Elizabeth Jurrus

3.2k total citations
27 papers, 596 citations indexed

About

Elizabeth Jurrus is a scholar working on Biophysics, Structural Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Elizabeth Jurrus has authored 27 papers receiving a total of 596 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Biophysics, 6 papers in Structural Biology and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Elizabeth Jurrus's work include Cell Image Analysis Techniques (13 papers), Advanced Fluorescence Microscopy Techniques (6 papers) and Advanced Electron Microscopy Techniques and Applications (6 papers). Elizabeth Jurrus is often cited by papers focused on Cell Image Analysis Techniques (13 papers), Advanced Fluorescence Microscopy Techniques (6 papers) and Advanced Electron Microscopy Techniques and Applications (6 papers). Elizabeth Jurrus collaborates with scholars based in United States and Germany. Elizabeth Jurrus's co-authors include Tolga Taşdizen, Ross Whitaker, Robert E. Marc, Bryan W. Jones, James R. Anderson, António R. C. Paiva, Manasi Datar, Andrew E. Anderson, Michael D. Harris and Christopher L. Peters and has published in prestigious journals such as Analytical Chemistry, The Journal of Physical Chemistry B and PLoS Biology.

In The Last Decade

Elizabeth Jurrus

25 papers receiving 581 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elizabeth Jurrus United States 13 234 143 119 102 63 27 596
Laurène Donati Switzerland 7 267 1.1× 75 0.5× 71 0.6× 193 1.9× 29 0.5× 10 622
Hao Xie China 14 352 1.5× 45 0.3× 83 0.7× 78 0.8× 119 1.9× 52 1.1k
Hui Qiao China 18 265 1.1× 19 0.1× 129 1.1× 88 0.9× 50 0.8× 88 1.1k
Kevin C. Zhou United States 17 160 0.7× 53 0.4× 124 1.0× 199 2.0× 130 2.1× 55 982
Amelio Vázquez-Reina United States 8 189 0.8× 83 0.6× 118 1.0× 47 0.5× 26 0.4× 12 308
Edward J. Botcherby United Kingdom 13 834 3.6× 93 0.7× 46 0.4× 74 0.7× 119 1.9× 23 1.2k
Tim-Oliver Buchholz Germany 5 162 0.7× 115 0.8× 416 3.5× 137 1.3× 17 0.3× 5 905
Tingying Peng Germany 15 239 1.0× 27 0.2× 318 2.7× 200 2.0× 59 0.9× 44 1.3k
Eva L. Dyer United States 10 54 0.2× 41 0.3× 93 0.8× 50 0.5× 74 1.2× 37 547
Mikhail E. Kandel United States 24 458 2.0× 22 0.2× 321 2.7× 92 0.9× 61 1.0× 59 1.3k

Countries citing papers authored by Elizabeth Jurrus

Since Specialization
Citations

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

Fields of papers citing papers by Elizabeth Jurrus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elizabeth Jurrus

This figure shows the co-authorship network connecting the top 25 collaborators of Elizabeth Jurrus. A scholar is included among the top collaborators of Elizabeth Jurrus 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 Elizabeth Jurrus. Elizabeth Jurrus 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.
Girard, Michael, et al.. (2021). Uranium Oxide Synthetic Pathway Discernment through Unsupervised Morphological Analysis. Journal of Nuclear Materials. 552. 152983–152983. 12 indexed citations
2.
Jurrus, Elizabeth, et al.. (2016). Adaptive visual sort and summary of micrographic images of nanoparticles for forensic analysis. PubMed. 2016. 1–6. 1 indexed citations
3.
Harris, Michael D., Manasi Datar, Ross Whitaker, et al.. (2013). Statistical shape modeling of cam femoroacetabular impingement. Journal of Orthopaedic Research®. 31(10). 1620–1626. 69 indexed citations
4.
Livnat, Yarden, et al.. (2013). The CommonGround visual paradigm for biosurveillance. 53. 352–357. 1 indexed citations
5.
Jones, Kevin B., Manasi Datar, Huifeng Jin, et al.. (2012). Toward an understanding of the short bone phenotype associated with multiple osteochondromas. Journal of Orthopaedic Research®. 31(4). 651–657. 18 indexed citations
6.
Jurrus, Elizabeth, Shigeki Watanabe, António R. C. Paiva, et al.. (2012). Semi-Automated Neuron Boundary Detection and Nonbranching Process Segmentation in Electron Microscopy Images. Neuroinformatics. 11(1). 5–29. 15 indexed citations
7.
Paiva, António R. C., Elizabeth Jurrus, Rebecca L. Pfeiffer, et al.. (2012). Serial section registration of axonal confocal microscopy datasets for long-range neural circuit reconstruction. Journal of Neuroscience Methods. 207(2). 200–210. 3 indexed citations
8.
Seyedhosseini, Mojtaba, Ritwik Kumar, Elizabeth Jurrus, et al.. (2011). Detection of Neuron Membranes in Electron Microscopy Images Using Multi-scale Context and Radon-Like Features. Lecture notes in computer science. 14(Pt 1). 670–677. 24 indexed citations
9.
Jurrus, Elizabeth, António R. C. Paiva, Shigeki Watanabe, et al.. (2010). Detection of neuron membranes in electron microscopy images using a serial neural network architecture. Medical Image Analysis. 14(6). 770–783. 68 indexed citations
10.
Anderson, James R., Bryan W. Jones, Jiahui Yang, et al.. (2009). A Computational Framework for Ultrastructural Mapping of Neural Circuitry. PLoS Biology. 7(3). e1000074–e1000074. 113 indexed citations
11.
Anderson, James R., Bryan W. Jones, Jia Yang, et al.. (2009). Ultrastructural mapping of neural circuitry: A computational framework. 1135–1137. 4 indexed citations
12.
Jurrus, Elizabeth, António R. C. Paiva, Shigeki Watanabe, et al.. (2009). Serial Neural Network Classifier for Membrane Detection using a Filter Bank. 3 indexed citations
13.
Jurrus, Elizabeth, Melissa Hardy, Tolga Taşdizen, et al.. (2008). Axon tracking in serial block-face scanning electron microscopy. Medical Image Analysis. 13(1). 180–188. 82 indexed citations
14.
Jurrus, Elizabeth, Ross Whitaker, Bryan W. Jones, Robert E. Marc, & Tolga Taşdizen. (2008). An optimal-path approach for neural circuit reconstruction. PubMed. 2008(4541320). 1609–1612. 25 indexed citations
15.
Kenny, Joseph P., Steven J. Benson, Yuri Alexeev, et al.. (2004). Component‐based integration of chemistry and optimization software. Journal of Computational Chemistry. 25(14). 1717–1725. 26 indexed citations
16.
Kenny, Joseph P., Steven J. Benson, Yuri Alexeev, et al.. (2004). Component‐Based Integration of Chemistry and Optimization Software. ChemInform. 36(2). 1 indexed citations
17.
Jones, Donald R., et al.. (2004). Gigapixel-size real-time interactive image processing with parallel computers. 4665. 7–7. 7 indexed citations
18.
Fann, George I., et al.. (2003). Distributed Computing Approach for Remote Sensing Data. 8 indexed citations
19.
Fann, George I., et al.. (2002). Parallel computational environment for imaging science. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4790. 376–376. 3 indexed citations
20.
Wong, Pak Chung, et al.. (2000). Vector fields simplification — a case study of visualizing climate modeling and simulation data sets. IEEE Visualization. 485–488. 7 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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