John Bogovic

6.3k total citations
42 papers, 1.3k citations indexed

About

John Bogovic is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, John Bogovic has authored 42 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Computer Vision and Pattern Recognition and 8 papers in Cognitive Neuroscience. Recurrent topics in John Bogovic's work include Advanced Neuroimaging Techniques and Applications (19 papers), Advanced MRI Techniques and Applications (14 papers) and Medical Image Segmentation Techniques (13 papers). John Bogovic is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (19 papers), Advanced MRI Techniques and Applications (14 papers) and Medical Image Segmentation Techniques (13 papers). John Bogovic collaborates with scholars based in United States, Germany and Switzerland. John Bogovic's co-authors include Jerry L. Prince, Pierre‐Louis Bazin, Bennett A. Landman, Stephan Saalfeld, Dzung L. Pham, Aaron Carass, Philipp Hanslovsky, Allan M. Wong, Aubrey V. Weigel and C. Shan Xu and has published in prestigious journals such as Nature, Cell and PLoS ONE.

In The Last Decade

John Bogovic

41 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Bogovic United States 18 535 265 224 207 168 42 1.3k
Erlend Hodneland Norway 21 446 0.8× 468 1.8× 148 0.7× 140 0.7× 140 0.8× 61 1.4k
Matthew McAuliffe United States 20 537 1.0× 331 1.2× 301 1.3× 178 0.9× 66 0.4× 51 2.0k
Sakir H. Gultekin United States 26 299 0.6× 720 2.7× 93 0.4× 175 0.8× 100 0.6× 90 3.2k
Lewis D. Griffin United Kingdom 28 559 1.0× 423 1.6× 866 3.9× 351 1.7× 129 0.8× 102 2.6k
Alexandra Badea United States 26 1.1k 2.0× 483 1.8× 178 0.8× 619 3.0× 95 0.6× 72 2.2k
İpek Oğuz United States 24 886 1.7× 230 0.9× 540 2.4× 402 1.9× 92 0.5× 118 2.6k
Julien Lefèvre France 19 297 0.6× 210 0.8× 87 0.4× 455 2.2× 228 1.4× 55 1.4k
J. Kaufhold United States 11 323 0.6× 160 0.6× 184 0.8× 232 1.1× 33 0.2× 21 1.2k
Jingxin Nie China 22 796 1.5× 145 0.5× 356 1.6× 961 4.6× 50 0.3× 61 1.7k
Nebojša T. Milošević Serbia 19 188 0.4× 234 0.9× 55 0.2× 169 0.8× 56 0.3× 75 895

Countries citing papers authored by John Bogovic

Since Specialization
Citations

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

Fields of papers citing papers by John Bogovic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Bogovic

This figure shows the co-authorship network connecting the top 25 collaborators of John Bogovic. A scholar is included among the top collaborators of John Bogovic 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 John Bogovic. John Bogovic 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.
Giang, W., Jesse Aaron, Satya Khuon, et al.. (2023). Architecture and dynamics of a desmosome–endoplasmic reticulum complex. Nature Cell Biology. 25(6). 823–835. 28 indexed citations
2.
3.
Lillvis, Joshua L., Hideo Otsuna, Takashi Kawase, et al.. (2022). Rapid reconstruction of neural circuits using tissue expansion and light sheet microscopy. eLife. 11. 25 indexed citations
4.
Weigel, Aubrey V., Chi‐Lun Chang, Gleb Shtengel, et al.. (2021). ER-to-Golgi protein delivery through an interwoven, tubular network extending from ER. Cell. 184(9). 2412–2429.e16. 168 indexed citations
5.
Bogovic, John, Hideo Otsuna, Larissa Heinrich, et al.. (2020). An unbiased template of the Drosophila brain and ventral nerve cord. PLoS ONE. 15(12). e0236495–e0236495. 59 indexed citations
6.
Yang, Zhen, Chuyang Ye, John Bogovic, et al.. (2015). Automated cerebellar lobule segmentation with application to cerebellar structural analysis in cerebellar disease. NeuroImage. 127. 435–444. 33 indexed citations
7.
8.
Bogovic, John, Gary B. Huang, & Viren Jain. (2014). Learned versus Hand-Designed Feature Representations for 3d Agglomeration. arXiv (Cornell University). 4 indexed citations
9.
Ye, Chuyang, John Bogovic, Sarah H. Ying, & Jerry L. Prince. (2013). Parcellation of the thalamus using diffusion tensor images and a multi-object geometric deformable model. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8669. 9 indexed citations
10.
Ye, Chuyang, John Bogovic, Sarah H. Ying, & Jerry L. Prince. (2013). Segmentation of the complete superior cerebellar peduncles using a multi-object geometric deformable model. PubMed. 2013. 49–52. 3 indexed citations
11.
Bogovic, John, et al.. (2013). Automatic cell segmentation in fluorescence images of confluent cell monolayers using multi-object geometric deformable model. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8669. 866904–866904. 7 indexed citations
12.
Bogovic, John, Bruno Jedynak, Rachel A. Rigg, et al.. (2012). Approaching expert results using a hierarchical cerebellum parcellation protocol for multiple inexpert human raters. NeuroImage. 64. 616–629. 28 indexed citations
13.
Bogovic, John, Jerry L. Prince, & Pierre‐Louis Bazin. (2012). A multiple object geometric deformable model for image segmentation. Computer Vision and Image Understanding. 117(2). 145–157. 53 indexed citations
14.
Chen, Min, Aaron Carass, John Bogovic, Pierre‐Louis Bazin, & Jerry L. Prince. (2011). Distance transforms in multi channel MR image registration. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7962(7962). 79621D–79621D. 1 indexed citations
15.
Bazin, Pierre‐Louis, Chuyang Ye, John Bogovic, et al.. (2011). Direct segmentation of the major white matter tracts in diffusion tensor images. NeuroImage. 58(2). 458–468. 55 indexed citations
16.
Bogovic, John, Pierre‐Louis Bazin, & Jerry L. Prince. (2010). Topology-preserving STAPLE. PubMed. 23. 1–6. 1 indexed citations
17.
Landman, Bennett A., John Bogovic, & Jerry L. Prince. (2010). Simultaneous truth and performance level estimation with incomplete, over-complete, and ancillary data. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7623. 76231N–76231N. 11 indexed citations
18.
Landman, Bennett A., Alan Huang, Aliya Gifford, et al.. (2010). Multi-parametric neuroimaging reproducibility: A 3-T resource study. NeuroImage. 54(4). 2854–2866. 215 indexed citations
19.
Thompson, Meredith, et al.. (2010). A novel contrast for DTI visualization for thalamus delineation. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7625. 762533–762533. 8 indexed citations
20.
Bogovic, John, Aaron Carass, Jing Wan, Bennett A. Landman, & Jerry L. Prince. (2008). Automatically identifying white matter tracts using cortical labels. PubMed. 96. 895–898. 3 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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