Evgenii Chaikin

638 total citations · 1 hit paper
15 papers, 324 citations indexed

About

Evgenii Chaikin is a scholar working on Astronomy and Astrophysics, Instrumentation and Nuclear and High Energy Physics. According to data from OpenAlex, Evgenii Chaikin has authored 15 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Astronomy and Astrophysics, 6 papers in Instrumentation and 2 papers in Nuclear and High Energy Physics. Recurrent topics in Evgenii Chaikin's work include Galaxies: Formation, Evolution, Phenomena (9 papers), Gamma-ray bursts and supernovae (6 papers) and Astronomy and Astrophysical Research (6 papers). Evgenii Chaikin is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (9 papers), Gamma-ray bursts and supernovae (6 papers) and Astronomy and Astrophysical Research (6 papers). Evgenii Chaikin collaborates with scholars based in Netherlands, United Kingdom and Austria. Evgenii Chaikin's co-authors include Folkert S J Nobels, Joop Schaye, Matthieu Schaller, Yannick M Bahé, Sylvia Ploeckinger, Josh Borrow, Roi Kugel, John Helly, Willem Elbers and Jaime Salcido and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and Astrophysics and Space Science.

In The Last Decade

Evgenii Chaikin

14 papers receiving 286 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The FLAMINGO project: cosmological hydrodynamical simulations for large-scale structure and galaxy cluster surveys

2023 134 citations Joop Schaye, Roi Kugel et al. Monthly Notices of the Royal Astronomical Society profile →

Peers

Countries citing papers authored by Evgenii Chaikin

Since Specialization

Citations

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

Fields of papers citing papers by Evgenii Chaikin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Evgenii Chaikin

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

All Works

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15 of 15 papers shown

#	Work	Indexed citations
1	Non-explosive pre-supernova feedback in the colibre model of galaxy formation 2026 ·Monthly Notices of the Royal Astronomical Society ·(unknown), (unknown), (unknown), Alexander J. Richings, Evgenii Chaikin, (unknown), James W. Trayford, (unknown), (unknown), (unknown)	1
2	A hybrid active galactic nucleus feedback model with spinning black holes, winds and jets 2026 ·Monthly Notices of the Royal Astronomical Society ·(unknown), (unknown), (unknown), (unknown), Evgenii Chaikin, (unknown), (unknown), Alexander J. Richings, James W. Trayford	0
3	Modelling the evolution and influence of dust in cosmological simulations that include the cold phase of the interstellar medium 2025 ·Monthly Notices of the Royal Astronomical Society ·James W. Trayford, Joop Schaye, Camila A. Correa, Sylvia Ploeckinger, Alexander J. Richings, Evgenii Chaikin, Matthieu Schaller, Alejandro Benítez-Llambay, Carlos S. Frenk, Filip Huško	1
4	hybrid-chimes: a model for radiative cooling and the abundances of ions and molecules in simulations of galaxy formation 2025 ·Monthly Notices of the Royal Astronomical Society ·Sylvia Ploeckinger, Alexander J. Richings, Joop Schaye, James W. Trayford, Matthieu Schaller, Evgenii Chaikin	2
5	Tests of subgrid models for star formation using simulations of isolated disc galaxies 2024 ·Monthly Notices of the Royal Astronomical Society ·Folkert S J Nobels, Joop Schaye, Matthieu Schaller, Sylvia Ploeckinger, Evgenii Chaikin, Alexander J. Richings	10
6	FLAMINGO: calibrating large cosmological hydrodynamical simulations with machine learning 2023 ·Monthly Notices of the Royal Astronomical Society ·Roi Kugel, Joop Schaye, Matthieu Schaller, John Helly, Joey Braspenning, Willem Elbers, Carlos S. Frenk, Ian G. McCarthy, Juliana Kwan, Jaime Salcido, Marcel P. van Daalen, Bert Vandenbroucke, Yannick M Bahé, Josh Borrow, Evgenii Chaikin, Filip Huško, Adrian Jenkins, C. G. Lacey, Folkert S J Nobels, Ian Vernon	49
7	The FLAMINGO project: cosmological hydrodynamical simulations for large-scale structure and galaxy cluster surveys breakdown → 2023 ·Monthly Notices of the Royal Astronomical Society ·Joop Schaye, Roi Kugel, Matthieu Schaller, John Helly, Joey Braspenning, Willem Elbers, Ian G. McCarthy, Marcel P. van Daalen, Bert Vandenbroucke, Carlos S. Frenk, Juliana Kwan, Jaime Salcido, Yannick M Bahé, Josh Borrow, Evgenii Chaikin, Oliver Hahn, Filip Huško, Adrian Jenkins, C. G. Lacey, Folkert S J Nobels	134
8	A thermal–kinetic subgrid model for supernova feedback in simulations of galaxy formation 2023 ·Monthly Notices of the Royal Astronomical Society ·Evgenii Chaikin, Joop Schaye, Matthieu Schaller, Alejandro Benítez-Llambay, Folkert S J Nobels, Sylvia Ploeckinger	19
9	The importance of the way in which supernova energy is distributed around young stellar populations in simulations of galaxies 2022 ·arXiv (Cornell University) ·Evgenii Chaikin, Joop Schaye, Matthieu Schaller, Yannick M Bahé, Folkert S J Nobels, Sylvia Ploeckinger	29
10	The interplay between AGN feedback and precipitation of the intracluster medium in simulations of galaxy groups and clusters 2022 ·arXiv (Cornell University) ·Folkert S J Nobels, Joop Schaye, Matthieu Schaller, Yannick M Bahé, Evgenii Chaikin	17
11	Simulations of ⁶⁰Fe entrained in ejecta from a near-Earth supernova:Effects of observer motion 2022 ·UvA-DARE (University of Amsterdam) ·Evgenii Chaikin, Alexander A. Kaurov, Brian D. Fields, Camila A. Correa	9
12	The importance of black hole repositioning for galaxy formation simulations 2022 ·Monthly Notices of the Royal Astronomical Society ·Yannick M Bahé, Joop Schaye, Matthieu Schaller, R. G. Bower, Josh Borrow, Evgenii Chaikin, Roi Kugel, Folkert S J Nobels, Sylvia Ploeckinger	39
13	Afterburst thermal relaxation in neutron star crusts 2018 ·Astrophysics and Space Science ·Evgenii Chaikin, A. D. Kaminker, D. G. Yakovlev	10
14	Observing Galaxy Mergers at the Epoch of Reionization 2018 ·The Astrophysical Journal ·Evgenii Chaikin, (unknown), Alexander A. Kaurov	2
15	Neutron stars with outbursts from superfluid crust 2017 ·Journal of Physics Conference Series ·A. D. Kaminker, Evgenii Chaikin, Alexander A. Kaurov, D. G. Yakovlev	2

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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