E.U. Mumcuoglu

962 total citations
26 papers, 711 citations indexed

About

E.U. Mumcuoglu is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, E.U. Mumcuoglu has authored 26 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Computer Vision and Pattern Recognition and 7 papers in Biomedical Engineering. Recurrent topics in E.U. Mumcuoglu's work include Medical Imaging Techniques and Applications (14 papers), Advanced X-ray and CT Imaging (7 papers) and Medical Image Segmentation Techniques (6 papers). E.U. Mumcuoglu is often cited by papers focused on Medical Imaging Techniques and Applications (14 papers), Advanced X-ray and CT Imaging (7 papers) and Medical Image Segmentation Techniques (6 papers). E.U. Mumcuoglu collaborates with scholars based in Türkiye, United States and Singapore. E.U. Mumcuoglu's co-authors include Simon R. Cherry, Richard M. Leahy, Zhenyu Zhou, Hasan Oğul, Edward Hoffman, Manbir Singh, Michael E. Phelps, Stefan Siegel, Yiping Shao and K. Meadors and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Physics in Medicine and Biology and Journal of Structural Biology.

In The Last Decade

E.U. Mumcuoglu

25 papers receiving 669 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E.U. Mumcuoglu Türkiye 12 534 247 225 67 63 26 711
Christoph Kolbitsch Germany 19 921 1.7× 321 1.3× 116 0.5× 20 0.3× 65 1.0× 91 1.1k
Richard L. Van Metter United States 10 249 0.5× 204 0.8× 64 0.3× 94 1.4× 120 1.9× 25 588
Paul Evans United Kingdom 14 189 0.4× 254 1.0× 212 0.9× 21 0.3× 95 1.5× 68 521
B.M.W. Tsui United States 15 1.4k 2.5× 728 2.9× 353 1.6× 23 0.3× 70 1.1× 46 1.5k
Xueli Chen China 18 596 1.1× 511 2.1× 51 0.2× 66 1.0× 16 0.3× 70 875
C.-T. Chen United States 10 139 0.3× 54 0.2× 106 0.5× 24 0.4× 118 1.9× 18 353
Kibo Ote Japan 16 511 1.0× 139 0.6× 224 1.0× 11 0.2× 122 1.9× 37 601
Shun Zhu China 4 449 0.8× 156 0.6× 37 0.2× 26 0.4× 101 1.6× 16 586
George Kontaxakis Spain 15 593 1.1× 186 0.8× 324 1.4× 6 0.1× 71 1.1× 64 735

Countries citing papers authored by E.U. Mumcuoglu

Since Specialization
Citations

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

Fields of papers citing papers by E.U. Mumcuoglu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E.U. Mumcuoglu. 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 E.U. Mumcuoglu. The network helps show where E.U. Mumcuoglu may publish in the future.

Co-authorship network of co-authors of E.U. Mumcuoglu

This figure shows the co-authorship network connecting the top 25 collaborators of E.U. Mumcuoglu. A scholar is included among the top collaborators of E.U. Mumcuoglu 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 E.U. Mumcuoglu. E.U. Mumcuoglu 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.
Mumcuoglu, E.U., et al.. (2016). A validated active contour method driven by parabolic arc model for detection and segmentation of mitochondria. Journal of Structural Biology. 194(3). 253–271. 11 indexed citations
2.
Mumcuoglu, E.U., et al.. (2015). Bayesian segmentation of human facial tissue using 3D MR-CT information fusion, resolution enhancement and partial volume modelling. Computer Methods and Programs in Biomedicine. 124. 31–44. 4 indexed citations
3.
Mumcuoglu, E.U., et al.. (2012). Computerized detection and segmentation of mitochondria on electron microscope images. Journal of Microscopy. 246(3). 248–265. 19 indexed citations
4.
Mumcuoglu, E.U., Frederick R. Long, Robert G. Castile, & Metin N. Gürcan. (2012). Image Analysis for Cystic Fibrosis: Computer-Assisted Airway Wall and Vessel Measurements from Low-Dose, Limited Scan Lung CT Images. Journal of Digital Imaging. 26(1). 82–96. 8 indexed citations
5.
Mumcuoglu, E.U., et al.. (2012). Automatic segmentation of human facial tissue by MRI–CT fusion: A feasibility study. Computer Methods and Programs in Biomedicine. 108(3). 1106–1120. 17 indexed citations
6.
Mumcuoglu, E.U., et al.. (2011). Computerized scar detection on renal cortical scintigraphy images. Nuclear Medicine Communications. 32(11). 1070–1078. 1 indexed citations
7.
Konukseven, Erhan İlhan, Mustafa Ercüment Önder, E.U. Mumcuoglu, & Reha Kişnişçi. (2010). Development of a Visio‐Haptic Integrated Dental Training Simulation System. Journal of Dental Education. 74(8). 880–891. 35 indexed citations
8.
Mumcuoglu, E.U., et al.. (2009). Image analysis for cystic fibrosis: Automatic lung airway wall and vessel measurement on CT images. PubMed. 2009. 3545–3548. 8 indexed citations
9.
Oğul, Hasan & E.U. Mumcuoglu. (2007). Subcellular Localization Prediction with New Protein Encoding Schemes. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 4(2). 227–232. 11 indexed citations
10.
Mumcuoglu, E.U., et al.. (2006). A Content Based Retrieval System for Renal Scintigraphy Images. AYBU AVESIS. 1–4.
11.
Oğul, Hasan & E.U. Mumcuoglu. (2006). SVM-based detection of distant protein structural relationships using pairwise probabilistic suffix trees. Computational Biology and Chemistry. 30(4). 292–299. 12 indexed citations
12.
Oğul, Hasan & E.U. Mumcuoglu. (2006). A discriminative method for remote homology detection based on n-peptide compositions with reduced amino acid alphabets. Biosystems. 87(1). 75–81. 26 indexed citations
13.
Mumcuoglu, E.U., et al.. (2005). Simultaneous Triple-Registration Of Ictal Spect, Interictal Spect And Mr Images For Epilepsy Studies: Method And Validation. European Signal Processing Conference. 1–4. 1 indexed citations
14.
Zhou, Zhenyu, et al.. (2005). Study of the effects of using anatomical priors in PET reconstruction. 52. 1749–1753. 1 indexed citations
15.
Mumcuoglu, E.U., Richard M. Leahy, & Simon R. Cherry. (2005). Fast Bayesian techniques for attenuation corrected whole-body PET. 8. 1902–1906. 1 indexed citations
16.
Zhou, Zhenyu, Richard M. Leahy, & E.U. Mumcuoglu. (2002). Simultaneous hyperparameter estimation and Bayesian image reconstruction for PET. 4. 1604–1608. 2 indexed citations
17.
Mumcuoglu, E.U. & Richard M. Leahy. (2002). A gradient projection conjugate gradient algorithm for Bayesian PET reconstruction. 3. 1212–1216. 5 indexed citations
18.
Mumcuoglu, E.U., Richard M. Leahy, & Simon R. Cherry. (1996). Bayesian reconstruction of PET images: methodology and performance analysis. Physics in Medicine and Biology. 41(9). 1777–1807. 163 indexed citations
19.
Cherry, Simon R., Yiping Shao, Stefan Siegel, et al.. (1996). Optical fiber readout of scintillator arrays using a multi-channel PMT: a high resolution PET detector for animal imaging. IEEE Transactions on Nuclear Science. 43(3). 1932–1937. 75 indexed citations
20.
Mumcuoglu, E.U., Richard M. Leahy, Simon R. Cherry, & Zhenyu Zhou. (1994). Fast gradient-based methods for Bayesian reconstruction of transmission and emission PET images. IEEE Transactions on Medical Imaging. 13(4). 687–701. 210 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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