M. Casey

2.8k total citations · 1 hit paper
35 papers, 2.0k citations indexed

About

M. Casey is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, M. Casey has authored 35 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Radiology, Nuclear Medicine and Imaging, 26 papers in Radiation and 7 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in M. Casey's work include Medical Imaging Techniques and Applications (31 papers), Radiation Detection and Scintillator Technologies (21 papers) and Nuclear Physics and Applications (9 papers). M. Casey is often cited by papers focused on Medical Imaging Techniques and Applications (31 papers), Radiation Detection and Scintillator Technologies (21 papers) and Nuclear Physics and Applications (9 papers). M. Casey collaborates with scholars based in United States, Canada and Germany. M. Casey's co-authors include E.J. Hoffman, Stephen C. Strother, S. Grootoonk, U. Pietrzyk, K. Wienhard, D.F. Newport, M. Schmand, Dale L. Bailey, R. Nutt and J. Reed and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Physics in Medicine and Biology and Neural Computation.

In The Last Decade

M. Casey

33 papers receiving 1.9k citations

Hit Papers

Measuring PET scanner sensitivity: relating countrates to... 1990 2026 2002 2014 1990 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Casey United States 14 1.5k 906 355 271 158 35 2.0k
Claude Comtat France 31 2.5k 1.7× 873 1.0× 787 2.2× 132 0.5× 185 1.2× 131 3.1k
Roel Van Holen Belgium 25 1.3k 0.9× 684 0.8× 430 1.2× 201 0.7× 135 0.9× 116 1.7k
M. Sibomana Belgium 23 1.8k 1.2× 694 0.8× 408 1.1× 94 0.3× 146 0.9× 58 2.2k
R.H. Huesman United States 37 3.2k 2.2× 1.2k 1.3× 1.0k 2.8× 319 1.2× 210 1.3× 161 4.1k
Andrew J. Reader United Kingdom 33 3.3k 2.3× 1.2k 1.4× 959 2.7× 175 0.6× 291 1.8× 216 4.0k
Roger Fulton Australia 29 2.1k 1.4× 676 0.7× 677 1.9× 81 0.3× 63 0.4× 149 2.8k
Charalampos Tsoumpas United Kingdom 29 2.6k 1.8× 955 1.1× 883 2.5× 174 0.6× 193 1.2× 166 3.2k
Manbir Singh United States 23 1.2k 0.8× 670 0.7× 483 1.4× 125 0.5× 526 3.3× 119 2.1k
Piotr Kozłowski Canada 32 1.8k 1.3× 355 0.4× 306 0.9× 136 0.5× 120 0.8× 146 3.3k
C.W. Stearns United States 20 1.8k 1.2× 829 0.9× 566 1.6× 135 0.5× 99 0.6× 91 2.0k

Countries citing papers authored by M. Casey

Since Specialization
Citations

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

Fields of papers citing papers by M. Casey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of M. Casey. A scholar is included among the top collaborators of M. Casey 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. Casey. M. Casey 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.
Casey, M., et al.. (2015). Summing of dynamic sinograms. 59. 1–4. 1 indexed citations
2.
Panin, Vladimir, Michel Defrise, & M. Casey. (2010). Restoration of fine azimuthal sampling of measured TOF projection data. 28. 3079–3084. 13 indexed citations
3.
Conti, Maurizio, B. Bendriem, M. Casey, et al.. (2005). First experimental results of time-of-flight reconstruction on an LSO PET scanner. Physics in Medicine and Biology. 50(19). 4507–4526. 130 indexed citations
4.
Baker, K., W. E. Jones, L. Byars, M. Casey, & J. Reed. (2005). Lossless data compression for short duration 3D frames in positron emission tomography. 1831–1834. 1 indexed citations
5.
Herzog, Hans, Lutz Tellmann, Carsten Hocke, et al.. (2004). NEMA NU2-2001 guided performance evaluation of four Siemens ECAT PET scanners. IEEE Transactions on Nuclear Science. 51(5). 2662–2669. 54 indexed citations
6.
Jones, W.F., et al.. (2003). Optimizing rod window width in positron emission tomography. IEEE Conference on Nuclear Science Symposium and Medical Imaging. 30. 982–984. 2 indexed citations
7.
Brasse, D., Paul E. Kinahan, Carole Lartizien, et al.. (2002). Correction methods for random coincidences in 3D wholebody PET imaging. 2001 IEEE Nuclear Science Symposium Conference Record (Cat. No.01CH37310). 4. 2080–2084. 5 indexed citations
8.
Spinks, T J, Terry Jones, P Bloomfield, et al.. (2000). Physical characteristics of the ECAT EXACT3D positron tomograph. Physics in Medicine and Biology. 45(9). 2601–2618. 140 indexed citations
9.
Melcher, Charles L., M. Schmand, Lars Eriksson, et al.. (2000). Scintillation Properties of LS0:Ce Boules. 2 indexed citations
10.
Casey, M., et al.. (2000). Random correction for PET using singles count rates. JuSER (Forschungszentrum Jülich). 2 indexed citations
11.
Jones, W.F., J.C. Moyers, M. Casey, Charles C. Watson, & R. Nutt. (1999). Fast-channel LSO detectors and fiber-optic encoding for excellent dual photon transmission measurements in PET. IEEE Transactions on Nuclear Science. 46(4). 979–984. 9 indexed citations
12.
Casey, M.. (1998). Correction to Proof That Recurrent Neural Networks Can Robustly Recognize Only Regular Languages. Neural Computation. 10(5). 1067–1069. 5 indexed citations
13.
Watson, Charles C., D.F. Newport, M. Casey, et al.. (1997). Evaluation of simulation-based scatter correction for 3-D PET cardiac imaging. IEEE Transactions on Nuclear Science. 44(1). 90–97. 165 indexed citations
14.
Spinks, T.J., Terry Jones, Dale L. Bailey, et al.. (1992). Physical performance of a positron tomograph for brain imaging with retractable septa. Physics in Medicine and Biology. 37(8). 1637–1655. 256 indexed citations
15.
Wienhard, K., Lars I. Eriksson, S. Grootoonk, et al.. (1992). Performance Evaluation of the Positron Scanner ECAT EXACT. Journal of Computer Assisted Tomography. 16(5). 804–813. 207 indexed citations
16.
Mazoyer, Bernard, et al.. (1991). Physical characteristics of the ECAT 953B/31: a new high resolution brain positron tomograph. IEEE Transactions on Medical Imaging. 10(4). 499–504. 58 indexed citations
17.
Jones, W.F., L. Byars, & M. Casey. (1990). Design of a super fast three-dimensional projection system for positron emission tomography. IEEE Transactions on Nuclear Science. 37(2). 800–804. 33 indexed citations
18.
Strother, Stephen C., M. Casey, & E.J. Hoffman. (1990). Measuring PET scanner sensitivity: relating countrates to image signal-to-noise ratios using noise equivalents counts. IEEE Transactions on Nuclear Science. 37(2). 783–788. 423 indexed citations breakdown →
19.
Jones, W.F., et al.. (1986). A VMEBUS Based, Real Time Sorter Design for Positron Emission Tomography. IEEE Transactions on Nuclear Science. 33(1). 21 indexed citations
20.
Hoffman, E.J., et al.. (1985). A new multi-crystal two dimensional detector block for PET. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 4 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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