This map shows the geographic impact of Š. Parimucha'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 Š. Parimucha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Š. Parimucha more than expected).
This network shows the impact of papers produced by Š. Parimucha. 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 Š. Parimucha. The network helps show where Š. Parimucha may publish in the future.
Co-authorship network of co-authors of Š. Parimucha
This figure shows the co-authorship network connecting the top 25 collaborators of Š. Parimucha.
A scholar is included among the top collaborators of Š. Parimucha 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 Š. Parimucha. Š. Parimucha is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Parimucha, Š., et al.. (2019). New tool with GUI for fitting O-C diagrams. 197. 71.2 indexed citations
5.
Parimucha, Š., et al.. (2019). OCFit: Python package for fitting of O-C diagrams. ascl.1 indexed citations
6.
Dubovský, Pavol A., et al.. (2017). FrameSmooth software - new tool for the calibration of astronomical images. 180. 16.2 indexed citations
7.
Vaňko, M., Š. Parimucha, & T. Pribulla. (2007). Photometric study of neglected binary DV Psc. 328(7). 655.4 indexed citations
8.
Parimucha, Š., et al.. (2007). Minima Times of Selected Eclipsing Binaries. IBVS. 5777. 1.13 indexed citations
9.
Pribulla, T., et al.. (2005). New Minima of Selected Eclipsing Close Binaries. IBVS. 5668. 1.11 indexed citations
10.
Parimucha, Š. & M. Vaňko. (2005). Photometry of the variable stars using CCD detectors. I. Photometric reduction.. 35(1). 35–44.3 indexed citations
11.
Vaňko, M., et al.. (2004). New Parameters of the Contact Binary Systems YY CRB and EQ Tau. 13. 151–155.2 indexed citations
12.
Parimucha, Š.. (2003). Properties of a cool component in the symbiotic nova V1016 Cyg. 33(2). 99–106.1 indexed citations
13.
Pribulla, T., D. Chochol, M. Vaňko, & Š. Parimucha. (2002). The First Ground-Based Photometry of Contact Binaries FN Cam and EX Leo. IBVS. 5258. 1.2 indexed citations
14.
Vaňko, M., et al.. (2001). Photoelectric and CCD photometry of eclipsing contact binaries: UV Lyn, FU Dra and AH Aur. 31(2). 129–147.4 indexed citations
15.
Pribulla, T., M. Vaňko, D. Chochol, & Š. Parimucha. (2001). Photoelectric photometry of the eclipsing contact binaries: EF Dra GW Cep and CW Cas. Contributions of the Astronomical Observatory Skalnaté Pleso. 31(1). 26–42.6 indexed citations
16.
Pribulla, T., M. Vaňko, Š. Parimucha, & D. Chochol. (2001). New Photoelectric and CCD Minima and Updated Ephemerides of Selected Eclipsing Binaries. Information Bulletin on Variable Stars. 5056. 1.2 indexed citations
17.
Pribulla, T., et al.. (2000). Period study of the contact system VW Cep. 30(2). 117–139.8 indexed citations
18.
Parimucha, Š., В. П. Архипова, D. Chochol, et al.. (2000). Long-term photometry of the symbiotic nova V1016 Cyg. Contributions of the Astronomical Observatory Skalnaté Pleso. 30(2). 99–116.4 indexed citations
19.
Pribulla, T., D. Chochol, & Š. Parimucha. (1999). Photoelectric Minima of Some Eclipsing Systems. IBVS. 4751. 1.1 indexed citations
20.
Pribulla, T., et al.. (1999). Period and light-curve study of the eclipsing contact binary SW Lac. 29(2). 111–126.3 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.