Nikita Fedik

1.1k citations
39 papers · 767 indexed · h-index 17
Topics
Advanced Chemical Physics Studies (9 papers)Machine Learning in Materials Science (7 papers)Spectroscopy and Quantum Chemical Studies (5 papers)
Partner nations
United StatesRussiaChina

In The Last Decade

Nikita Fedik

38 papers receiving 759 citations

Peers

Nikita Fedik
Comparison fields: 5 of 84
  • Materials Chemistry 433
  • Organic Chemistry 250
  • Inorganic Chemistry 154
  • Atomic and Molecular Physics, and Optics 123
  • Computational Theory and Mathematics 77
Replace Maksim Kulichenko with:
Maksim Kulichenko United States
Matija Zlatar Serbia
Sebastian Dohm Germany
Siamak Noorizadeh Iran
Gourhari Jana India
Michio Katouda Japan
José Manuel Vásquez‐Pérez Mexico
Chinh Q. Nguyen United Kingdom
Makito Takagi Japan
Thomas Weymuth Switzerland
Nikita Fedik relative to Maksim Kulichenko United States Maksim Kulichenko's profile →
Citations per field
00.5×4.3×
Maksim Kulichenko · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 3
2 2
3 55
4 18
5 12
6 94
7 7
8 12
9 66
10 11
11 11
12 34
13 5
14 19
15 35
16 24
17 7
18 1
19 4
20 12

About Nikita Fedik

Nikita Fedik is a scholar working on Physical and Theoretical Chemistry, Inorganic Chemistry and Filtration and Separation, having authored 39 papers that have together received 767 indexed citations. Recurring topics across this work include Advanced Chemical Physics Studies (9 papers), Machine Learning in Materials Science (7 papers) and Spectroscopy and Quantum Chemical Studies (5 papers). The work is most often cited by research in Inorganic Chemistry (154 citations), Materials Chemistry (433 citations) and Organic Chemistry (250 citations). Nikita Fedik has collaborated with scholars based in United States, Russia and China. Frequent co-authors include Alexander I. Boldyrev, Maksim Kulichenko, Alvaro Muñoz‐Castro, Sergei Tretiak, Д. В. Стегленко, Benjamin Nebgen, Ying Wai Li, Nicholas Lubbers, Kipton Barros and Justin S. Smith. Their work appears in journals such as Chemical Reviews, Angewandte Chemie International Edition and The Journal of Chemical Physics.

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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