Achilleas Zapranis

1.6k total citations
38 papers, 968 citations indexed

About

Achilleas Zapranis is a scholar working on Economics and Econometrics, Finance and Management Science and Operations Research. According to data from OpenAlex, Achilleas Zapranis has authored 38 papers receiving a total of 968 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Economics and Econometrics, 14 papers in Finance and 13 papers in Management Science and Operations Research. Recurrent topics in Achilleas Zapranis's work include Stock Market Forecasting Methods (13 papers), Financial Markets and Investment Strategies (9 papers) and Market Dynamics and Volatility (9 papers). Achilleas Zapranis is often cited by papers focused on Stock Market Forecasting Methods (13 papers), Financial Markets and Investment Strategies (9 papers) and Market Dynamics and Volatility (9 papers). Achilleas Zapranis collaborates with scholars based in Greece and United Kingdom. Achilleas Zapranis's co-authors include Antonis Alexandridis, Apostolos N. Refenes, Gavin Francis, A.N. Refenes, Andrew N. Burgess, Derek W. Bunn and Christos Kollias and has published in prestigious journals such as Expert Systems with Applications, Neurocomputing and Neural Networks.

In The Last Decade

Achilleas Zapranis

37 papers receiving 894 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Achilleas Zapranis Greece 18 316 297 262 193 155 38 968
Antonis Alexandridis Greece 13 198 0.6× 86 0.3× 133 0.5× 105 0.5× 165 1.1× 37 748
Mohd Tahir Ismail Malaysia 13 223 0.7× 219 0.7× 88 0.3× 98 0.5× 139 0.9× 158 705
Xinyu Zhang China 25 401 1.3× 349 1.2× 177 0.7× 244 1.3× 62 0.4× 117 2.2k
Tae Yoon Kim South Korea 18 303 1.0× 463 1.6× 225 0.9× 285 1.5× 127 0.8× 79 1.0k
Peng Shi United States 19 376 1.2× 423 1.4× 171 0.7× 143 0.7× 37 0.2× 64 1.0k
Ani Shabri Malaysia 18 245 0.8× 334 1.1× 170 0.6× 54 0.3× 311 2.0× 134 1.3k
Olaf Korn Germany 12 291 0.9× 162 0.5× 121 0.5× 359 1.9× 52 0.3× 47 720
Eike Brechmann Germany 10 410 1.3× 125 0.4× 110 0.4× 495 2.6× 76 0.5× 13 1.0k
Tim Verdonck Belgium 16 120 0.4× 161 0.5× 295 1.1× 97 0.5× 35 0.2× 80 1.3k
Tucker McElroy United States 13 310 1.0× 153 0.5× 58 0.2× 215 1.1× 36 0.2× 104 718

Countries citing papers authored by Achilleas Zapranis

Since Specialization
Citations

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

Fields of papers citing papers by Achilleas Zapranis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Achilleas Zapranis

This figure shows the co-authorship network connecting the top 25 collaborators of Achilleas Zapranis. A scholar is included among the top collaborators of Achilleas Zapranis 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 Achilleas Zapranis. Achilleas Zapranis 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
1.
Alexandridis, Antonis, et al.. (2021). The Effects of Herding on Betas and Idiosyncratic Risk. Journal of Behavioral Finance. 24(2). 131–146. 2 indexed citations
2.
Zapranis, Achilleas, et al.. (2015). Technical Analysis for Algorithmic Pattern Recognition. DIAL (Catholic University of Leuven). 10 indexed citations
3.
Alexandridis, Antonis, et al.. (2014). Testing and comparing conditional CAPM with a new approach in the cross-sectional framework. Kent Academic Repository (University of Kent). 1 indexed citations
4.
Alexandridis, Antonis & Achilleas Zapranis. (2014). Wavelet Neural Networks: With Applications in Financial Engineering, Chaos, and Classification. CERN Document Server (European Organization for Nuclear Research). 19 indexed citations
5.
Alexandridis, Antonis, et al.. (2014). Dynamic time warping as a similarity measure: applications in finance. Kent Academic Repository (University of Kent). 12 indexed citations
6.
Zapranis, Achilleas, et al.. (2014). Herding behaviour and volatility in the Athens Stock Exchange. The Journal of Risk Finance. 15(5). 572–590. 32 indexed citations
7.
Alexandridis, Antonis & Achilleas Zapranis. (2013). Wavelet neural networks: A practical guide. Neural Networks. 42. 1–27. 216 indexed citations
8.
Alexandridis, Antonis & Achilleas Zapranis. (2012). Weather Derivatives: Modeling and Pricing Weather-Related Risk. Medical Entomology and Zoology. 100(2). 938–948. 46 indexed citations
9.
Zapranis, Achilleas, et al.. (2011). A novel, rule-based technical pattern identification mechanism: Identifying and evaluating saucers and resistant levels in the US stock market. Expert Systems with Applications. 39(7). 6301–6308. 22 indexed citations
10.
Zapranis, Achilleas & Antonis Alexandridis. (2009). Weather derivatives pricing: Modeling the seasonal residual variance of an Ornstein–Uhlenbeck temperature process with neural networks. Neurocomputing. 73(1-3). 37–48. 29 indexed citations
11.
Zapranis, Achilleas & Antonis Alexandridis. (2008). Forecasting Cash Money Withdrawals Using Wavelet Analysis and Wavelet Neural Networks. Kent Academic Repository (University of Kent). 6 indexed citations
12.
Zapranis, Achilleas & Antonis Alexandridis. (2008). Modelling the Temperature Time‐dependent Speed of Mean Reversion in the Context of Weather Derivatives Pricing. Applied Mathematical Finance. 15(4). 355–386. 48 indexed citations
13.
Zapranis, Achilleas, et al.. (2007). Forecasting the Day-Ahead Electricity Price in Nord Pool with Neural Networks: Some Preliminary Results. SSRN Electronic Journal.
14.
Zapranis, Achilleas & Antonis Alexandridis. (2007). Wavelet Neural Networks For Weather Derivatives Pricing. Kent Academic Repository (University of Kent). 1 indexed citations
15.
Zapranis, Achilleas & Antonis Alexandridis. (2007). Modeling Temperature Time-Dependent Mean Reversion with Neural Networks in the Context of Weather Derivatives Pricing. Kent Academic Repository (University of Kent). 1 indexed citations
16.
Zapranis, Achilleas, et al.. (2005). Prediction intervals for neural network models. Annual Conference on Computers. 76. 11 indexed citations
17.
Zapranis, Achilleas, et al.. (2000). Forecasting Corporate Failure with Neural Network Approach: The Greek Case. 13(2). 11. 18 indexed citations
18.
Zapranis, Achilleas, et al.. (1999). Neural model identification, variable selection and model adequacy. Journal of Forecasting. 18(5). 299–332. 32 indexed citations
19.
Zapranis, Achilleas & A.N. Refenes. (1998). Investment management: tactical asset allocation. MIT Press eBooks. 24(1). 491–495. 2 indexed citations
20.
Refenes, A.N., Christos Kollias, & Achilleas Zapranis. (1995). External security determinants of Greek military expenditure: An empirical investigation using Neural networks. Defence and Peace Economics. 6(1). 27–41. 15 indexed citations

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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