Nikita Fedik

77 total papers · 1.1k total citations
38 papers, 754 citations indexed

About

Nikita Fedik is a scholar working on Materials Chemistry, Organic Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Nikita Fedik has authored 38 papers receiving a total of 754 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Materials Chemistry, 13 papers in Organic Chemistry and 11 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Nikita Fedik's work include Advanced Chemical Physics Studies (9 papers), Machine Learning in Materials Science (6 papers) and Synthesis and Properties of Aromatic Compounds (5 papers). Nikita Fedik is often cited by papers focused on Advanced Chemical Physics Studies (9 papers), Machine Learning in Materials Science (6 papers) and Synthesis and Properties of Aromatic Compounds (5 papers). Nikita Fedik collaborates with scholars based in United States, Russia and China. Nikita Fedik's co-authors include Alexander I. Boldyrev, Maksim Kulichenko, Alvaro Muñoz‐Castro, Д. В. Стегленко, Sergei Tretiak, Kipton Barros, Ying Wai Li, Benjamin Nebgen, Nicholas Lubbers and Justin S. Smith and has published in prestigious journals such as Chemical Reviews, Angewandte Chemie International Edition and The Journal of Chemical Physics.

In The Last Decade

Nikita Fedik

38 papers receiving 747 citations

Author Peers

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

Author						Papers	Cites
Nikita Fedik	421	249	154	122	76	38	754
Maksim Kulichenko	441 1.0×	146 0.6×	111 0.7×	100 0.8×	100 1.3×	27	672
Bin Wang	250 0.6×	381 1.5×	116 0.8×	114 0.9×	79 1.0×	29	821
Said Jalife	510 1.2×	250 1.0×	231 1.5×	137 1.1×	27 0.4×	32	823
Abdellah Jarid	338 0.8×	238 1.0×	219 1.4×	132 1.1×	51 0.7×	47	697
Donghai Yu	192 0.5×	473 1.9×	171 1.1×	120 1.0×	65 0.9×	32	838
Daniel Bím	231 0.5×	278 1.1×	202 1.3×	100 0.8×	52 0.7×	36	854
Soumen Saha	426 1.0×	385 1.5×	83 0.5×	140 1.1×	44 0.6×	41	902
Matija Zlatar	296 0.7×	278 1.1×	178 1.2×	194 1.6×	37 0.5×	58	789
Lukáš Bučinský	325 0.8×	220 0.9×	221 1.4×	193 1.6×	44 0.6×	62	803
Tusar Bandyopadhyay	174 0.4×	147 0.6×	137 0.9×	158 1.3×	41 0.5×	55	680

Countries citing papers authored by Nikita Fedik

Since Specialization

Citations

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

Fields of papers citing papers by Nikita Fedik

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nikita Fedik

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