Maxim Tabachnyk

2.1k total citations · 1 hit paper
12 papers, 1.8k citations indexed

About

Maxim Tabachnyk is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Information Systems. According to data from OpenAlex, Maxim Tabachnyk has authored 12 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electrical and Electronic Engineering, 7 papers in Materials Chemistry and 3 papers in Information Systems. Recurrent topics in Maxim Tabachnyk's work include Perovskite Materials and Applications (5 papers), Organic Electronics and Photovoltaics (4 papers) and Quantum Dots Synthesis And Properties (3 papers). Maxim Tabachnyk is often cited by papers focused on Perovskite Materials and Applications (5 papers), Organic Electronics and Photovoltaics (4 papers) and Quantum Dots Synthesis And Properties (3 papers). Maxim Tabachnyk collaborates with scholars based in United Kingdom, United States and Netherlands. Maxim Tabachnyk's co-authors include Richard H. Friend, Neil C. Greenham, Marcus L. Böhm, Siân E. Dutton, Hugh Glass, Tom C. Jellicoe, Johannes M. Richter, Bruno Ehrler, Akshay Rao and Dan Credgington and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Nature Materials.

In The Last Decade

Maxim Tabachnyk

11 papers receiving 1.8k citations

Hit Papers

Synthesis and Optical Properties of Lead-Free Cesium Tin ... 2016 2026 2019 2022 2016 250 500 750

Peers

Maxim Tabachnyk
Seung‐Je Woo South Korea
Sergiu Draguta United States
Daniel M. Kroupa United States
Carlo Motta Ireland
Marcus L. Böhm United Kingdom
Maxim Tabachnyk
Citations per year, relative to Maxim Tabachnyk Maxim Tabachnyk (= 1×) peers Nathaniel J. L. K. Davis

Countries citing papers authored by Maxim Tabachnyk

Since Specialization
Citations

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

Fields of papers citing papers by Maxim Tabachnyk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maxim Tabachnyk

This figure shows the co-authorship network connecting the top 25 collaborators of Maxim Tabachnyk. A scholar is included among the top collaborators of Maxim Tabachnyk 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 Maxim Tabachnyk. Maxim Tabachnyk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Shi, Kensen, Saswat Anand, Mihai Christodorescu, et al.. (2025). Natural Language Outlines for Code: Literate Programming in the LLM Era. 150–161. 1 indexed citations
2.
Nikolov, Stoyan C., et al.. (2025). How is Google Using AI for Internal Code Migrations?. 481–492.
3.
Austin, Jacob, Nimesh Ghelani, Pascal Lamblin, et al.. (2024). Resolving Code Review Comments with Machine Learning. 204–215. 6 indexed citations
4.
Davis, Nathaniel J. L. K., Francisco de la Peña, Maxim Tabachnyk, et al.. (2017). Photon Reabsorption in Mixed CsPbCl3:CsPbI3 Perovskite Nanocrystal Films for Light-Emitting Diodes. The Journal of Physical Chemistry C. 121(7). 3790–3796. 55 indexed citations
5.
Pazos, Luis, Moritz H. Futscher, Anton Kirch, et al.. (2017). A Silicon-Singlet Fission Tandem Solar Cell Exceeding 100% External Quantum Efficiency with High Spectral Stability.. Apollo (University of Cambridge). 81 indexed citations
6.
Tabachnyk, Maxim, Katharina Broch, Luis Pazos, et al.. (2016). Efficient singlet exciton fission in pentacene prepared from a soluble precursor. APL Materials. 4(11). 12 indexed citations
7.
Zhao, Baodan, Mojtaba Abdi‐Jalebi, Maxim Tabachnyk, et al.. (2016). High Open‐Circuit Voltages in Tin‐Rich Low‐Bandgap Perovskite‐Based Planar Heterojunction Photovoltaics. Advanced Materials. 29(2). 235 indexed citations
8.
Jellicoe, Tom C., Johannes M. Richter, Hugh Glass, et al.. (2016). Synthesis and Optical Properties of Lead-Free Cesium Tin Halide Perovskite Nanocrystals. Journal of the American Chemical Society. 138(9). 2941–2944. 861 indexed citations breakdown →
9.
Böhm, Marcus L., Tom C. Jellicoe, Maxim Tabachnyk, et al.. (2015). Lead Telluride Quantum Dot Solar Cells Displaying External Quantum Efficiencies Exceeding 120%. Nano Letters. 15(12). 7987–7993. 127 indexed citations
10.
Tabachnyk, Maxim, Bruno Ehrler, Simon Gélinas, et al.. (2014). Resonant energy transfer of triplet excitons from pentacene to PbSe nanocrystals. Nature Materials. 13(11). 1033–1038. 246 indexed citations
11.
Yang, Le, Maxim Tabachnyk, Sam L. Bayliss, et al.. (2014). Solution-Processable Singlet Fission Photovoltaic Devices. Nano Letters. 15(1). 354–358. 128 indexed citations
12.
Tabachnyk, Maxim, Bruno Ehrler, Sam L. Bayliss, Richard H. Friend, & Neil C. Greenham. (2013). Triplet diffusion in singlet exciton fission sensitized pentacene solar cells. Applied Physics Letters. 103(15). 66 indexed citations

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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