Jan Vlček

1.2k total citations
58 papers, 841 citations indexed

About

Jan Vlček is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Finance. According to data from OpenAlex, Jan Vlček has authored 58 papers receiving a total of 841 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Numerical Analysis, 29 papers in Computational Theory and Mathematics and 16 papers in Finance. Recurrent topics in Jan Vlček's work include Advanced Optimization Algorithms Research (27 papers), Matrix Theory and Algorithms (20 papers) and Iterative Methods for Nonlinear Equations (13 papers). Jan Vlček is often cited by papers focused on Advanced Optimization Algorithms Research (27 papers), Matrix Theory and Algorithms (20 papers) and Iterative Methods for Nonlinear Equations (13 papers). Jan Vlček collaborates with scholars based in Czechia, United States and Belgium. Jan Vlček's co-authors include Ladislav Lukšan, Paolo Angelini, Roberto Motto, Laurent Clerc, Alberto Locarno, Skander Van den Heuvel, Vasco Cúrdia, Werner Roeger, Andrea Gerali and Leonardo Gambacorta and has published in prestigious journals such as Mathematical Programming, Applied Mathematics and Computation and Journal of Computational and Applied Mathematics.

In The Last Decade

Jan Vlček

50 papers receiving 725 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jan Vlček Czechia	15	375	347	270	201	164	58	841
Teemu Pennanen Finland	16	309 0.8×	242 0.7×	261 1.0×	90 0.4×	192 1.2×	53	758
Jeff Dewynne United Kingdom	3	92 0.2×	214 0.6×	811 3.0×	110 0.5×	295 1.8×	3	1.0k
Damien Lamberton France	16	110 0.3×	116 0.3×	914 3.4×	44 0.2×	325 2.0×	30	1.1k
Mihály Kovács Sweden	20	258 0.7×	282 0.8×	422 1.6×	137 0.7×	86 0.5×	66	1.1k
James F. Epperson United States	13	87 0.2×	62 0.2×	559 2.1×	73 0.4×	670 4.1×	21	1.0k
Bernard Lapeyre France	10	96 0.3×	100 0.3×	422 1.6×	54 0.3×	159 1.0×	17	675
Frédéric Abergel France	16	193 0.5×	57 0.2×	392 1.5×	304 1.5×	524 3.2×	65	1.3k
Espen R. Jakobsen Norway	19	367 1.0×	222 0.6×	409 1.5×	149 0.7×	96 0.6×	48	1.0k
Huyên Pham France	21	61 0.2×	43 0.1×	807 3.0×	85 0.4×	268 1.6×	62	1.1k
Josef Teichmann Switzerland	17	94 0.3×	59 0.2×	709 2.6×	19 0.1×	200 1.2×	67	966

Countries citing papers authored by Jan Vlček

Since Specialization

Citations

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

Fields of papers citing papers by Jan Vlček

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Vlček

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Vlček. A scholar is included among the top collaborators of Jan Vlček 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 Jan Vlček. Jan Vlček 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

Karam, Philippe, et al.. (2019). Decomposing the Inflation Dynamics in the Philippines. IMF Working Paper. 19(153). 2 indexed citations

Vlček, Jan & Ladislav Lukšan. (2018). A limited-memory optimization method using the infinitely many times repeated BNS update and conjugate directions. Journal of Computational and Applied Mathematics. 351. 14–28. 1 indexed citations

Berg, Andrew, et al.. (2018). The Monetary Transmission Mechanism in the Tropics: A Case Study Approach. Journal of African Economies. 28(3). 225–251. 5 indexed citations

Vlček, Jan & Ladislav Lukšan. (2018). Properties of the block BFGS update and its application to the limited-memory block BNS method for unconstrained minimization. Numerical Algorithms. 80(3). 957–987. 2 indexed citations

Andrle, Michal, et al.. (2017). Banks' Adjustment to Basel III Reform: A Bank-Level Perspective for Emerging Europe. IMF Working Paper. 17(24). 1–1.

Vlček, Jan, et al.. (2016). Impact of the CNB's Exchange Rate Commitment: Pass-Through to Inflation. SSRN Electronic Journal. 89. 153–167. 1 indexed citations

Bulı́ř, Aleš & Jan Vlček. (2015). Monetary Transmission: Are Emerging Market and Low Income Countries Different?. SSRN Electronic Journal. 4 indexed citations

Andrle, Michal, et al.. (2013). Money Targeting in a Modern Forecasting and Policy Analysis System: an Application to Kenya. IMF Working Paper. 13(239). 1–1. 6 indexed citations

Berg, Andrew, et al.. (2013). Forecasting and Monetary Policy Analysis in Low-Income Countries: Food and non-Food Inflation in Kenya. SSRN Electronic Journal. 5 indexed citations

10.

Lukšan, Ladislav & Jan Vlček. (2013). RECURSIVE FORM OF GENERAL LIMITED MEMORY VARIABLE METRIC METHODS. Kybernetika. 49(2). 224–235. 1 indexed citations

11.

Vlček, Jan & Ladislav Lukšan. (2012). Generalizations of the limited-memory BFGS method based on the quasi-product form of update. Journal of Computational and Applied Mathematics. 241. 116–129. 4 indexed citations

12.

Lukšan, Ladislav, et al.. (2010). Primal interior point method for minimization of generalized minimax functions. Kybernetika. 46(4). 697–721. 2 indexed citations

13.

Lukšan, Ladislav, et al.. (2010). Robust preconditioners for the matrix free truncated Newton method. Czech digital mathematics library. 137–151. 3 indexed citations

14.

Lukšan, Ladislav, et al.. (2009). Primal interior-point method for large sparse minimax optimization. Kybernetika. 45(5). 841–864. 8 indexed citations

15.

Lukšan, Ladislav, et al.. (2009). Algorithm 896. ACM Transactions on Mathematical Software. 36(3). 1–29. 8 indexed citations

16.

Vlček, Jan & Ladislav Lukšan. (2005). Shifted limited-memory variable metric methods for large-scale unconstrained optimization. Journal of Computational and Applied Mathematics. 186(2). 365–390. 24 indexed citations

17.

Lukšan, Ladislav, et al.. (2005). Interior point methods for large-scale nonlinear programming. Optimization methods & software. 20(4-5). 569–582. 9 indexed citations

18.

Vlček, Jan, et al.. (2002). The Iterative Kalman Filter Smoother and Its Applications. RePEc: Research Papers in Economics. 9(17). 2 indexed citations

19.

Beneš, Jaromír, et al.. (2002). Střednědobá makroekonomická predikce - Makroekonomické modely vanalytickém systému ČNB. 1 indexed citations

20.

Lukšan, Ladislav & Jan Vlček. (1996). Optimization of dynamical systems.. Kybernetika. 32. 465–482. 5 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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