M. Pichotka

683 total citations
26 papers, 415 citations indexed

About

M. Pichotka is a scholar working on Radiation, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, M. Pichotka has authored 26 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Radiation, 14 papers in Biomedical Engineering and 13 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in M. Pichotka's work include Advanced X-ray and CT Imaging (14 papers), Particle Detector Development and Performance (13 papers) and Medical Imaging Techniques and Applications (9 papers). M. Pichotka is often cited by papers focused on Advanced X-ray and CT Imaging (14 papers), Particle Detector Development and Performance (13 papers) and Medical Imaging Techniques and Applications (9 papers). M. Pichotka collaborates with scholars based in Czechia, Germany and Switzerland. M. Pichotka's co-authors include S. Procz, M. Fiederle, G. Blaj, M. Campbell, R. Ballabriga, W. Wong, E.H.M. Heijne, L. Tlustos, E. Fröjdh and J. Jakůbek and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Nuclear Science.

In The Last Decade

M. Pichotka

25 papers receiving 400 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. Pichotka Czechia	10	215	184	167	166	136	26	415
B. Mikulec Switzerland	11	212 1.0×	171 0.9×	142 0.9×	215 1.3×	180 1.3×	49	422
F. Krejci Czechia	11	117 0.5×	185 1.0×	75 0.4×	68 0.4×	40 0.3×	42	340
Markus Firsching Germany	12	386 1.8×	129 0.7×	343 2.1×	74 0.4×	59 0.4×	32	475
X. Y. Wu United States	10	230 1.1×	251 1.4×	193 1.2×	32 0.2×	83 0.6×	17	459
Elena Eggl Germany	12	225 1.0×	356 1.9×	177 1.1×	54 0.3×	21 0.2×	26	468
H. Krüger Germany	11	131 0.6×	147 0.8×	79 0.5×	144 0.9×	176 1.3×	21	332
Ling-Jian Meng United States	13	169 0.8×	311 1.7×	298 1.8×	43 0.3×	102 0.8×	54	497
Shinian Fu China	10	119 0.6×	143 0.8×	40 0.2×	88 0.5×	201 1.5×	90	419
P. Zambon Netherlands	11	135 0.6×	120 0.7×	73 0.4×	50 0.3×	80 0.6×	29	283
M. Marziani Italy	11	239 1.1×	292 1.6×	250 1.5×	48 0.3×	37 0.3×	39	479

Countries citing papers authored by M. Pichotka

Since Specialization

Citations

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

Fields of papers citing papers by M. Pichotka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

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20 of 20 papers shown

Pichotka, M., Alexander Rau, Marco Reisert, et al.. (2025). Photon-counting-detector CT outperforms state-of-the-art cone-beam and energy-integrated-detector CT in delineation of dental root canals. Scientific Reports. 15(1). 2978–2978. 3 indexed citations

Rau, Alexander, Friederike Lang, Anna Maria Fink, et al.. (2025). Photon-counting CT outperforms dental CBCT in detecting small accessory canals in root-filled teeth in a phantom study. Scientific Reports. 15(1). 37352–37352.

Neubauer, Jakob, Caroline Wilpert, Florin‐Andrei Taran, et al.. (2023). Diagnostic Accuracy of Contrast-Enhanced Thoracic Photon-Counting Computed Tomography for Opportunistic Locoregional Staging of Breast Cancer Compared With Digital Mammography. Investigative Radiology. 59(7). 489–494. 6 indexed citations

Bronsert, Peter, et al.. (2022). Accuracy of cone-beam computed tomography, digital mammography and digital breast tomosynthesis for microcalcifications and margins to microcalcifications in breast specimens. Scientific Reports. 12(1). 17639–17639. 5 indexed citations

Pichotka, M., et al.. (2022). Investigation of BGA underfill process based on multipositional computed tomography. Journal of Instrumentation. 17(6). P06037–P06037. 1 indexed citations

Biskup, Bartolomej, et al.. (2021). Timepix3 detector network for nuclear waste monitoring. SHILAP Revista de lepidopterología. 253. 7010–7010. 1 indexed citations

Pichotka, M., et al.. (2019). Improvement of TimePix energy resolution correcting threshold variations. Journal of Instrumentation. 14(1). C01010–C01010. 1 indexed citations

Zaťko, Bohumír, Jan Žemlička, Andrea Šagátová, et al.. (2018). First tests of Timepix detectors based on semi-insulating GaAs matrix of different pixel size. Journal of Instrumentation. 13(2). C02013–C02013. 5 indexed citations

Billoud, T. R. V., C. Leroy, C. Papadatos, et al.. (2018). Homogeneity study of a GaAs:Cr pixelated sensor by means of X-rays. Journal of Instrumentation. 13(4). P04002–P04002. 3 indexed citations

10.

Zaťko, Bohumír, J. Jakůbek, Andrea Šagátová, et al.. (2018). Imaging performance of a Timepix detector based on semi-insulating GaAs. Journal of Instrumentation. 13(1). C01034–C01034. 11 indexed citations

11.

Vavřı́k, Daniel, J. Jakůbek, Ivana Kumpová, & M. Pichotka. (2017). Laboratory based study of dynamical processes by 4D X-ray CT with sub-second temporal resolution. Journal of Instrumentation. 12(2). C02010–C02010. 8 indexed citations

12.

Pichotka, M., et al.. (2017). Table-top phase-contrast imaging employing photon-counting detectors towards mammographic applications. Journal of Instrumentation. 12(2). C02032–C02032. 2 indexed citations

13.

Bergmann, B., M. Pichotka, S. Pospı́s̆il, et al.. (2017). 3D track reconstruction capability of a silicon hybrid active pixel detector. The European Physical Journal C. 77(6). 51 indexed citations

14.

Kumpová, Ivana, Michal Vopálenský, Tomáš Fíla, et al.. (2016). On-the-fly fast X-ray tomography inspection of the quasi-brittle material three point bending test. ASEP. 1–3. 4 indexed citations

15.

Bergmann, B., et al.. (2016). Measurement of particle directions in low earth orbit with a Timepix. Journal of Instrumentation. 11(11). C11023–C11023. 21 indexed citations

16.

Pichotka, M., et al.. (2015). Spectroscopic micro-tomography of metallic-organic composites by means of photon-counting detectors. Journal of Instrumentation. 10(12). C12033–C12033. 4 indexed citations

17.

Walsh, Michael F., S. Procz, M. Pichotka, et al.. (2013). Spectral CT data acquisition with Medipix3.1. Journal of Instrumentation. 8(10). P10012–P10012. 16 indexed citations

18.

Ballabriga, R., J. Alozy, G. Blaj, et al.. (2013). The Medipix3RX: a high resolution, zero dead-time pixel detector readout chip allowing spectroscopic imaging. Journal of Instrumentation. 8(2). C02016–C02016. 202 indexed citations

19.

Procz, S., M. Pichotka, Elias Hamann, et al.. (2011). Flatfield Correction Optimization for Energy Selective X-Ray Imaging With Medipix3. IEEE Transactions on Nuclear Science. 58(6). 3182–3189. 11 indexed citations

20.

Procz, S., A. Zwerger, A. Fauler, et al.. (2010). Energy selective X-ray imaging with Medipix. 3846–3851. 5 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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