Vladimir Lončar

73 total papers · 773 total citations
30 papers, 351 citations indexed

About

Vladimir Lončar is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Vladimir Lončar has authored 30 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Nuclear and High Energy Physics, 11 papers in Artificial Intelligence and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Vladimir Lončar's work include Particle Detector Development and Performance (11 papers), Particle physics theoretical and experimental studies (10 papers) and Cold Atom Physics and Bose-Einstein Condensates (4 papers). Vladimir Lončar is often cited by papers focused on Particle Detector Development and Performance (11 papers), Particle physics theoretical and experimental studies (10 papers) and Cold Atom Physics and Bose-Einstein Condensates (4 papers). Vladimir Lončar collaborates with scholars based in United States, Switzerland and Serbia. Vladimir Lončar's co-authors include Antun Balaž, Sadhan K. Adhikari, Paulsamy Muruganandam, M. Pierini, J. Ngadiuba, Z. Wu, J. Duarte, Luis E. Young-S., S. Summers and Dylan Rankin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computer Physics Communications and Nature Machine Intelligence.

In The Last Decade

Vladimir Lončar

29 papers receiving 347 citations

Author Peers

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

Author						Papers	Cites
Vladimir Lončar	113	92	76	59	50	30	351
Robert Stewart	91 0.8×	46 0.5×	137 1.8×	37 0.6×	54 1.1×	42	365
S. Pagnutti	52 0.5×	70 0.8×	32 0.4×	107 1.8×	131 2.6×	27	314
A. Taal	76 0.7×	74 0.8×	116 1.5×	22 0.4×	49 1.0×	50	392
J S Reeve	39 0.3×	37 0.4×	16 0.2×	22 0.4×	90 1.8×	38	322
Bruno Van Den Bossche	58 0.5×	43 0.5×	92 1.2×	13 0.2×	25 0.5×	39	341
Jean-Jacques Niez	105 0.9×	109 1.2×	21 0.3×	10 0.2×	50 1.0×	26	345
Miwako Tsuji	45 0.4×	45 0.5×	18 0.2×	11 0.2×	56 1.1×	38	320
Min Soe	134 1.2×	87 0.9×	9 0.1×	10 0.2×	119 2.4×	41	340
John G. Fletcher	40 0.4×	61 0.7×	27 0.4×	13 0.2×	39 0.8×	21	315
Sudip K. Seal	40 0.4×	25 0.3×	147 1.9×	8 0.1×	46 0.9×	44	396

Countries citing papers authored by Vladimir Lončar

Since Specialization

Citations

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

Fields of papers citing papers by Vladimir Lončar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vladimir Lončar

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