Petr Šuleř

744 total citations
46 papers, 501 citations indexed

About

Petr Šuleř is a scholar working on Economics and Econometrics, Management Science and Operations Research and Strategy and Management. According to data from OpenAlex, Petr Šuleř has authored 46 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Economics and Econometrics, 8 papers in Management Science and Operations Research and 7 papers in Strategy and Management. Recurrent topics in Petr Šuleř's work include Market Dynamics and Volatility (5 papers), Stock Market Forecasting Methods (5 papers) and Business and Economic Development (5 papers). Petr Šuleř is often cited by papers focused on Market Dynamics and Volatility (5 papers), Stock Market Forecasting Methods (5 papers) and Business and Economic Development (5 papers). Petr Šuleř collaborates with scholars based in Czechia, Slovakia and Ukraine. Petr Šuleř's co-authors include Jaromír Vrbka, Marek Vochоzka, Jakub Horák, Zuzana Rowland, Tomáš Krulický, Anna Maroušková, Rui Dias, Pedro Pardal, Tetyana Vasilyeva and Svitlana Bilan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sustainability and Science and Engineering Ethics.

In The Last Decade

Petr Šuleř

44 papers receiving 478 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Petr Šuleř Czechia	13	167	91	87	78	73	46	501
Jakub Horák Czechia	13	239 1.4×	111 1.2×	98 1.1×	148 1.9×	67 0.9×	55	651
Chengyou Li China	12	267 1.6×	46 0.5×	63 0.7×	93 1.2×	35 0.5×	30	623
Antonio Terceño Spain	13	126 0.8×	68 0.7×	68 0.8×	132 1.7×	21 0.3×	38	487
Mária Mišanková Slovakia	9	103 0.6×	47 0.5×	179 2.1×	121 1.6×	34 0.5×	17	473
Peter Adamko Slovakia	9	140 0.8×	81 0.9×	197 2.3×	104 1.3×	28 0.4×	20	438
Rastislav Rajnoha Slovakia	12	126 0.8×	45 0.5×	54 0.6×	168 2.2×	40 0.5×	46	455
Burç Ülengin Türkiye	13	166 1.0×	85 0.9×	27 0.3×	97 1.2×	33 0.5×	42	575
Fakhrul Hasan United Kingdom	14	205 1.2×	37 0.4×	94 1.1×	104 1.3×	33 0.5×	45	569
Zhiyi Meng China	11	293 1.8×	51 0.6×	65 0.7×	107 1.4×	21 0.3×	23	636

Countries citing papers authored by Petr Šuleř

Since Specialization

Citations

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

Fields of papers citing papers by Petr Šuleř

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Petr Šuleř

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

All Works

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20 of 20 papers shown

Hašková, Simona, et al.. (2024). The impact of the Russia-Ukraine war on the competitiveness of European airlines. SHILAP Revista de lepidopterología. 22(2). 255–277. 1 indexed citations

Klieštik, Tomáš, Iulia Grecu, Pavol Ďurana, et al.. (2024). Enterprise generative artificial intelligence technologies, Internet of Things and blockchain-based fintech management, and digital twin industrial metaverse in the cognitive algorithmic economy. Oeconomia Copernicana. 15(4). 1183–1221. 12 indexed citations

Lăzăroiu, George, Tom Gedeon, Katarína Valášková, et al.. (2024). Cognitive digital twin-based Internet of Robotic Things, multi-sensory extended reality and simulation modeling technologies, and generative artificial intelligence and cyber–physical manufacturing systems in the immersive industrial metaverse. Equilibrium Quarterly Journal of Economics and Economic Policy. 19(3). 719–748. 12 indexed citations

Hašková, Simona, et al.. (2023). A Fuzzy Multi-Criteria Evaluation System for Share Price Prediction: A Tesla Case Study. Mathematics. 11(13). 3033–3033. 3 indexed citations

Hudáková, Mária, et al.. (2022). GLOBAL SURVEY OF CURRENT BARRIERS TO PROJECT RISK MANAGEMENT AND THEIR IMPACT ON PROJECTS. Journal of Business Economics and Management. 23(5). 1194–1210. 3 indexed citations

Dobrovič, Ján, Rastislav Rajnoha, & Petr Šuleř. (2021). Tax evasion in the EU countries following a predictive analysis and a forecast model for Slovakia. Oeconomia Copernicana. 12(3). 701–728. 4 indexed citations

Rowland, Zuzana, et al.. (2021). Prediction of financial distress: Case of mining enterprises in Czech Republic. 15(1). 1–14. 8 indexed citations

Šuleř, Petr, Jakub Horák, & Zuzana Rowland. (2021). SALE AND VALUATION OF A PART OF A BUSINESS UNIT IN THE IDENTIFICATION OF OPERATING ASSETS. 11(1). 303–309.

Kráľ, Pavol, et al.. (2020). Impact of Selected Socio-Demographic Characteristics on Branded Product Preference in Consumer Markets. Management & Marketing. 15(4). 570–586. 16 indexed citations

10.

Brabenec, Tomáš, et al.. (2020). Prediction of the Future Development of Gold Price. Acta Montanistica Slovaca. 25. 9 indexed citations

11.

Кuzmenko, Оlha, et al.. (2020). Data mining and bifurcation analysis of the risk of money laundering with the involvement of financial institutions. JOURNAL OF INTERNATIONAL STUDIES. 13(3). 332–339. 32 indexed citations

12.

Vochоzka, Marek, Jaromír Vrbka, & Petr Šuleř. (2020). Bankruptcy or Success? The Effective Prediction of a Company’s Financial Development Using LSTM. Sustainability. 12(18). 7529–7529. 47 indexed citations

13.

Vrbka, Jaromír, et al.. (2020). Considering seasonal fluctuations in equalizing time series by means of artificial neural networks for predicting development of USA and People´s Republic of China trade balance. SHILAP Revista de lepidopterología. 4 indexed citations

14.

Vrbka, Jaromír, Zuzana Rowland, & Petr Šuleř. (2019). Comparison of neural networks and regression time series in estimating the development of the EU and the PRC trade balance. SHILAP Revista de lepidopterología. 61. 1031–1031. 12 indexed citations

15.

Vochоzka, Marek, Anna Maroušková, & Petr Šuleř. (2017). Economic, Environmental and Moral Acceptance of Renewable Energy: A Case Study—The Agricultural Biogas Plant at Pěčín. Science and Engineering Ethics. 24(1). 299–305. 14 indexed citations

16.

Šuleř, Petr, et al.. (2016). Foreign trade between China and the Czech Republic. 84–95. 5 indexed citations

17.

Šuleř, Petr. (2016). Cash Management of a Company Using Neural Networks. SHILAP Revista de lepidopterología. 125–140. 1 indexed citations

18.

Šuleř, Petr. (2016). Optimizing the capital structure of the company to maximize its profits by using neural networks on the example of building companies. The scientific electronic library of periodicals of the National Academy of Sciences of Ukraine (National Academy of Sciences of Ukraine). 3 indexed citations

19.

Vochоzka, Marek, Anna Maroušková, & Petr Šuleř. (2016). Moral Polemics of Far-Reaching Economic Consequences of Antibiotics Overuse. Science and Engineering Ethics. 23(4). 1035–1040. 4 indexed citations

20.

Vochоzka, Marek, Anna Maroušková, & Petr Šuleř. (2016). Obsolete Laws: Economic and Moral Aspects, Case Study—Composting Standards. Science and Engineering Ethics. 23(6). 1667–1672. 12 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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