Jan Macek
- Analytical Chemistry top 1%
- Fluid Flow and Transfer Processes top 2%
- Pharmacology top 5%
- Computational Mechanics top 5%
- Spectroscopy top 5%
- Co-authors
- Pavel PtáčekJ. Klı́maOldřich VítekM. AdamReinhard TatschlJ KrajíčkováPeter PrieschingJiří Vávra
- Topics
- Advanced Combustion Engine Technologies (42 papers)Combustion and flame dynamics (21 papers)Vehicle emissions and performance (20 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Chromatography AAnnals of the Rheumatic Diseases
- Partner nations
- CzechiaUnited StatesFrance
In The Last Decade
Jan Macek
85 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 117
- Analytical Chemistry 387
- Fluid Flow and Transfer Processes 385
- Pharmacology 269
- Computational Mechanics 250
- Spectroscopy 211
Countries citing papers authored by Jan Macek
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 13 | |
| 3 | 2 | |
| 4 | A scalable simulation methodology for assessment of SI-engine performance and fuel consumption on component, subsystem and system level | 0 |
| 5 | 7 | |
| 6 | SIMPLE TANK-TO-WHEELS ANALYSIS TOOL FOR FUTURE VEHICLE POWERTRAINS | 5 |
| 7 | 26 | |
| 8 | 87 | |
| 9 | LIMITS OF INTERNAL COMBUSTION ENGINES EFFICIENCY | 1 |
| 10 | Model Based Predictive Control of Combustion Engine with Constraints | 3 |
| 11 | 30 | |
| 12 | 49 | |
| 13 | 24 | |
| 14 | 50 | |
| 15 | 24 | |
| 16 | Hydrogen fueled piston engine - thermodynamic of working cycle | 1 |
| 17 | 22 | |
| 18 | 26 | |
| 19 | 6 | |
| 20 | [The effect of age on the pharmacokinetics of ibuprofen]. | 1 |
About Jan Macek
Jan Macek is a scholar working on Fluid Flow and Transfer Processes, Automotive Engineering and Analytical Chemistry, having authored 92 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (42 papers), Combustion and flame dynamics (21 papers) and Vehicle emissions and performance (20 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (385 citations), Analytical Chemistry (387 citations) and Pharmacology (269 citations). Jan Macek has collaborated with scholars based in Czechia, United States and France. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Chromatography A and Annals of the Rheumatic Diseases.
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.