K. Markovič

5.9k total citations · 1 hit paper
17 papers, 451 citations indexed

About

K. Markovič is a scholar working on Astronomy and Astrophysics, Instrumentation and Nuclear and High Energy Physics. According to data from OpenAlex, K. Markovič has authored 17 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Astronomy and Astrophysics, 5 papers in Instrumentation and 3 papers in Nuclear and High Energy Physics. Recurrent topics in K. Markovič's work include Galaxies: Formation, Evolution, Phenomena (14 papers), Cosmology and Gravitation Theories (10 papers) and Astronomy and Astrophysical Research (5 papers). K. Markovič is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (14 papers), Cosmology and Gravitation Theories (10 papers) and Astronomy and Astrophysical Research (5 papers). K. Markovič collaborates with scholars based in United Kingdom, United States and Switzerland. K. Markovič's co-authors include Florian Beutler, Nickolas Kokron, Leonardo Senatore, Jérôme Gleyzes, Pierre Zhang, Héctor Gil-Marín, Guido D’Amico, R. C. Smith, Matteo Viel and J. Weller and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and Physical review. D.

In The Last Decade

K. Markovič

13 papers receiving 442 citations

Hit Papers

The cosmological analysis of the SDSS/BOSS data from the ... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
K. Markovič United Kingdom 8 422 228 89 27 9 17 451
Jan Niklas Grieb Germany 6 329 0.8× 136 0.6× 94 1.1× 22 0.8× 7 0.8× 6 343
Matthew D. Olmstead United States 8 414 1.0× 162 0.7× 83 0.9× 23 0.9× 5 0.6× 9 442
Anton Chudaykin Russia 10 428 1.0× 253 1.1× 56 0.6× 25 0.9× 6 0.7× 17 483
S. R. Hinton Australia 8 343 0.8× 109 0.5× 68 0.8× 20 0.7× 10 1.1× 11 365
Alexander Eggemeier Germany 12 338 0.8× 102 0.4× 106 1.2× 32 1.2× 8 0.9× 23 365
Fulvio Ferlito United Kingdom 11 370 0.9× 131 0.6× 170 1.9× 19 0.7× 12 1.3× 14 411
Nicolás G. Busca France 11 369 0.9× 303 1.3× 76 0.9× 22 0.8× 11 1.2× 17 509
F. Köhlinger United Kingdom 10 411 1.0× 190 0.8× 75 0.8× 19 0.7× 23 2.6× 10 442
Gayoung Chon Germany 17 729 1.7× 356 1.6× 185 2.1× 40 1.5× 9 1.0× 31 763
E. Burtin France 10 322 0.8× 223 1.0× 85 1.0× 18 0.7× 22 2.4× 24 425

Countries citing papers authored by K. Markovič

Since Specialization
Citations

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

Fields of papers citing papers by K. Markovič

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Markovič

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

All Works

17 of 17 papers shown
1.
Mandelbaum, Rachel, et al.. (2025). Chromatic effects on the PSF and shear measurement for the Roman Space Telescope High-Latitude Wide Area Survey. Monthly Notices of the Royal Astronomical Society. 542(2). 608–628.
2.
Robertson, Andrew, Eric Huff, K. Markovič, & Baojiu Li. (2024). Modelling the redshift-space cluster–galaxy correlation function on Mpc scales with emulation of the pairwise velocity distribution. Monthly Notices of the Royal Astronomical Society. 533(4). 4081–4103.
3.
Robertson, Andrew, Eric Huff, & K. Markovič. (2023). Why weak lensing cluster shapes are insensitive to self-interacting dark matter. Monthly Notices of the Royal Astronomical Society. 521(2). 3172–3185. 8 indexed citations
4.
Taylor, Peter L. & K. Markovič. (2022). The Covariance of Photometric and Spectroscopic Two-Point Statistics: Implications for Cosmological Parameter Inference. arXiv (Cornell University). 8 indexed citations
5.
Taylor, Peter L., K. Markovič, Alkistis Pourtsidou, & Eric Huff. (2022). Redshift space distortions: Unmixing radial scales in projection. Physical review. D. 105(8). 2 indexed citations
6.
Yahia-Cherif, S., Alain Blanchard, S. Camera, et al.. (2021). Validating the Fisher approach for stage IV spectroscopic surveys. Springer Link (Chiba Institute of Technology). 9 indexed citations
7.
Shirasaki, Masato, Eric Huff, K. Markovič, & Jason Rhodes. (2021). A Semianalytic Model of the Pairwise Velocity Distribution between Dark Matter Halos. The Astrophysical Journal. 907(1). 38–38. 6 indexed citations
8.
Bose, Benjamin, Alkistis Pourtsidou, K. Markovič, & Florian Beutler. (2020). Assessing non-linear models for galaxy clustering – II. Model validation and forecasts for Stage IV surveys. Monthly Notices of the Royal Astronomical Society. 493(4). 5301–5322. 5 indexed citations
9.
D’Amico, Guido, Jérôme Gleyzes, Nickolas Kokron, et al.. (2020). The cosmological analysis of the SDSS/BOSS data from the Effective Field Theory of Large-Scale Structure. Journal of Cosmology and Astroparticle Physics. 2020(5). 5–5. 290 indexed citations breakdown →
10.
Markovič, K., Benjamin Bose, & Alkistis Pourtsidou. (2019). Assessing non-linear models for galaxy clustering I: unbiased growth forecasts from multipole expansion. The Open Journal of Astrophysics. 2.
11.
Markovič, K., Alkistis Pourtsidou, & Benjamin Bose. (2019). Assessing non-linear models for galaxy clustering I: unbiased growth forecasts from multipole expansion. The Open Journal of Astrophysics. 2 indexed citations
12.
Thomas, Daniel B., Michael Kopp, & K. Markovič. (2019). Using large-scale structure data and a halo model to constrain generalized dark matter. Monthly Notices of the Royal Astronomical Society. 490(1). 813–831. 7 indexed citations
13.
Wachter, Stefanie & K. Markovič. (2018). The Euclid Mission. 42.
14.
Markovič, K., Will J. Percival, M. Scodeggio, et al.. (2017). Large-scale retrospective relative spectrophotometric self-calibration in space. Monthly Notices of the Royal Astronomical Society. 467(3). 3677–3698. 3 indexed citations
15.
Markovič, K. & Matteo Viel. (2014). Lyman-α Forest and Cosmic Weak Lensing in a Warm Dark Matter Universe. Publications of the Astronomical Society of Australia. 31. 21 indexed citations
16.
Markovič, K., Sarah Bridle, Anže Slosar, & J. Weller. (2011). Constraining warm dark matter with cosmic shear power spectra. Journal of Cosmology and Astroparticle Physics. 2011(1). 22–22. 22 indexed citations
17.
Smith, R. C. & K. Markovič. (2011). Testing the warm dark matter paradigm with large-scale structures. Physical review. D. Particles, fields, gravitation, and cosmology. 84(6). 68 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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