George Vacek

34 total papers · 917 total citations
26 papers, 758 citations indexed

About

George Vacek is a scholar working on Atomic and Molecular Physics, and Optics, Spectroscopy and Inorganic Chemistry. According to data from OpenAlex, George Vacek has authored 26 papers receiving a total of 758 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Atomic and Molecular Physics, and Optics, 11 papers in Spectroscopy and 8 papers in Inorganic Chemistry. Recurrent topics in George Vacek's work include Advanced Chemical Physics Studies (18 papers), Inorganic Fluorides and Related Compounds (6 papers) and Spectroscopy and Laser Applications (5 papers). George Vacek is often cited by papers focused on Advanced Chemical Physics Studies (18 papers), Inorganic Fluorides and Related Compounds (6 papers) and Spectroscopy and Laser Applications (5 papers). George Vacek collaborates with scholars based in United States, Germany and Slovakia. George Vacek's co-authors include Henry F. Schaefer, Bradley J. DeLeeuw, Yukio Yamaguchi, J. Russell Thomas, T. Daniel Crawford, Jean-Marc Langlois, Jason K. Perry, John Morrison Galbraith, Peter R. Schreiner and Jerzy Leszczyński and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Chemical Physics and The Journal of Physical Chemistry.

In The Last Decade

George Vacek

25 papers receiving 725 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
George Vacek	554	213	189	156	148	26	758
Rudolf Burcl	636 1.1×	302 1.4×	132 0.7×	126 0.8×	177 1.2×	30	820
Jorge David	507 0.9×	150 0.7×	161 0.9×	148 0.9×	230 1.6×	34	792
Roger J. Suffolk	425 0.8×	254 1.2×	164 0.9×	245 1.6×	134 0.9×	32	700
Camilla Minichino	453 0.8×	162 0.8×	96 0.5×	182 1.2×	210 1.4×	34	704
Mingzuo Shen	457 0.8×	249 1.2×	102 0.5×	220 1.4×	134 0.9×	19	764
Richard G. A. Bone	505 0.9×	319 1.5×	169 0.9×	211 1.4×	289 2.0×	21	902
Sergio Rampino	342 0.6×	235 1.1×	160 0.8×	238 1.5×	181 1.2×	47	897
Demetrios Xenides	573 1.0×	209 1.0×	146 0.8×	114 0.7×	115 0.8×	30	824
Maciej Kołaski	415 0.7×	212 1.0×	72 0.4×	130 0.8×	218 1.5×	21	680
Margarita I. Bernal‐Uruchurtu	456 0.8×	169 0.8×	173 0.9×	180 1.2×	268 1.8×	34	830

Countries citing papers authored by George Vacek

Since Specialization

Citations

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

Fields of papers citing papers by George Vacek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George Vacek

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

All Works

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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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