Michael Graß

8.0k total citations · 1 hit paper
127 papers, 6.8k citations indexed

About

Michael Graß is a scholar working on Radiology, Nuclear Medicine and Imaging, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Michael Graß has authored 127 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Radiology, Nuclear Medicine and Imaging, 40 papers in Materials Chemistry and 37 papers in Biomedical Engineering. Recurrent topics in Michael Graß's work include Medical Imaging Techniques and Applications (43 papers), Advanced MRI Techniques and Applications (32 papers) and Advanced X-ray and CT Imaging (30 papers). Michael Graß is often cited by papers focused on Medical Imaging Techniques and Applications (43 papers), Advanced MRI Techniques and Applications (32 papers) and Advanced X-ray and CT Imaging (30 papers). Michael Graß collaborates with scholars based in Germany, United States and Finland. Michael Graß's co-authors include Gábor A. Somorjai, Zhi Liu, Ya‐Wen Zhang, Derek R. Butcher, Bongjin Simon Mun, Hendrik Bluhm, Russ Renzas, Miquel Salmerón, Peidong Yang and Krisztián Niesz and has published in prestigious journals such as Science, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Michael Graß

125 papers receiving 6.8k citations

Hit Papers

Reaction-Driven Restructuring of Rh-Pd and Pt-Pd Core-She... 2008 2026 2014 2020 2008 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Graß Germany 40 4.3k 2.0k 1.1k 1.1k 997 127 6.8k
V. I. Bukhtiyarov Russia 54 6.9k 1.6× 1.6k 0.8× 1.1k 1.0× 3.4k 3.2× 1.3k 1.3× 352 9.4k
R.T.K. Baker United States 49 4.6k 1.1× 868 0.4× 1.1k 1.0× 1.4k 1.3× 3.3k 3.3× 149 8.8k
Peter Johnston Australia 33 3.6k 0.8× 1.0k 0.5× 1.5k 1.3× 1.5k 1.4× 1.8k 1.8× 171 6.0k
Min Zhang China 38 2.6k 0.6× 1.1k 0.5× 467 0.4× 417 0.4× 799 0.8× 330 5.4k
Andrea Vittadini Italy 35 5.8k 1.4× 3.4k 1.7× 605 0.5× 699 0.7× 482 0.5× 152 8.1k
Tadashi Hattori Japan 55 6.4k 1.5× 1.9k 1.0× 1.2k 1.0× 4.1k 3.8× 800 0.8× 358 9.5k
Tapani A. Pakkanen Finland 46 4.1k 1.0× 681 0.3× 918 0.8× 818 0.8× 4.3k 4.3× 496 10.1k
A. Miotello Italy 57 8.0k 1.9× 4.1k 2.0× 1.7k 1.4× 1.9k 1.8× 838 0.8× 402 13.1k
Gary L. Haller United States 52 6.5k 1.5× 1.0k 0.5× 1.6k 1.4× 3.0k 2.8× 961 1.0× 214 9.1k
Richard I. Walton United Kingdom 56 7.7k 1.8× 1.7k 0.9× 809 0.7× 518 0.5× 927 0.9× 299 12.1k

Countries citing papers authored by Michael Graß

Since Specialization
Citations

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

Fields of papers citing papers by Michael Graß

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Graß

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Graß. A scholar is included among the top collaborators of Michael Graß 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 Michael Graß. Michael Graß 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.
Greuter, Marcel J. W., Robbert W. van Hamersvelt, Niek H. J. Prakken, et al.. (2024). The influence of motion-compensated reconstruction on coronary artery analysis for a dual-layer detector CT system: a dynamic phantom study. European Radiology. 34(8). 4874–4882. 4 indexed citations
2.
Martinez, Marilyn N., Fang Wu, Bálint Sinkó, et al.. (2022). A Critical Overview of the Biological Effects of Excipients (Part II): Scientific Considerations and Tools for Oral Product Development. The AAPS Journal. 24(3). 61–61. 5 indexed citations
4.
Baltruschat, Ivo M., Hannes Nickisch, Axel Saalbach, et al.. (2020). Smart chest X-ray worklist prioritization using artificial intelligence: a clinical workflow simulation. PUBLISSO (German National Library of Medicine). 56 indexed citations
5.
Lessick, Jonathan, Oliver Klass, Matthew Walker, et al.. (2015). Automatic Determination of Differential Coronary Artery Motion Minima for Cardiac Computed Tomography Optimal Phase Selection. Academic Radiology. 22(6). 697–703. 1 indexed citations
6.
Tacher, Vania, Rafael Durán, MingDe Lin, et al.. (2015). Multimodality Imaging of Ethiodized Oil–loaded Radiopaque Microspheres during Transarterial Embolization of Rabbits with VX2 Liver Tumors. Radiology. 279(3). 741–753. 26 indexed citations
7.
Mory, Cyril, Bo Zhang, Michael Graß, et al.. (2014). Cardiac C‐arm computed tomography using a 3D + time ROI reconstruction method with spatial and temporal regularization. Medical Physics. 41(2). 21903–21903. 32 indexed citations
8.
Bracken, John, Michael Kim, John C. Messenger, et al.. (2014). TCT-666 Short-roll C-arm computed tomography (C-arm CT) scans to guide transcatheter aortic valve replacements. Journal of the American College of Cardiology. 64(11). B194–B194.
9.
Haase, Christian, Dirk Schäfer, Olaf Dössel, & Michael Graß. (2013). Model based 3D CS-catheter tracking from 2D X-ray projections: Binary versus attenuation models. Computerized Medical Imaging and Graphics. 38(3). 224–231. 5 indexed citations
10.
Tolker‐Nielsen, Tim, et al.. (2012). Filter calculation for x-ray tomosynthesis reconstruction. Physics in Medicine and Biology. 57(12). 3915–3930. 9 indexed citations
11.
Schwartz, Jonathan, Anne M. Neubauer, Thomas E. Fagan, et al.. (2011). Potential role of three-dimensional rotational angiography and C-arm CT for valvular repair and implantation. International journal of cardiac imaging. 27(8). 1205–1222. 39 indexed citations
12.
Schäfer, Dirk, et al.. (2011). FBP and BPF reconstruction methods for circular X-ray tomography with off-center detector. Medical Physics. 38(S1). S85–S94. 19 indexed citations
13.
Zhang, Chunjuan, Michael Graß, Anthony H. McDaniel, et al.. (2010). Measuring fundamental properties in operating solid oxide electrochemical cells by using in situ X-ray photoelectron spectroscopy. Nature Materials. 9(11). 944–949. 238 indexed citations
14.
Neubauer, Anne M., et al.. (2009). Three-Dimensional Coronary Visualization, Part 2: 3D Reconstruction. Cardiology Clinics. 27(3). 453–465. 12 indexed citations
15.
Graß, Michael, et al.. (2009). Optimization of acquisition trajectories for 3D rotational coronary venography. International Journal of Computer Assisted Radiology and Surgery. 5(1). 19–28. 2 indexed citations
16.
Movassaghi, Babak, Michael Graß, Volker Rasche, et al.. (2006). 3D Reconstruction of Coronary Stents in Vivo Based on Motion Compensated X-Ray Angiograms. Lecture notes in computer science. 9(Pt 2). 177–184. 10 indexed citations
17.
Rasche, Volker, Babak Movassaghi, Michael Graß, et al.. (2006). Three-dimensional X-ray Coronary Angiography in the Porcine Model: A Feasibility Study. Academic Radiology. 13(5). 644–651. 20 indexed citations
18.
Hoffmann, Martin, Heshui Shi, Robert Manzke, et al.. (2005). Noninvasive Coronary Angiography with 16–Detector Row CT: Effect of Heart Rate. Radiology. 234(1). 86–97. 210 indexed citations
19.
Niesz, Krisztián, Michael Graß, & Gábor A. Somorjai. (2005). Precise Control of the Pt Nanoparticle Size by Seeded Growth Using EO13PO30EO13 Triblock Copolymers as Protective Agents. Nano Letters. 5(11). 2238–2240. 92 indexed citations
20.
Shechter, G., et al.. (2003). Cardiac image reconstruction on a 16-slice CT scanner using a retrospectively ECG-gated multicycle 3D back-projection algorithm. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5032. 1820–1820. 19 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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