Maxim Kramar

640 total citations
22 papers, 327 citations indexed

About

Maxim Kramar is a scholar working on Astronomy and Astrophysics, Molecular Biology and Aerospace Engineering. According to data from OpenAlex, Maxim Kramar has authored 22 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Astronomy and Astrophysics, 6 papers in Molecular Biology and 5 papers in Aerospace Engineering. Recurrent topics in Maxim Kramar's work include Solar and Space Plasma Dynamics (14 papers), Ionosphere and magnetosphere dynamics (12 papers) and Geomagnetism and Paleomagnetism Studies (6 papers). Maxim Kramar is often cited by papers focused on Solar and Space Plasma Dynamics (14 papers), Ionosphere and magnetosphere dynamics (12 papers) and Geomagnetism and Paleomagnetism Studies (6 papers). Maxim Kramar collaborates with scholars based in United States, Germany and Slovakia. Maxim Kramar's co-authors include J. M. Davila, B. Inhester, M. Mierla, B. Inhester, L. Ofman, O. C. St. Cyr, Alexander Ignatov, Ryun-Young Kwon, Vladimir Airapetian and W. T. Thompson and has published in prestigious journals such as The Astrophysical Journal, Astronomy and Astrophysics and Remote Sensing.

In The Last Decade

Maxim Kramar

21 papers receiving 313 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maxim Kramar United States 10 269 85 35 28 27 22 327
Chunlan Jin China 14 337 1.3× 94 1.1× 39 1.1× 20 0.7× 40 1.5× 41 410
Anshu Kumari Finland 11 235 0.9× 29 0.3× 18 0.5× 58 2.1× 32 1.2× 38 301
Sarah Bentley United Kingdom 13 366 1.4× 161 1.9× 30 0.9× 11 0.4× 11 0.4× 27 383
М. Д. Карталев Bulgaria 10 287 1.1× 93 1.1× 25 0.7× 37 1.3× 19 0.7× 33 313
Mitsuru Sôma Japan 9 206 0.8× 37 0.4× 22 0.6× 63 2.3× 16 0.6× 39 242
B. Viticchiè Italy 9 237 0.9× 51 0.6× 83 2.4× 19 0.7× 80 3.0× 15 327
M. J. Penn United States 12 382 1.4× 68 0.8× 24 0.7× 25 0.9× 12 0.4× 35 419
D. M. Pahud United States 4 336 1.2× 147 1.7× 20 0.6× 13 0.5× 5 0.2× 5 345
Nithin Sivadas United States 9 269 1.0× 74 0.9× 40 1.1× 7 0.3× 10 0.4× 15 277
George Millward United States 8 416 1.5× 183 2.2× 50 1.4× 20 0.7× 6 0.2× 11 433

Countries citing papers authored by Maxim Kramar

Since Specialization
Citations

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

Fields of papers citing papers by Maxim Kramar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maxim Kramar

This figure shows the co-authorship network connecting the top 25 collaborators of Maxim Kramar. A scholar is included among the top collaborators of Maxim Kramar 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 Maxim Kramar. Maxim Kramar 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.
2.
Anan, Tetsu, Sarah A. Jaeggli, H. Lin, et al.. (2024). Implementation of the 36 μm machined image slicer integral field unit for DKIST/DL-NIRSP. 79–79. 1 indexed citations
3.
Kramar, Maxim, et al.. (2019). Wind Energy Conversion System with Induction Generators Connected to a Single Static Compensator. 1. 258–261. 2 indexed citations
4.
Kramar, Maxim, H. Lin, Vladimir Airapetian, & S. Tomczyk. (2016). 3D Global Coronal Density, Temperature, and Vector Magnetic Field Derived from Coronal Observation.. AGU Fall Meeting Abstracts. 1 indexed citations
5.
Petrenko, Boris, Alexander Ignatov, Maxim Kramar, & Yury Kihai. (2016). Exploring new bands in modified multichannel regression SST algorithms for the next-generation infrared sensors at NOAA. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4 indexed citations
6.
Kramar, Maxim, Alexander Ignatov, Boris Petrenko, Yury Kihai, & Prasanjit Dash. (2016). Near real time SST retrievals from Himawari-8 at NOAA using ACSPO system. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9827. 98270L–98270L. 19 indexed citations
7.
Ignatov, Alexander, et al.. (2016). Preliminary Inter-Comparison between AHI, VIIRS and MODIS Clear-Sky Ocean Radiances for Accurate SST Retrievals. Remote Sensing. 8(3). 203–203. 18 indexed citations
8.
Kramar, Maxim, Vladimir Airapetian, Z. Mikić, & J. M. Davila. (2014). 3D Coronal Density Reconstruction and Retrieving the Magnetic Field Structure during Solar Minimum. Solar Physics. 289(8). 2927–2944. 16 indexed citations
9.
Kwon, Ryun-Young, L. Ofman, Oscar Olmedo, et al.. (2013). STEREOOBSERVATIONS OF FAST MAGNETOSONIC WAVES IN THE EXTENDED SOLAR CORONA ASSOCIATED WITH EIT/EUV WAVES. The Astrophysical Journal. 766(1). 55–55. 40 indexed citations
10.
Kwon, Ryun-Young, Maxim Kramar, Tongjiang Wang, et al.. (2013). GLOBAL CORONAL SEISMOLOGY IN THE EXTENDED SOLAR CORONA THROUGH FAST MAGNETOSONIC WAVES OBSERVED BYSTEREOSECCHI COR1. The Astrophysical Journal. 776(1). 55–55. 23 indexed citations
11.
Kramar, Maxim, B. Inhester, H. Lin, & J. M. Davila. (2013). VECTOR TOMOGRAPHY FOR THE CORONAL MAGNETIC FIELD. II. HANLE EFFECT MEASUREMENTS. The Astrophysical Journal. 775(1). 25–25. 21 indexed citations
12.
Kramar, Maxim, J. M. Davila, H. Xie, & S. K. Antiochos. (2011). On the influence of CMEs on the global 3-D coronal electron density. Annales Geophysicae. 29(6). 1019–1028. 3 indexed citations
13.
Airapetian, Vladimir, L. Ofman, E. C. Sittler, & Maxim Kramar. (2011). PROBING THE THERMODYNAMICS AND KINEMATICS OF SOLAR CORONAL STREAMERS. The Astrophysical Journal. 728(1). 67–67. 9 indexed citations
14.
Kramar, Maxim, Shaela I. Jones, J. M. Davila, B. Inhester, & M. Mierla. (2009). On the Tomographic Reconstruction of the 3D Electron Density for the Solar Corona from STEREO COR1 Data. Solar Physics. 259(1-2). 109–121. 30 indexed citations
15.
Mierla, M., J. M. Davila, W. T. Thompson, et al.. (2008). A Quick Method for Estimating the Propagation Direction of Coronal Mass Ejections Using STEREO-COR1 Images. Solar Physics. 252(2). 385–396. 65 indexed citations
16.
Kramar, Maxim, B. Inhester, & S. K. Solanki. (2006). Vector tomography for the coronal magnetic field. Astronomy and Astrophysics. 456(2). 665–673. 22 indexed citations
17.
Kramar, Maxim & B. Inhester. (2006). Inversion of coronal Zeeman and Hanle Observations to reconstruct the coronal magnetic field. arXiv (Cornell University). 78(1). 120–125. 3 indexed citations
18.
Kramar, Maxim & B. Inhester. (2003). Vector Tomography for the Coronal Magnetic Field. Springer Link (Chiba Institute of Technology). 9242. 9 indexed citations
19.
Kramar, Maxim, et al.. (2002). Effect of amplified luminescence on the lasing threshold of long-wavelength injection lasers. Quantum Electronics. 32(3). 260–263. 7 indexed citations
20.
Kramar, Maxim, et al.. (2001). Theoretical analysis of the effect of amplified luminescence on the modulation response of laser diodes. International Journal of Numerical Modelling Electronic Networks Devices and Fields. 14(4). 331–343. 7 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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