Jan Macek

1.4k total citations
92 papers, 1.2k citations indexed

About

Jan Macek is a scholar working on Fluid Flow and Transfer Processes, Automotive Engineering and Computational Mechanics. According to data from OpenAlex, Jan Macek has authored 92 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Fluid Flow and Transfer Processes, 26 papers in Automotive Engineering and 23 papers in Computational Mechanics. Recurrent topics in Jan Macek's work include Advanced Combustion Engine Technologies (42 papers), Combustion and flame dynamics (21 papers) and Vehicle emissions and performance (20 papers). Jan Macek is often cited by papers focused on Advanced Combustion Engine Technologies (42 papers), Combustion and flame dynamics (21 papers) and Vehicle emissions and performance (20 papers). Jan Macek collaborates with scholars based in Czechia, United States and France. Jan Macek's co-authors include Pavel Ptáček, J. Klı́ma, Oldřich Vítek, M. Adam, Reinhard Tatschl, J Krajíčková, Peter Priesching, Jiří Vávra, Franz X. Tanner and Michael Valášek and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Chromatography A and Annals of the Rheumatic Diseases.

In The Last Decade

Jan Macek

85 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Macek Czechia 22 387 385 269 250 211 92 1.2k
David Nilsson Sweden 16 203 0.5× 32 0.1× 78 0.3× 95 0.4× 109 0.5× 35 942
Magnus Knutsson Sweden 14 160 0.4× 19 0.0× 21 0.1× 41 0.2× 136 0.6× 51 585
Runsheng Zhang China 19 111 0.3× 10 0.0× 19 0.1× 111 0.4× 146 0.7× 74 806
Rok Dreu Slovenia 19 147 0.4× 28 0.1× 28 0.1× 222 0.9× 67 0.3× 60 1.1k
Magnus Fransson Sweden 17 253 0.7× 16 0.0× 8 0.0× 125 0.5× 61 0.3× 24 677
Jørn Møller Sonnergaard Denmark 18 137 0.4× 41 0.1× 26 0.1× 131 0.5× 41 0.2× 34 1.1k
Dong Eun Lee South Korea 12 9 0.0× 47 0.1× 35 0.1× 168 0.7× 14 0.1× 42 648
E Shotton United Kingdom 20 189 0.5× 99 0.3× 25 0.1× 61 0.2× 66 0.3× 71 1.0k
Chengjun He China 13 19 0.0× 92 0.2× 58 0.2× 49 0.2× 2 0.0× 37 605
Hideaki Tanabe Japan 11 88 0.2× 141 0.4× 2 0.0× 131 0.5× 17 0.1× 33 366

Countries citing papers authored by Jan Macek

Since Specialization
Citations

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

Fields of papers citing papers by Jan Macek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Macek

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Macek. A scholar is included among the top collaborators of Jan Macek 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 Macek. Jan Macek 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.
Macek, Jan, et al.. (2017). Evaluation of the Predictive Capabilities of a Phenomenological Combustion Model for Natural Gas SI Engine. SHILAP Revista de lepidopterología. 15(2). 37–48. 3 indexed citations
2.
Macek, Jan, et al.. (2016). In-Cylinder Heat Transfer Modelling. SHILAP Revista de lepidopterología. 14(3). 2–10. 13 indexed citations
3.
Macek, Jan, et al.. (2016). Evaluation of Experiments on a Twin Scroll Turbocharger Turbine for Calibration of a Complex 1-D Model. SHILAP Revista de lepidopterología. 14(3). 11–18. 2 indexed citations
4.
Tatschl, Reinhard, et al.. (2014). A scalable simulation methodology for assessment of SI-engine performance and fuel consumption on component, subsystem and system level.
5.
Ptáček, Pavel, et al.. (2012). Determination of celecoxib in human plasma by liquid chromatography–tandem mass spectrometry. Journal of Chromatography B. 899. 163–166. 7 indexed citations
6.
Vávra, Jiří, et al.. (2008). SIMPLE TANK-TO-WHEELS ANALYSIS TOOL FOR FUTURE VEHICLE POWERTRAINS. Journal of KONES Powertrain and Transport. 525–534. 5 indexed citations
7.
Macek, Jan, J. Klı́ma, & Pavel Ptáček. (2007). Rapid determination of omeprazole in human plasma by protein precipitation and liquid chromatography–tandem mass spectrometry. Journal of Chromatography B. 852(1-2). 282–287. 26 indexed citations
8.
Macek, Jan, J. Klı́ma, & Pavel Ptáček. (2006). Rapid determination of valsartan in human plasma by protein precipitation and high-performance liquid chromatography. Journal of Chromatography B. 832(1). 169–172. 87 indexed citations
9.
Macek, Jan, et al.. (2005). LIMITS OF INTERNAL COMBUSTION ENGINES EFFICIENCY. Journal of KONES Powertrain and Transport. 201–209. 1 indexed citations
10.
Valášek, Michael, et al.. (2005). Model Based Predictive Control of Combustion Engine with Constraints. 26(3). 349–356. 3 indexed citations
11.
Macek, Jan, J. Klı́ma, & Pavel Ptáček. (2004). Rapid determination of tamsulosin in human plasma by high-performance liquid chromatography using extraction with butyl acetate. Journal of Chromatography B. 809(2). 307–311. 30 indexed citations
12.
Ptáček, Pavel, Jan Macek, & J. Klı́ma. (2003). Liquid chromatographic determination of carvedilol in human plasma. Journal of Chromatography B. 789(2). 405–410. 49 indexed citations
13.
Macek, Jan. (2002). Rapid determination of pseudoephedrine in human plasma by high-performance liquid chromatography. Journal of Chromatography B. 766(2). 289–294. 24 indexed citations
14.
Ptáček, Pavel, J. Klı́ma, & Jan Macek. (2002). Determination of alendronate in human urine as 9-fluorenylmethyl derivative by high-performance liquid chromatography. Journal of Chromatography B. 767(1). 111–116. 50 indexed citations
15.
Ptáček, Pavel, Jan Macek, & J. Klı́ma. (2000). Determination of finasteride in human plasma by liquid–liquid extraction and high-performance liquid chromatography. Journal of Chromatography B Biomedical Sciences and Applications. 738(2). 305–310. 24 indexed citations
16.
Macek, Jan, et al.. (1999). Hydrogen fueled piston engine - thermodynamic of working cycle. Journal of KONES Powertrain and Transport. 70–77. 1 indexed citations
17.
Macek, Jan, Pavel Ptáček, & J. Klı́ma. (1999). Determination of roxithromycin in human plasma by high-performance liquid chromatography with spectrophotometric detection. Journal of Chromatography B Biomedical Sciences and Applications. 723(1-2). 233–238. 22 indexed citations
18.
Macek, Jan, Pavel Ptáček, & J. Klı́ma. (1997). Determination of omeprazole in human plasma by high-performance liquid chromatography. Journal of Chromatography B Biomedical Sciences and Applications. 689(1). 239–243. 26 indexed citations
19.
Macek, Jan, et al.. (1989). Determination of radiolabelled proline and hydroxyproline in collagen hydrolysates by high-performance liquid chromatography with on-line radiometric detection. Journal of Chromatography B Biomedical Sciences and Applications. 488(1). 267–274. 6 indexed citations
20.
Macek, Jan, et al.. (1985). [The effect of age on the pharmacokinetics of ibuprofen].. PubMed. 124(43). 1328–31. 1 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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