Jonathan Stoeckel

584 total citations
11 papers, 339 citations indexed

About

Jonathan Stoeckel is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jonathan Stoeckel has authored 11 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Pulmonary and Respiratory Medicine and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jonathan Stoeckel's work include Lung Cancer Diagnosis and Treatment (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Neurological Disease Mechanisms and Treatments (2 papers). Jonathan Stoeckel is often cited by papers focused on Lung Cancer Diagnosis and Treatment (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Neurological Disease Mechanisms and Treatments (2 papers). Jonathan Stoeckel collaborates with scholars based in United States, Germany and France. Jonathan Stoeckel's co-authors include Glenn Fung, Kai Uwe Juergens, Florian Beyer, Dag Wormanns, Eva Maria Fallenberg, Walter Heindel, Grégoire Malandain, Nicholas Ayache, Jean‐Baptiste Poline and Jacques Darcourt and has published in prestigious journals such as NeuroImage, European Radiology and Knowledge and Information Systems.

In The Last Decade

Jonathan Stoeckel

11 papers receiving 322 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Stoeckel United States 6 112 111 86 83 68 11 339
Alberto F. Goldszal United States 8 156 1.4× 123 1.1× 39 0.5× 60 0.7× 31 0.5× 14 385
Gongbo Liang United States 13 180 1.6× 81 0.7× 75 0.9× 232 2.8× 42 0.6× 38 479
Tongtong Che China 11 146 1.3× 67 0.6× 44 0.5× 68 0.8× 16 0.2× 22 313
Nuwan Madusanka South Korea 9 66 0.6× 45 0.4× 106 1.2× 94 1.1× 20 0.3× 28 246
Zhuoyuan Li China 6 121 1.1× 89 0.8× 54 0.6× 101 1.2× 22 0.3× 12 301
Ahsan Bin Tufail Pakistan 9 132 1.2× 84 0.8× 146 1.7× 162 2.0× 17 0.3× 15 378
Mouloud Adel France 14 320 2.9× 295 2.7× 129 1.5× 111 1.3× 27 0.4× 45 626
Jean‐Yves Boire France 10 145 1.3× 129 1.2× 24 0.3× 42 0.5× 21 0.3× 25 392
Akshay Pai Denmark 8 89 0.8× 61 0.5× 109 1.3× 95 1.1× 14 0.2× 28 356
Kun Zhao China 14 250 2.2× 65 0.6× 105 1.2× 103 1.2× 32 0.5× 47 586

Countries citing papers authored by Jonathan Stoeckel

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Stoeckel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Stoeckel

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Stoeckel. A scholar is included among the top collaborators of Jonathan Stoeckel 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 Jonathan Stoeckel. Jonathan Stoeckel 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.
Acharyya, Mausumi, Sumit Chakravarty, & Jonathan Stoeckel. (2008). Use of random process-based fractal measure for characterization nodules and suspicious regions in lung. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6915. 69151F–69151F. 1 indexed citations
2.
Beyer, Florian, Eva Maria Fallenberg, Kai Uwe Juergens, et al.. (2007). Comparison of sensitivity and reading time for the use of computer-aided detection (CAD) of pulmonary nodules at MDCT as concurrent or second reader. European Radiology. 17(11). 2941–2947. 73 indexed citations
3.
Fung, Glenn & Jonathan Stoeckel. (2006). SVM feature selection for classification of SPECT images of Alzheimer's disease using spatial information. Knowledge and Information Systems. 11(2). 243–258. 106 indexed citations
4.
Beyer, Florian, Eva Maria Fallenberg, Kai Uwe Juergens, et al.. (2006). Comparison of sensitivity and reading time for the use of computer aided detection (CAD) of pulmonary nodules at MDCT as concurrent or second reader. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6146. 614617–614617. 3 indexed citations
5.
Stoeckel, Jonathan & Glenn Fung. (2006). SVM Feature Selection for Classification of SPECT Images of Alzheimer’s Disease Using Spatial Information. 410–417. 125 indexed citations
6.
Wolf, Matthias, Arun V. Krishnan, Marcos Salganicoff, et al.. (2005). CAD performance analysis for pulmonary nodule detection on thin-slice MDCT scans. International Congress Series. 1281. 1104–1108. 3 indexed citations
7.
Naidich, David P., Jane P. Ko, Jonathan Stoeckel, et al.. (2004). Computer-aided diagnosis: impact on nodule detection among community level radiologists. A multi-reader study. International Congress Series. 1268. 902–907. 8 indexed citations
8.
Stoeckel, Jonathan, Frans M. Vos, Pieter H. Vos, & A.M. Vossepoel. (2002). An evaluation of ridge extraction methods for portal imaging. 3. 429–432. 3 indexed citations
9.
Stoeckel, Jonathan, et al.. (2002). A spatio-temporal model-based statistical approach to detect evolving multiple sclerosis lesions. 105–112. 8 indexed citations
10.
Stoeckel, Jonathan, Jean‐Baptiste Poline, Grégoire Malandain, Nicholas Ayache, & Jacques Darcourt. (2001). Smoothness and degrees of freedom restrictions when using SPM99. NeuroImage. 13(6). 259–259. 5 indexed citations
11.
Stoeckel, Jonathan, Jean‐Baptiste Poline, Grégoire Malandain, Nicholas Ayache, & Jacques Darcourt. (2001). Smoothness and degrees of freedom restrictions when using SPM 99. HAL (Le Centre pour la Communication Scientifique Directe). 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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