A. Kashlinsky

3.4k total citations
63 papers, 1.6k citations indexed

About

A. Kashlinsky is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Instrumentation. According to data from OpenAlex, A. Kashlinsky has authored 63 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Astronomy and Astrophysics, 20 papers in Nuclear and High Energy Physics and 18 papers in Instrumentation. Recurrent topics in A. Kashlinsky's work include Galaxies: Formation, Evolution, Phenomena (47 papers), Cosmology and Gravitation Theories (25 papers) and Astronomy and Astrophysical Research (18 papers). A. Kashlinsky is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (47 papers), Cosmology and Gravitation Theories (25 papers) and Astronomy and Astrophysical Research (18 papers). A. Kashlinsky collaborates with scholars based in United States, Spain and Germany. A. Kashlinsky's co-authors include F. Atrio‐Barandela, Richard G. Arendt, Dale D. Kocevski, H. Ebeling, S. H. Moseley, John Mather, K. Helgason, Bernard J. T. Jones, John C. Mather and Massimo Ricotti and has published in prestigious journals such as Nature, Science and Physical Review Letters.

In The Last Decade

A. Kashlinsky

61 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Kashlinsky United States 22 1.5k 726 205 69 35 63 1.6k
M. Rossetti Italy 23 1.4k 0.9× 552 0.8× 377 1.8× 61 0.9× 18 0.5× 63 1.5k
N. Palanque‐Delabrouille France 19 1.2k 0.8× 804 1.1× 156 0.8× 65 0.9× 14 0.4× 42 1.3k
Miguel Rocha United States 9 1.5k 1.0× 1.1k 1.5× 337 1.6× 96 1.4× 28 0.8× 12 1.6k
Jaiyul Yoo Switzerland 18 1.2k 0.8× 448 0.6× 188 0.9× 68 1.0× 9 0.3× 47 1.2k
S. T. Myers United States 16 981 0.6× 387 0.5× 227 1.1× 91 1.3× 9 0.3× 23 1.0k
M. Sosey United States 5 938 0.6× 325 0.4× 280 1.4× 26 0.4× 54 1.5× 24 982
S. Giacintucci United States 29 2.5k 1.6× 1.4k 2.0× 366 1.8× 57 0.8× 40 1.1× 103 2.5k
L. Lovisari United States 20 1.2k 0.8× 457 0.6× 279 1.4× 44 0.6× 9 0.3× 48 1.2k
Xuejian Shen United States 18 1.0k 0.7× 309 0.4× 436 2.1× 53 0.8× 24 0.7× 49 1.2k
N. Cappelluti United States 28 2.0k 1.3× 721 1.0× 563 2.7× 31 0.4× 18 0.5× 90 2.1k

Countries citing papers authored by A. Kashlinsky

Since Specialization
Citations

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

Fields of papers citing papers by A. Kashlinsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Kashlinsky

This figure shows the co-authorship network connecting the top 25 collaborators of A. Kashlinsky. A scholar is included among the top collaborators of A. Kashlinsky 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 A. Kashlinsky. A. Kashlinsky 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
1.
Kashlinsky, A., Richard G. Arendt, M. L. N. Ashby, J. Kruk, & N. Odegard. (2025). Looking at Infrared Background Radiation Anisotropies with Spitzer: Large-scale Anisotropies and Their Implications. The Astrophysical Journal Letters. 980(1). L12–L12. 1 indexed citations
2.
Cappelluti, N., G. Hasinger, Caitlin M. Casey, et al.. (2025). Tracing High-z Galaxies in X-Rays with JWST and Chandra. The Astrophysical Journal. 987(1). 40–40.
3.
Kashlinsky, A., et al.. (2024). Probing the Dipole of the Diffuse Gamma-Ray Background. The Astrophysical Journal Letters. 961(1). L1–L1. 1 indexed citations
4.
Kashlinsky, A.. (2021). Cosmological Advection Flows in the Presence of Primordial Black Holes as Dark Matter and Formation of First Sources. Physical Review Letters. 126(1). 11101–11101. 15 indexed citations
5.
Kashlinsky, A., Richard G. Arendt, N. Cappelluti, et al.. (2019). Probing the Cross-power of Unresolved Cosmic Infrared and X-Ray Backgrounds with Upcoming Space Missions. The Astrophysical Journal Letters. 871(1). L6–L6. 8 indexed citations
6.
Li, Yanxia, N. Cappelluti, Richard G. Arendt, et al.. (2018). The SPLASH and Chandra COSMOS Legacy Survey: The Cross-power between Near-infrared and X-Ray Background Fluctuations. The Astrophysical Journal. 864(2). 141–141. 11 indexed citations
7.
Cappelluti, N., Richard G. Arendt, A. Kashlinsky, et al.. (2017). Probing Large-scale Coherence between Spitzer IR and Chandra X-Ray Source-subtracted Cosmic Backgrounds. The Astrophysical Journal Letters. 847(1). L11–L11. 18 indexed citations
8.
Atrio‐Barandela, F., A. Kashlinsky, H. Ebeling, & Dale D. Kocevski. (2010). Bulk flows in inflation and in Lemaître-Tolman-Bondi models. Journal of Physics Conference Series. 229. 12003–12003. 2 indexed citations
9.
Kashlinsky, A., F. Atrio‐Barandela, Dale D. Kocevski, & H. Ebeling. (2008). A Measurement of Large-Scale Peculiar Velocities of Clusters of Galaxies: Results and Cosmological Implications. The Astrophysical Journal. 686(2). L49–L52. 187 indexed citations
10.
Kashlinsky, A., et al.. (2007). Where is the universe expanding to?. PubMed. 296(5). 104–104. 1 indexed citations
11.
Kashlinsky, A., Richard G. Arendt, John Mather, & S. H. Moseley. (2005). Tracing the first stars with fluctuations of the cosmic infrared background. Nature. 438(7064). 45–50. 118 indexed citations
12.
Kashlinsky, A.. (2005). Cosmic infrared background and early galaxy evolution. Physics Reports. 409(6). 361–438. 70 indexed citations
13.
Kashlinsky, A., et al.. (2004). Using peak distribution of the cosmic microwave background for WMAP and Planck data analysis: Formalism and simulations. Astronomy and Astrophysics. 413(3). 833–842. 5 indexed citations
14.
Kashlinsky, A., John C. Mather, Sten Odenwald, & M. G. Hauser. (1996). Clustering of the Diffuse Infrared Light from the COBE DIRBE Maps. I. C(0) and Limits on the Near-Infrared Background. The Astrophysical Journal. 470. 681–681. 31 indexed citations
15.
Kashlinsky, A.. (1993). High-z objects and cold dark matter cosmogonies - Constraints on the primordial power spectrum on small scales. The Astrophysical Journal. 406. L1–L1. 7 indexed citations
16.
17.
Kashlinsky, A.. (1992). The coherence length of the peculiar velocity field in the universe and the large-scale galaxy correlation data. The Astrophysical Journal. 386. L37–L37. 3 indexed citations
18.
Kashlinsky, A.. (1991). Microwave background anisotropies implied by large-scale galaxy correlations - The minimum of C(0) and cosmological parameters. The Astrophysical Journal. 383. L1–L1. 2 indexed citations
19.
Kashlinsky, A.. (1987). Gravitational clustering and the origin of the correlation function of clusters of galaxies. The Astrophysical Journal. 317. 19–19. 12 indexed citations
20.
Kashlinsky, A.. (1986). Dynamical friction in rotating systems - Application to clusters and galaxies. The Astrophysical Journal. 306. 374–374. 16 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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