M. Rempel

4.6k total citations
106 papers, 2.6k citations indexed

About

M. Rempel is a scholar working on Astronomy and Astrophysics, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, M. Rempel has authored 106 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Astronomy and Astrophysics, 28 papers in Molecular Biology and 22 papers in Artificial Intelligence. Recurrent topics in M. Rempel's work include Solar and Space Plasma Dynamics (99 papers), Stellar, planetary, and galactic studies (48 papers) and Astro and Planetary Science (35 papers). M. Rempel is often cited by papers focused on Solar and Space Plasma Dynamics (99 papers), Stellar, planetary, and galactic studies (48 papers) and Astro and Planetary Science (35 papers). M. Rempel collaborates with scholars based in United States, Germany and Spain. M. Rempel's co-authors include M. Schüßler, M. Knölker, Hideyuki Hotta, T. Yokoyama, Mark C. M. Cheung, R. H. Cameron, A. M. Title, Mausumi Dikpati, Peter A. Gilman and S. Danilović and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and The Astrophysical Journal.

In The Last Decade

M. Rempel

102 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. Rempel United States	28	2.4k	812	401	230	100	106	2.6k
R. S. Bogart United States	20	3.0k 1.2×	964 1.2×	511 1.3×	263 1.1×	71 0.7×	68	3.1k
Alexei Pevtsov United States	37	4.5k 1.9×	1.5k 1.9×	592 1.5×	327 1.4×	132 1.3×	212	4.6k
L. R. Bellot Rubio Spain	30	2.5k 1.0×	474 0.6×	534 1.3×	133 0.6×	76 0.8×	114	2.5k
Vasyl Yurchyshyn United States	32	3.2k 1.3×	881 1.1×	453 1.1×	109 0.5×	169 1.7×	141	3.3k
R. Komm United States	28	2.4k 1.0×	814 1.0×	286 0.7×	302 1.3×	117 1.2×	121	2.5k
B. Ruiz Cobo Spain	25	2.0k 0.8×	422 0.5×	481 1.2×	108 0.5×	125 1.3×	85	2.1k
V. Martı́nez Pillet Spain	29	2.6k 1.1×	579 0.7×	541 1.3×	107 0.5×	94 0.9×	137	2.8k
L. Rouppe van der Voort Norway	34	3.5k 1.4×	586 0.7×	638 1.6×	90 0.4×	136 1.4×	113	3.7k
J. C. del Toro Iniesta Spain	25	2.3k 1.0×	497 0.6×	492 1.2×	103 0.4×	113 1.1×	109	2.5k
B. Schmieder France	40	5.6k 2.3×	1.3k 1.6×	389 1.0×	170 0.7×	166 1.7×	314	5.8k

Countries citing papers authored by M. Rempel

Since Specialization

Citations

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

Fields of papers citing papers by M. Rempel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Rempel

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Hofmann, R., et al.. (2025). Using the Hanle Effect in Mg ii k to Quantify the Open Flux above the Solar Poles. The Astrophysical Journal. 990(2). 134–134.

Jarolim, Robert, et al.. (2024). Magnetic Field Evolution of the Solar Active Region 13664. The Astrophysical Journal Letters. 976(1). L12–L12. 12 indexed citations

Centeno, R., et al.. (2024). Spatial resolution effects on the solar open flux estimates. Astronomy and Astrophysics. 683. A134–A134. 5 indexed citations

Rempel, M., et al.. (2024). Constraints on Acoustic Wave Energy Fluxes and Radiative Losses in the Solar Chromosphere from Non-LTE Inversions. The Astrophysical Journal. 976(1). 21–21. 2 indexed citations

Hanson, Chris S., et al.. (2024). Magnetic Flux in the Sun Emerges Unaffected by Supergranular-scale Surface Flows. The Astrophysical Journal. 965(2). 186–186. 1 indexed citations

Jarolim, Robert, Benoît Tremblay, M. Rempel, et al.. (2024). Advancing Solar Magnetic Field Extrapolations through Multiheight Magnetic Field Measurements. The Astrophysical Journal Letters. 963(1). L21–L21. 14 indexed citations

Yang, Kai, M. Rempel, Sarah A. Jaeggli, et al.. (2024). Spectropolarimetric Inversion in Four Dimensions with Deep Learning (SPIn4D). I. Overview, Magnetohydrodynamic Modeling, and Stokes Profile Synthesis. The Astrophysical Journal. 976(2). 204–204. 3 indexed citations

Rempel, M., Georgios Chintzoglou, Mark C. M. Cheung, Yuhong Fan, & Lucia Kleint. (2023). Comprehensive Radiative MHD Simulations of Eruptive Flares above Collisional Polarity Inversion Lines. The Astrophysical Journal. 955(2). 105–105. 15 indexed citations

Centeno, R., et al.. (2023). Limitations and Biases in the Retrieval of the Polar Magnetic Field. I. The Role of the Magnetic Filling Factor in Milne–Eddington Inversions of Simulated Hinode/SP Data. The Astrophysical Journal. 951(1). 23–23. 6 indexed citations

10.

Centeno, R., Natasha Flyer, Ricky Egeland, et al.. (2022). Convolutional Neural Networks and Stokes Response Functions. The Astrophysical Journal. 925(2). 176–176. 5 indexed citations

11.

Danilović, S., J. Leenaarts, J. de la Cruz Rodríguez, et al.. (2022). Heating of the solar chromosphere through current dissipation. Astronomy and Astrophysics. 661. A59–A59. 19 indexed citations

12.

Centeno, R., M. Rempel, R. Casini, & Tanausú del Pino Alemán. (2022). Effects of Spectral Resolution on Simple Magnetic Field Diagnostics of the Mg ii H and K Lines. The Astrophysical Journal. 936(2). 115–115. 5 indexed citations

13.

Haberreiter, Margit, S. Criscuoli, M. Rempel, & Tiago M. D. Pereira. (2021). Solar atmosphere radiative transfer model comparison based on 3D MHD simulations. Springer Link (Chiba Institute of Technology). 3 indexed citations

14.

Judge, P. G., M. Rempel, Rana Ezzeddine, et al.. (2021). Measuring the Magnetic Origins of Solar Flares, Coronal Mass Ejections, and Space Weather. The Astrophysical Journal. 917(1). 27–27. 19 indexed citations

15.

Leenaarts, J., et al.. (2019). Three-dimensional modeling of chromospheric spectral lines in a simulated active region. Springer Link (Chiba Institute of Technology). 29 indexed citations

16.

Danilović, S., M. van Noort, & M. Rempel. (2016). Internetwork magnetic field as revealed by two-dimensional inversions. Springer Link (Chiba Institute of Technology). 27 indexed citations

17.

Hotta, Hideyuki, M. Rempel, T. Yokoyama, Yusuke Iida, & Yuhong Fan. (2012). Numerical calculation of convection with reduced speed of sound technique. Springer Link (Chiba Institute of Technology). 23 indexed citations

18.

Rempel, M., et al.. (2009). Radiative MHD simulations of sunspot structure. AGU Fall Meeting Abstracts. 2009. 192–466.

19.

Rempel, M., et al.. (2005). The dynamical disconnection of sunspots from their magnetic roots. Springer Link (Chiba Institute of Technology). 52 indexed citations

20.

Howe, R., M. Rempel, J. Christensen‐Dalsgaard, et al.. (2004). How Sensitive are Rotation Inversions to Subtle Features of the Dynamo. ESASP. 346. 468. 1 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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