Ida Pavlichenko

20 total papers · 582 total citations
14 papers, 489 citations indexed

About

Ida Pavlichenko is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Biomedical Engineering. According to data from OpenAlex, Ida Pavlichenko has authored 14 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electrical and Electronic Engineering, 8 papers in Atomic and Molecular Physics, and Optics and 4 papers in Biomedical Engineering. Recurrent topics in Ida Pavlichenko's work include Photonic Crystals and Applications (8 papers), Photonic and Optical Devices (7 papers) and Plasmonic and Surface Plasmon Research (2 papers). Ida Pavlichenko is often cited by papers focused on Photonic Crystals and Applications (8 papers), Photonic and Optical Devices (7 papers) and Plasmonic and Surface Plasmon Research (2 papers). Ida Pavlichenko collaborates with scholars based in Germany, United States and United Kingdom. Ida Pavlichenko's co-authors include Bettina V. Lotsch, Giuseppe Scarpa, Paolo Lugli, Annekathrin Ranft, Norbert Stock, Lisa R. Volpatti, Heebeom Koo, Haider Butt, Ali Khademhosseini and Ki Su Kim and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Applied Physics Letters and Chemistry of Materials.

In The Last Decade

Ida Pavlichenko

14 papers receiving 481 citations

Author Peers

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

Author						Papers	Cites
Ida Pavlichenko	222	221	182	142	65	14	489
Sebastián Alberti	97 0.4×	229 1.0×	144 0.8×	150 1.1×	16 0.2×	18	466
N. Herzer	130 0.6×	224 1.0×	210 1.2×	177 1.2×	19 0.3×	15	549
Alexey V. Krasnoslobodtsev	69 0.3×	127 0.6×	175 1.0×	162 1.1×	25 0.4×	12	432
Scott T. Reed	64 0.3×	107 0.5×	94 0.5×	369 2.6×	45 0.7×	15	517
Parvin Sharifi	291 1.3×	167 0.8×	114 0.6×	214 1.5×	18 0.3×	11	491
Ming Fang	58 0.3×	108 0.5×	114 0.6×	110 0.8×	23 0.4×	15	407
T. Weiß	85 0.4×	315 1.4×	176 1.0×	160 1.1×	10 0.2×	14	504
Simon Q. Lud	133 0.6×	152 0.7×	117 0.6×	165 1.2×	10 0.2×	9	470
Guy Hollinger	134 0.6×	277 1.3×	47 0.3×	272 1.9×	17 0.3×	15	462
Santiago David Quiroga	87 0.4×	338 1.5×	144 0.8×	126 0.9×	12 0.2×	16	494

Countries citing papers authored by Ida Pavlichenko

Since Specialization

Citations

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

Fields of papers citing papers by Ida Pavlichenko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ida Pavlichenko

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