R. Mullick

414 total citations
11 papers, 311 citations indexed

About

R. Mullick is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Pulmonary and Respiratory Medicine. According to data from OpenAlex, R. Mullick has authored 11 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Computer Vision and Pattern Recognition and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in R. Mullick's work include Medical Imaging Techniques and Applications (6 papers), Medical Image Segmentation Techniques (6 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). R. Mullick is often cited by papers focused on Medical Imaging Techniques and Applications (6 papers), Medical Image Segmentation Techniques (6 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). R. Mullick collaborates with scholars based in United States, India and Spain. R. Mullick's co-authors include Hani B. Marcos, Peter L. Choyke, Peter J. Yim, Florian Wiesinger, Scott D. Wollenweber, A. H. R. Lonn, Gaspar Delso, Norberto Ezquerra, Dattesh Shanbhag and Sandeep Kaushik and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, IEEE Transactions on Medical Imaging and IEEE Transactions on Nuclear Science.

In The Last Decade

R. Mullick

9 papers receiving 303 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. Mullick United States 7 201 93 74 54 34 11 311
Henning Meyer Germany 8 157 0.8× 70 0.8× 91 1.2× 42 0.8× 26 0.8× 15 308
Martin Groher Germany 10 102 0.5× 227 2.4× 89 1.2× 49 0.9× 21 0.6× 18 316
Paul F. Hemler United States 11 146 0.7× 132 1.4× 88 1.2× 34 0.6× 7 0.2× 38 306
Xiaodong Wu United States 8 290 1.4× 83 0.9× 157 2.1× 11 0.2× 14 0.4× 20 398
Vincent F. van Ravesteijn Netherlands 7 112 0.6× 102 1.1× 43 0.6× 65 1.2× 13 0.4× 13 299
C A Lerner United States 3 163 0.8× 39 0.4× 28 0.4× 52 1.0× 17 0.5× 4 344
Matthias Thorn Germany 9 115 0.6× 89 1.0× 75 1.0× 96 1.8× 7 0.2× 18 349
Heiko Seim Germany 8 105 0.5× 95 1.0× 144 1.9× 23 0.4× 30 0.9× 13 314
Pascal Cathier France 11 270 1.3× 114 1.2× 74 1.0× 104 1.9× 7 0.2× 21 466
Fei Mao United States 9 141 0.7× 244 2.6× 83 1.1× 177 3.3× 22 0.6× 14 399

Countries citing papers authored by R. Mullick

Since Specialization
Citations

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

Fields of papers citing papers by R. Mullick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Mullick

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

All Works

11 of 11 papers shown
1.
2.
Wollenweber, Scott D., Gaspar Delso, A. H. R. Lonn, et al.. (2013). Evaluation of an Atlas-Based PET Head Attenuation Correction Using PET/CT & MR Patient Data. IEEE Transactions on Nuclear Science. 60(5). 3383–3390. 70 indexed citations
3.
Wollenweber, Scott D., A. H. R. Lonn, Dattesh Shanbhag, et al.. (2013). Comparison of 4-Class and Continuous Fat/Water Methods for Whole-Body, MR-Based PET Attenuation Correction. IEEE Transactions on Nuclear Science. 60(5). 3391–3398. 77 indexed citations
4.
Mullick, R., et al.. (2009). A framework for automated tumor detection in thoracic FDG pet images using texture-based features. 4191. 97–100. 17 indexed citations
5.
Mullick, R. & Norberto Ezquerra. (2002). Automatic segmentation of 3D cardiac SPECT imagery. 40–42. 1 indexed citations
6.
Peifer, John W., et al.. (2002). Coronary vasculature visualization from limited angiographic views. 195–200.
7.
Summers, Ronald M., et al.. (2002). Confocal volume rendering of the thorax. 2. 297–299. 1 indexed citations
8.
Yim, Peter J., et al.. (2001). Vessel surface reconstruction with a tubular deformable model. IEEE Transactions on Medical Imaging. 20(12). 1411–1421. 87 indexed citations
9.
Anderson, JH, et al.. (1997). daVinci—A Vascular Catheterization Simulator. Journal of Vascular and Interventional Radiology. 8(1). 261–261. 9 indexed citations
10.
Mullick, R. & Norberto Ezquerra. (1995). Automatic determination of LV orientation from SPECT data. IEEE Transactions on Medical Imaging. 14(1). 88–99. 13 indexed citations
11.
Peifer, John W., et al.. (1990). Visualization of multimodality cardiac imagery. IEEE Transactions on Biomedical Engineering. 37(8). 744–756. 36 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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