Tomas Ekeberg

4.2k total citations
19 papers, 300 citations indexed

About

Tomas Ekeberg is a scholar working on Radiation, Structural Biology and Nuclear and High Energy Physics. According to data from OpenAlex, Tomas Ekeberg has authored 19 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiation, 9 papers in Structural Biology and 4 papers in Nuclear and High Energy Physics. Recurrent topics in Tomas Ekeberg's work include Advanced X-ray Imaging Techniques (16 papers), Advanced Electron Microscopy Techniques and Applications (9 papers) and X-ray Spectroscopy and Fluorescence Analysis (7 papers). Tomas Ekeberg is often cited by papers focused on Advanced X-ray Imaging Techniques (16 papers), Advanced Electron Microscopy Techniques and Applications (9 papers) and X-ray Spectroscopy and Fluorescence Analysis (7 papers). Tomas Ekeberg collaborates with scholars based in Sweden, Germany and United States. Tomas Ekeberg's co-authors include Filipe R. N. C. Maia, János Hajdu, Nicuşor Tı̂mneanu, David van der Spoel, Carl Caleman, Max F. Hantke, Erik G. Marklund, Henry N. Chapman, Anton Barty and Justin L. P. Benesch and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and Physical Chemistry Chemical Physics.

In The Last Decade

Tomas Ekeberg

19 papers receiving 284 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tomas Ekeberg Sweden 10 217 156 95 32 29 19 300
G. Huldt Sweden 5 237 1.1× 159 1.0× 91 1.0× 29 0.9× 49 1.7× 5 307
Sunam Kim South Korea 9 245 1.1× 165 1.1× 80 0.8× 15 0.5× 39 1.3× 18 351
Kartik Ayyer Germany 9 162 0.7× 118 0.8× 90 0.9× 14 0.4× 21 0.7× 19 222
Shun Ono Japan 4 185 0.9× 96 0.6× 96 1.0× 45 1.4× 17 0.6× 16 266
J. Pines United States 9 197 0.9× 84 0.5× 77 0.8× 76 2.4× 33 1.1× 19 283
D. S. Damiani United States 6 136 0.6× 63 0.4× 77 0.8× 26 0.8× 46 1.6× 10 243
Matthew Seaberg United States 9 180 0.8× 80 0.5× 47 0.5× 49 1.5× 98 3.4× 28 324
Sebastian Carron United States 4 120 0.6× 66 0.4× 39 0.4× 36 1.1× 72 2.5× 4 199
Joel Warner United States 3 158 0.7× 134 0.9× 206 2.2× 22 0.7× 29 1.0× 6 392
Mitsuhiro Yamaga Japan 7 152 0.7× 51 0.3× 34 0.4× 44 1.4× 35 1.2× 19 220

Countries citing papers authored by Tomas Ekeberg

Since Specialization
Citations

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

Fields of papers citing papers by Tomas Ekeberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomas Ekeberg

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

All Works

19 of 19 papers shown
1.
Ekeberg, Tomas, et al.. (2024). Enhanced EMC—Advantages of partially known orientations in x-ray single particle imaging. The Journal of Chemical Physics. 160(11). 4 indexed citations
2.
Ekeberg, Tomas, et al.. (2024). Deep learning phase retrieval in x-ray single-particle imaging for biological macromolecules. Machine Learning Science and Technology. 5(4). 45022–45022. 1 indexed citations
3.
Daurer, Benedikt J., Simone Sala, Max F. Hantke, et al.. (2021). Ptychographic wavefront characterization for single-particle imaging at x-ray lasers. Optica. 8(4). 551–551. 15 indexed citations
4.
Morgan, Andrew J., Kartik Ayyer, Anton Barty, et al.. (2018). Ab initiophasing of the diffraction of crystals with translational disorder. Acta Crystallographica Section A Foundations and Advances. 75(1). 25–40. 10 indexed citations
5.
Tı̂mneanu, Nicuşor, et al.. (2018). Reproducibility of single protein explosions induced by X-ray lasers. Physical Chemistry Chemical Physics. 20(18). 12381–12389. 12 indexed citations
6.
Marklund, Erik G., et al.. (2017). Controlling Protein Orientation in Vacuum Using Electric Fields. The Journal of Physical Chemistry Letters. 8(18). 4540–4544. 35 indexed citations
7.
Sala, Simone, et al.. (2017). Ptychographic imaging for the characterization of X-ray free-electron laser beams. Journal of Physics Conference Series. 849. 12032–12032. 3 indexed citations
8.
Hantke, Max F., Tomas Ekeberg, & Filipe R. N. C. Maia. (2016). Condor: a simulation tool for flash X-ray imaging. Journal of Applied Crystallography. 49(4). 1356–1362. 24 indexed citations
9.
Ekeberg, Tomas, Stefan Engblom, & Jing Liu. (2015). Machine learning for ultrafast X-ray diffraction patterns on large-scale GPU clusters. The International Journal of High Performance Computing Applications. 29(2). 233–243. 3 indexed citations
10.
Andreasson, Jakob, Andrew V. Martin, Meng Liang, et al.. (2014). Automated identification and classification of single particle serial femtosecond X-ray diffraction data. Optics Express. 22(3). 2497–2497. 23 indexed citations
11.
Martin, Andrew V., Andrew J. Morgan, Tomas Ekeberg, et al.. (2013). The extraction of single-particle diffraction patterns from a multiple-particle diffraction pattern. Optics Express. 21(13). 15102–15102. 3 indexed citations
12.
Ekeberg, Tomas. (2012). Flash Diffractive Imaging in Three Dimensions. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1 indexed citations
13.
Seibert, M., Tomas Ekeberg, & Filipe R. N. C. Maia. (2011). Single mimivirus particles intercepted and imaged with an X-ray laser (CXIDB ID 1). OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
14.
Seibert, M., Sébastien Boutet, Martin Svenda, et al.. (2010). Femtosecond diffractive imaging of biological cells. Journal of Physics B Atomic Molecular and Optical Physics. 43(19). 194015–194015. 31 indexed citations
15.
Loh, N. Duane, Michael J. Bogan, Veit Elser, et al.. (2010). Cryptotomography: Reconstructing 3D Fourier Intensities from Randomly Oriented Single-Shot Diffraction Patterns. Physical Review Letters. 104(22). 225501–225501. 71 indexed citations
16.
Maia, Filipe R. N. C., Tomas Ekeberg, David van der Spoel, & János Hajdu. (2010). Hawk: the image reconstruction package for coherent X-ray diffractive imaging. Journal of Applied Crystallography. 43(6). 1535–1539. 33 indexed citations
17.
Loh, N. Duane, Michael J. Bogan, Veit Elser, et al.. (2010). Publisher’s Note: Cryptotomography: Reconstructing 3D Fourier Intensities from Randomly Oriented Single-Shot Diffraction Patterns [Phys. Rev. Lett.104, 225501 (2010)]. Physical Review Letters. 104(23). 6 indexed citations
18.
Maia, Filipe R. N. C., Tomas Ekeberg, Nicuşor Tı̂mneanu, David van der Spoel, & János Hajdu. (2009). Structural variability and the incoherent addition of scattered intensities in single-particle diffraction. Physical Review E. 80(3). 31905–31905. 18 indexed citations
19.
Haug, Edward J., et al.. (2002). A tutorial platform suitable for surgical simulator training (SimMentor).. PubMed. 85. 419–25. 6 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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