Ivan Nikitskiy

14 total papers · 2.0k total citations
7 papers, 1.8k citations indexed

About

Ivan Nikitskiy is a scholar working on Biomedical Engineering, Materials Chemistry and Electrical and Electronic Engineering. According to data from OpenAlex, Ivan Nikitskiy has authored 7 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Biomedical Engineering, 4 papers in Materials Chemistry and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Ivan Nikitskiy's work include Nanowire Synthesis and Applications (3 papers), Quantum Dots Synthesis And Properties (2 papers) and Advanced Sensor and Energy Harvesting Materials (2 papers). Ivan Nikitskiy is often cited by papers focused on Nanowire Synthesis and Applications (3 papers), Quantum Dots Synthesis And Properties (2 papers) and Advanced Sensor and Energy Harvesting Materials (2 papers). Ivan Nikitskiy collaborates with scholars based in Spain and France. Ivan Nikitskiy's co-authors include Gerasimos Konstantatos, Frank H. L. Koppens, Tania Lasanta, Gabrielė Navickaitė, Dominik Kufer, A. Goossens, J. Piqueras, Shuchi Gupta, Eric Puma and R. Pérez and has published in prestigious journals such as Advanced Materials, Nature Communications and Nature Photonics.

In The Last Decade

Ivan Nikitskiy

7 papers receiving 1.7k citations

Hit Papers

Hybrid 2D–0D MoS2–PbS Qua... 2014 2026 2018 2022 2014 2017 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Ivan Nikitskiy 1.3k 1.1k 618 249 162 7 1.8k
Sue In Chae 878 0.7× 763 0.7× 370 0.6× 272 1.1× 86 0.5× 10 1.4k
Lewis Gomez De Arco 1.5k 1.1× 1.2k 1.1× 1.0k 1.7× 236 0.9× 219 1.4× 7 2.1k
Dominik Kufer 1.9k 1.4× 1.4k 1.3× 556 0.9× 361 1.4× 146 0.9× 16 2.2k
Aday J. Molina‐Mendoza 1.3k 1.0× 1.3k 1.2× 301 0.5× 182 0.7× 135 0.8× 19 2.1k
Zhenjun Tan 1.3k 1.0× 1.1k 1.0× 301 0.5× 435 1.7× 194 1.2× 20 1.9k
Chin-Wei Sher 986 0.7× 1.2k 1.1× 420 0.7× 213 0.9× 327 2.0× 18 1.9k
Sergey B. Lee 1.1k 0.9× 667 0.6× 788 1.3× 272 1.1× 194 1.2× 14 1.8k
Lejing Pi 1.8k 1.4× 1.4k 1.3× 357 0.6× 286 1.1× 185 1.1× 23 2.2k
Kallol Roy 1.3k 1.0× 775 0.7× 485 0.8× 202 0.8× 140 0.9× 14 1.7k
Sukjae Jang 1.2k 0.9× 1.0k 1.0× 791 1.3× 180 0.7× 166 1.0× 17 1.8k

Countries citing papers authored by Ivan Nikitskiy

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Nikitskiy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivan Nikitskiy

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