Ioannis D. Vrontos

1.1k citations
49 papers · 650 · h-index 13

Impact in

Papers in

    • Financial Risk and Volatility Modeling 36
    • Financial Markets and Investment Strategies 16
    • Stochastic processes and financial applications 4
    • Market Dynamics and Volatility 20
    • Complex Systems and Time Series Analysis 8

Ioannis D. Vrontos

47 papers receiving 635 citations

Peers

Ioannis D. Vrontos
Comparison fields: 5 of 60
  • Finance 490
  • General Economics, Econometrics and Finance 194
  • Economics and Econometrics 398
  • Management Science and Operations Research 125
  • Statistics and Probability 66
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Citations per field
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Citations per year

Countries citing papers authored by Ioannis D. Vrontos

Since Specialization
Citations

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

Fields of papers citing papers by Ioannis D. Vrontos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ioannis D. Vrontos. 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 Ioannis D. Vrontos. The network helps show where Ioannis D. Vrontos may publish in the future.

Co-authors

The 10 scholars most cited alongside Ioannis D. Vrontos, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ioannis D. Vrontos Line = papers co-authored together Ioannis D. Vrontos links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200391
2 200069
3 200862
4 200660
5 200743
6 202035
7 202134
8 201429
9 200827
10 201917
11 201017
12 200716
13 200713
14 201912
15 199911
16 200711
17 200911
18 20198
19 20117
20 20056

About Ioannis D. Vrontos

Ioannis D. Vrontos is a scholar working on Finance, Economics and Econometrics, General Economics, Econometrics and Finance, Management Science and Operations Research and Artificial Intelligence, having authored 49 papers that have together received 650 indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (36 papers), Market Dynamics and Volatility (20 papers), Monetary Policy and Economic Impact (20 papers), Financial Markets and Investment Strategies (16 papers), Forecasting Techniques and Applications (9 papers), Complex Systems and Time Series Analysis (8 papers), Stock Market Forecasting Methods (5 papers) and Stochastic processes and financial applications (4 papers). The work is most often cited by research in Finance (490 citations), General Economics, Econometrics and Finance (194 citations), Economics and Econometrics (398 citations), Management Science and Operations Research (125 citations) and Statistics and Probability (66 citations). Ioannis D. Vrontos has collaborated with scholars based in Greece, United Kingdom and United States. Frequent co-authors include Spyridon D. Vrontos, Πέτρος Δελλαπόρτας, Loukia Meligkotsidou, Dimitris N. Politis, Daniel Giamouridis, Ekaterini Panopoulou, Elias Tzavalis, Panos Xidonas, Serge Galam and Jørgen Vitting Andersen. Their work appears in journals such as Journal of Forecasting, Journal of Banking & Finance, Econometrics Journal, Journal of Empirical Finance and Journal of Statistical Computation and Simulation.

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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