Kalli

Maria Kalli is a scholar working on Finance, Management Science and Operations Research and Statistics and Probability, having authored 12 papers that have together received 329 indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (7 papers), Bayesian Methods and Mixture Models (6 papers) and Complex Systems and Time Series Analysis (4 papers). The work is most often cited by research in Statistics and Probability (163 citations), Finance (91 citations) and Artificial Intelligence (199 citations). Maria Kalli has collaborated with scholars based in United Kingdom, United States and Czechia. Frequent co-authors include Jim E. Griffin, Stephen G. Walker, Paul Damien, Jenny R. Billings, Michael Bedford, Paul E. Stevens, Chris Farmer, Simon Coulton and Mark F. J. Steel. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Econometrics and Journal of Business and Economic Statistics.

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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