Kathy Olson

670 total citations
7 papers, 503 citations indexed

About

Kathy Olson is a scholar working on Cellular and Molecular Neuroscience, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Kathy Olson has authored 7 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cellular and Molecular Neuroscience, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Cognitive Neuroscience. Recurrent topics in Kathy Olson's work include Neuroscience and Neuropharmacology Research (4 papers), Medical Image Segmentation Techniques (3 papers) and Cell Image Analysis Techniques (3 papers). Kathy Olson is often cited by papers focused on Neuroscience and Neuropharmacology Research (4 papers), Medical Image Segmentation Techniques (3 papers) and Cell Image Analysis Techniques (3 papers). Kathy Olson collaborates with scholars based in United States and Canada. Kathy Olson's co-authors include Carol A. Barnes, John F. Guzowski, Badrinath Roysam, Gang Lin, Monica K. Chawla, Umesh Adiga, Bruce L. McNaughton, Vicki Sutherland, Christopher S. Bjornsson and William Shain and has published in prestigious journals such as Cerebral Cortex, Neurobiology of Aging and Hippocampus.

In The Last Decade

Kathy Olson

7 papers receiving 489 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kathy Olson United States 7 285 182 144 112 78 7 503
Cheng Yan China 7 435 1.5× 72 0.4× 159 1.1× 63 0.6× 92 1.2× 20 680
Zhi Zhou United States 12 218 0.8× 289 1.6× 106 0.7× 32 0.3× 43 0.6× 33 736
Christopher S. Bjornsson United States 7 112 0.4× 51 0.3× 234 1.6× 44 0.4× 136 1.7× 9 533
Henrik Skibbe Japan 11 69 0.2× 181 1.0× 68 0.5× 24 0.2× 60 0.8× 38 484
Zhen Qiu China 11 109 0.4× 57 0.3× 201 1.4× 33 0.3× 201 2.6× 39 658
Jiyun Byun United States 10 95 0.3× 119 0.7× 234 1.6× 112 1.0× 110 1.4× 14 735
Maryam Halavi United States 4 353 1.2× 41 0.2× 170 1.2× 26 0.2× 189 2.4× 5 596
Arlo Sheridan United States 8 86 0.3× 49 0.3× 138 1.0× 34 0.3× 112 1.4× 9 436
Daniel Schmitter Switzerland 10 55 0.2× 89 0.5× 131 0.9× 37 0.3× 26 0.3× 23 539
Sridevi Polavaram United States 6 240 0.8× 34 0.2× 144 1.0× 22 0.2× 95 1.2× 9 398

Countries citing papers authored by Kathy Olson

Since Specialization
Citations

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

Fields of papers citing papers by Kathy Olson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kathy Olson

This figure shows the co-authorship network connecting the top 25 collaborators of Kathy Olson. A scholar is included among the top collaborators of Kathy Olson 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 Kathy Olson. Kathy Olson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Chawla, Monica K., Vicki Sutherland, Kathy Olson, Bruce L. McNaughton, & Carol A. Barnes. (2017). Behavior‐drivenarcexpression is reduced in all ventral hippocampal subfields compared to CA1, CA3, and dentate gyrus in rat dorsal hippocampus. Hippocampus. 28(2). 178–185. 38 indexed citations
2.
Chawla, Monica K., Marsha R. Penner, Kathy Olson, et al.. (2012). Spatial behavior and seizure-induced changes in c-fos mRNA expression in young and old rats. Neurobiology of Aging. 34(4). 1184–1198. 24 indexed citations
3.
Takehara‐Nishiuchi, Kaori, Nathan Insel, Linh Hoang, et al.. (2012). Activation Patterns in Superficial Layers of Neocortex Change Between Experiences Independent of Behavior, Environment, or the Hippocampus. Cerebral Cortex. 23(9). 2225–2234. 6 indexed citations
4.
Lin, Gang, Monica K. Chawla, Kathy Olson, et al.. (2007). A multi‐model approach to simultaneous segmentation and classification of heterogeneous populations of cell nuclei in 3D confocal microscope images. Cytometry Part A. 71A(9). 724–736. 78 indexed citations
5.
Lin, Gang, Monica K. Chawla, Kathy Olson, et al.. (2004). Hierarchical, model‐based merging of multiple fragments for improved three‐dimensional segmentation of nuclei. Cytometry Part A. 63A(1). 20–33. 78 indexed citations
6.
Chawla, Monica K., Gang Lin, Kathy Olson, et al.. (2004). 3D-catFISH: a system for automated quantitative three-dimensional compartmental analysis of temporal gene transcription activity imaged by fluorescence in situ hybridization. Journal of Neuroscience Methods. 139(1). 13–24. 45 indexed citations
7.
Lin, Gang, Umesh Adiga, Kathy Olson, et al.. (2003). A hybrid 3D watershed algorithm incorporating gradient cues and object models for automatic segmentation of nuclei in confocal image stacks. Cytometry Part A. 56A(1). 23–36. 234 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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