Milan Cvitkovic

23 total papers · 876 total citations
6 papers, 150 citations indexed

About

Milan Cvitkovic is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Organic Chemistry. According to data from OpenAlex, Milan Cvitkovic has authored 6 papers receiving a total of 150 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Atomic and Molecular Physics, and Optics, 2 papers in Artificial Intelligence and 1 paper in Organic Chemistry. Recurrent topics in Milan Cvitkovic's work include Gaussian Processes and Bayesian Inference (1 paper), Advanced Chemical Physics Studies (1 paper) and scientometrics and bibliometrics research (1 paper). Milan Cvitkovic is often cited by papers focused on Gaussian Processes and Bayesian Inference (1 paper), Advanced Chemical Physics Studies (1 paper) and scientometrics and bibliometrics research (1 paper). Milan Cvitkovic collaborates with scholars based in United States, Singapore and Israel. Milan Cvitkovic's co-authors include Ryan P. A. Bettens, Michael A. Collins, John F. Ouyang, Animashree Anandkumar, Daniela Kohen, Katie E. Blise, Adam Marblestone, Samuel G. Rodriques, Gretchen E. Hofmeister and Yisong Yue and has published in prestigious journals such as Nature, Accounts of Chemical Research and The Journal of Organic Chemistry.

In The Last Decade

Milan Cvitkovic

6 papers receiving 150 citations

Author Peers

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

Author						Papers	Cites
Milan Cvitkovic	88	45	33	28	23	6	150
Jorge L. Gálvez Vallejo	62 0.7×	32 0.7×	49 1.5×	13 0.5×	8 0.3×	14	153
Kristopher Keipert	114 1.3×	65 1.4×	32 1.0×	20 0.7×	23 1.0×	12	226
C. C. Chang	56 0.6×	41 0.9×	18 0.5×	29 1.0×	26 1.1×	12	179
Jeffrey B. Schriber	127 1.4×	49 1.1×	29 0.9×	16 0.6×	7 0.3×	6	171
Roberto Di Remigio	128 1.5×	52 1.2×	57 1.7×	11 0.4×	22 1.0×	14	183
Georg Huhs	64 0.7×	135 3.0×	17 0.5×	20 0.7×	8 0.3×	4	219
J. Emiliano Deustua	161 1.8×	63 1.4×	35 1.1×	15 0.5×	13 0.6×	10	206
Felix Zeller	65 0.7×	59 1.3×	51 1.5×	36 1.3×	60 2.6×	11	223
Andrej Antalík	153 1.7×	76 1.7×	37 1.1×	24 0.9×	14 0.6×	14	263
Davide Avagliano	89 1.0×	64 1.4×	32 1.0×	51 1.8×	17 0.7×	18	197

Countries citing papers authored by Milan Cvitkovic

Since Specialization

Citations

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

Fields of papers citing papers by Milan Cvitkovic

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Milan Cvitkovic

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