Sandor M. Molnar

1.3k total citations
29 papers, 565 citations indexed

About

Sandor M. Molnar is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Instrumentation. According to data from OpenAlex, Sandor M. Molnar has authored 29 papers receiving a total of 565 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Astronomy and Astrophysics, 9 papers in Nuclear and High Energy Physics and 7 papers in Instrumentation. Recurrent topics in Sandor M. Molnar's work include Galaxies: Formation, Evolution, Phenomena (26 papers), Astrophysical Phenomena and Observations (12 papers) and Gamma-ray bursts and supernovae (8 papers). Sandor M. Molnar is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (26 papers), Astrophysical Phenomena and Observations (12 papers) and Gamma-ray bursts and supernovae (8 papers). Sandor M. Molnar collaborates with scholars based in Taiwan, United States and United Kingdom. Sandor M. Molnar's co-authors include Tom Broadhurst, M. Birkinshaw, Keiichi Umetsu, N. Hearn, Joachim Stadel, Patrick M. Koch, Nicole G. Czakon, S. R. Golwala, Jack Sayers and Megan Donahue and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and The Astrophysical Journal Letters.

In The Last Decade

Sandor M. Molnar

28 papers receiving 544 citations

Peers

Sandor M. Molnar
Urmila Chadayammuri United States
Se–Heon Oh Australia
C. Fedeli Italy
K. Geréb Australia
Ryan Janish United States
Robert A. Swaters United States
Michael Pracy Australia
J. S. Dunlop United Kingdom
Sandor M. Molnar
Citations per year, relative to Sandor M. Molnar Sandor M. Molnar (= 1×) peers Vikram Khaire

Countries citing papers authored by Sandor M. Molnar

Since Specialization
Citations

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

Fields of papers citing papers by Sandor M. Molnar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sandor M. Molnar. 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 Sandor M. Molnar. The network helps show where Sandor M. Molnar may publish in the future.

Co-authorship network of co-authors of Sandor M. Molnar

This figure shows the co-authorship network connecting the top 25 collaborators of Sandor M. Molnar. A scholar is included among the top collaborators of Sandor M. Molnar 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 Sandor M. Molnar. Sandor M. Molnar 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.
Molnar, Sandor M., et al.. (2024). Balance equations for physics-informed machine learning. Heliyon. 10(23). e38799–e38799.
2.
Umetsu, Keiichi, Shutaro Ueda, Bau-Ching Hsieh, et al.. (2022). Line-of-sight Elongation and Hydrostatic Mass Bias of the Frontier Fields Galaxy Cluster Abell 370. The Astrophysical Journal. 934(2). 169–169. 5 indexed citations
3.
Chen, Mandy C., Tom Broadhurst, Jeremy Lim, Sandor M. Molnar, & J. M. Diego. (2020). Geometric Support for Dark Matter by an Unaligned Einstein Ring in A3827. Repository of the Academy's Library (Library of the Hungarian Academy of Sciences). 2 indexed citations
4.
Musoke, Gibwa, A. J. Young, Sandor M. Molnar, & M. Birkinshaw. (2020). Numerical simulations of colliding jets in an external wind: application to 3C 75. Monthly Notices of the Royal Astronomical Society. 494(4). 5207–5229. 5 indexed citations
5.
Ueda, Shutaro, Yuto Ichinohe, Sandor M. Molnar, Keiichi Umetsu, & Tetsu Kitayama. (2020). Gas Density Perturbations in the Cool Cores of CLASH Galaxy Clusters. The Astrophysical Journal. 892(2). 100–100. 10 indexed citations
6.
Siegel, Seth R., Jack Sayers, Andisheh Mahdavi, et al.. (2018). Constraints on the Mass, Concentration, and Nonthermal Pressure Support of Six CLASH Clusters from a Joint Analysis of X-Ray, SZ, and Lensing Data. The Astrophysical Journal. 861(1). 71–71. 16 indexed citations
7.
Molnar, Sandor M. & Tom Broadhurst. (2018). Multi-phenomena Modeling of the New Bullet-like Cluster ZwCl 008.8+52 Using N-body/Hydrodynamical Simulations. The Astrophysical Journal. 862(2). 112–112. 13 indexed citations
8.
Molnar, Sandor M. & Tom Broadhurst. (2017). Shocks and Tides Quantified in the “Sausage” Cluster, CIZA J2242.8+5301 Using N-body/Hydrodynamical Simulations. The Astrophysical Journal. 841(1). 46–46. 15 indexed citations
9.
Molnar, Sandor M., Hsi-Yu Schive, M. Birkinshaw, et al.. (2017). HYDRODYNAMICAL SIMULATIONS OF COLLIDING JETS: MODELING 3C 75. The Astrophysical Journal. 835(1). 57–57. 5 indexed citations
10.
Wegner, G., Keiichi Umetsu, Sandor M. Molnar, et al.. (2017). The Double Galaxy Cluster A2465. III. X-Ray and Weak-lensing Observations. The Astrophysical Journal. 844(1). 67–67. 3 indexed citations
11.
Medezinski, Elinor, Keiichi Umetsu, N. Okabe, et al.. (2016). FRONTIER FIELDS: SUBARU WEAK-LENSING ANALYSIS OF THE MERGING GALAXY CLUSTER A2744*. The Astrophysical Journal. 817(1). 24–24. 42 indexed citations
12.
Diego, J. M., Tom Broadhurst, Sandor M. Molnar, Daniel Lam, & Jeremy Lim. (2015). Free-form lensing implications for the collision of dark matter and gas in the frontier fields cluster MACS J0416.1−2403. Monthly Notices of the Royal Astronomical Society. 447(4). 3130–3149. 34 indexed citations
13.
Czakon, Nicole G., Jack Sayers, A. Mantz, et al.. (2015). GALAXY CLUSTER SCALING RELATIONS BETWEEN BOLOCAM SUNYAEV–ZEL’DOVICH EFFECT ANDCHANDRAX-RAY MEASUREMENTS. The Astrophysical Journal. 806(1). 18–18. 36 indexed citations
14.
Molnar, Sandor M., Tom Broadhurst, Keiichi Umetsu, et al.. (2013). TANGENTIAL VELOCITY OF THE DARK MATTER IN THE BULLET CLUSTER FROM PRECISE LENSED IMAGE REDSHIFTS. The Astrophysical Journal. 774(1). 70–70. 12 indexed citations
15.
Sayers, Jack, Tony Mroczkowski, Nicole G. Czakon, et al.. (2013). THE CONTRIBUTION OF RADIO GALAXY CONTAMINATION TO MEASUREMENTS OF THE SUNYAEV-ZEL'DOVICH DECREMENT IN MASSIVE GALAXY CLUSTERS AT 140 GHz WITH BOLOCAM. The Astrophysical Journal. 764(2). 152–152. 16 indexed citations
16.
Sayers, Jack, Nicole G. Czakon, A. Mantz, et al.. (2013). SUNYAEV-ZEL'DOVICH-MEASURED PRESSURE PROFILES FROM THE BOLOCAM X-RAY/SZ GALAXY CLUSTER SAMPLE. The Astrophysical Journal. 768(2). 177–177. 59 indexed citations
17.
Sayers, Jack, Nicole G. Czakon, Carrie Bridge, et al.. (2012). BOLOCAM OBSERVATIONS OF TWO UNCONFIRMED GALAXY CLUSTER CANDIDATES FROM THE PLANCK EARLY SUNYAEV-ZEL'DOVICH SAMPLE. The Astrophysical Journal Letters. 749(1). L15–L15. 6 indexed citations
18.
Molnar, Sandor M., N. Hearn, & Joachim Stadel. (2012). MERGING GALAXY CLUSTERS: OFFSET BETWEEN THE SUNYAEV–ZEL'DOVICH EFFECT AND X-RAY PEAKS. The Astrophysical Journal. 748(1). 45–45. 26 indexed citations
19.
Molnar, Sandor M., et al.. (2007). From integrable analytic paths to classical physics. 122(8). 851–861. 1 indexed citations
20.
Molnar, Sandor M., M. Birkinshaw, & R. F. Mushotzky. (2002). Constraints in Cosmological Parameter Space from the Sunyaev‐Zeldovich Effect and Thermal Bremsstrahlung. The Astrophysical Journal. 570(1). 1–16. 13 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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