A. Halkola

2.8k total citations
33 papers, 1.4k citations indexed

About

A. Halkola is a scholar working on Astronomy and Astrophysics, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, A. Halkola has authored 33 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Astronomy and Astrophysics, 13 papers in Biomedical Engineering and 10 papers in Molecular Biology. Recurrent topics in A. Halkola's work include Galaxies: Formation, Evolution, Phenomena (18 papers), Characterization and Applications of Magnetic Nanoparticles (11 papers) and Astronomy and Astrophysical Research (10 papers). A. Halkola is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (18 papers), Characterization and Applications of Magnetic Nanoparticles (11 papers) and Astronomy and Astrophysical Research (10 papers). A. Halkola collaborates with scholars based in Germany, United States and Taiwan. A. Halkola's co-authors include S. H. Suyu, Jürgen Rahmer, Bernhard Gleich, Jörn Borgert, Ingo Schmale, J. Borgert, Kannan M. Krishnan, Hamed Arami, Thorsten M. Buzug and Akın Yıldırım and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and IEEE Transactions on Biomedical Engineering.

In The Last Decade

A. Halkola

32 papers receiving 1.3k 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. Halkola Germany 20 662 586 460 248 217 33 1.4k
S. J. Curran Australia 25 207 0.3× 1.4k 2.4× 40 0.1× 105 0.4× 203 0.9× 103 2.0k
Christopher Martin United States 19 195 0.3× 733 1.3× 128 0.3× 284 1.1× 77 0.4× 56 1.2k
Serge Habraken Belgium 15 344 0.5× 694 1.2× 430 0.9× 30 0.1× 206 0.9× 87 1.4k
Yu Yan China 12 46 0.1× 279 0.5× 281 0.6× 70 0.3× 132 0.6× 37 856
A. Gandorfer Germany 23 105 0.2× 1.3k 2.2× 395 0.9× 21 0.1× 152 0.7× 85 1.8k
Yasuo Doi Japan 17 35 0.1× 492 0.8× 42 0.1× 35 0.1× 73 0.3× 84 811
Bin Ren United States 15 395 0.6× 197 0.3× 23 0.1× 36 0.1× 64 0.3× 72 1.1k
Xuantao Su China 19 336 0.5× 72 0.1× 277 0.6× 2 0.0× 85 0.4× 68 913
T. E. Pickering United States 9 91 0.1× 365 0.6× 42 0.1× 178 0.7× 91 0.4× 31 594
R. R. Alfano United States 14 677 1.0× 17 0.0× 26 0.1× 48 0.2× 485 2.2× 25 1.0k

Countries citing papers authored by A. Halkola

Since Specialization
Citations

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

Fields of papers citing papers by A. Halkola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of A. Halkola. A scholar is included among the top collaborators of A. Halkola 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. Halkola. A. Halkola 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.
Galan, A., et al.. (2025). GPU-Accelerated Gravitational Lensing and Dynamical (GLaD) modeling for cosmology and galaxies. Astronomy and Astrophysics. 701. A280–A280.
2.
3.
Schuldt, S., S. H. Suyu, R. Cañameras, et al.. (2023). HOLISMOKES. Astronomy and Astrophysics. 673. A33–A33. 9 indexed citations
4.
Tyagi, Neelam, Michael J. Zeléfsky, Andreas G. Wibmer, et al.. (2020). Clinical experience and workflow challenges with magnetic resonance-only radiation therapy simulation and planning for prostate cancer. Physics and Imaging in Radiation Oncology. 16. 43–49. 29 indexed citations
5.
Yıldırım, Akın, et al.. (2020). Gravitational Lensing and Dynamics (GLaD): combined analysis to unveil properties of high-redshift galaxies. Astronomy and Astrophysics. 643. A135–A135. 14 indexed citations
6.
Schuldt, S., S. H. Suyu, Akın Yıldırım, et al.. (2019). Inner dark matter distribution of the Cosmic Horseshoe (J1148+1930) with gravitational lensing and dynamics. Springer Link (Chiba Institute of Technology). 20 indexed citations
7.
Rusu, Cristian E., Kenneth C. Wong, V. Bonvin, et al.. (2019). H0LiCOW XII. Lens mass model of WFI2033 − 4723 and blind measurement of its time-delay distance and H0. Monthly Notices of the Royal Astronomical Society. 498(1). 1440–1468. 82 indexed citations
8.
Suilamo, Sami, et al.. (2019). Assessment of dosimetric and positioning accuracy of a magnetic resonance imaging-only solution for external beam radiotherapy of pelvic anatomy. Physics and Imaging in Radiation Oncology. 11. 1–8. 23 indexed citations
9.
Suyu, S. H., C. Grillo, A. Halkola, et al.. (2018). MACS J0416.1–2403: Impact of line-of-sight structures on strong gravitational lensing modelling of galaxy clusters. Astronomy and Astrophysics. 614. A8–A8. 31 indexed citations
10.
Chen, Geoff C.-F., S. H. Suyu, Kenneth C. Wong, et al.. (2016). SHARP – III. First use of adaptive-optics imaging to constrain cosmology with gravitational lens time delays. Monthly Notices of the Royal Astronomical Society. 462(4). 3457–3475. 38 indexed citations
11.
Rahmer, Jürgen, A. Halkola, Bernhard Gleich, Ingo Schmale, & J. Borgert. (2015). First experimental evidence of the feasibility of multi-color magnetic particle imaging. Physics in Medicine and Biology. 60(5). 1775–1791. 131 indexed citations
12.
Bulte, Jeff W. M., Piotr Walczak, Mirosław Janowski, et al.. (2015). Quantitative “Hot-Spot” Imaging of Transplanted Stem Cells Using Superparamagnetic Tracers and Magnetic Particle Imaging. Tomography. 1(2). 91–97. 118 indexed citations
13.
Wong, Kenneth C., Kim‐Vy Tran, S. H. Suyu, et al.. (2014). DISCOVERY OF A STRONG LENSING GALAXY EMBEDDED IN A CLUSTER AT z = 1.62. The Astrophysical Journal Letters. 789(2). L31–L31. 13 indexed citations
14.
Monna, A., S. Seitz, Adi Zitrin, et al.. (2014). Constraining the galaxy mass content in the core of A383 using velocity dispersion measurements for individual cluster members. Monthly Notices of the Royal Astronomical Society. 447(2). 1224–1241. 18 indexed citations
15.
Borgert, Jörn, J. Schmidt, Ingo Schmale, et al.. (2013). Perspectives on clinical magnetic particle imaging. Biomedizinische Technik/Biomedical Engineering. 58(6). 551–6. 46 indexed citations
16.
Buzug, Thorsten M., Gaël Bringout, Marlitt Erbe, et al.. (2012). Magnetic particle imaging: Introduction to imaging and hardware realization. Zeitschrift für Medizinische Physik. 22(4). 323–334. 75 indexed citations
17.
Suyu, S. H. & A. Halkola. (2010). The halos of satellite galaxies: the companion of the massive elliptical lens SL2S J08544−0121. Springer Link (Chiba Institute of Technology). 62 indexed citations
18.
Schirmer, M., S. H. Suyu, T. Schrabback, et al.. (2010). J0454-0309: evidence of a strong lensing fossil group falling into a poor galaxy cluster. Springer Link (Chiba Institute of Technology). 15 indexed citations
19.
Limousin, Marceau, Johan Richard, R Cabanac, et al.. (2010). Strong lensing as a probe of the mass distributionbeyondthe Einstein radius. Astronomy and Astrophysics. 524. A95–A95. 20 indexed citations
20.
Halkola, A., H. Hildebrandt, T. Schrabback, et al.. (2008). The mass distribution of RX J1347–1145 from strong lensing. Springer Link (Chiba Institute of Technology). 29 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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