Ryan Kennedy

6.4k total citations · 1 hit paper
34 papers, 1.5k citations indexed

About

Ryan Kennedy is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Biophysics. According to data from OpenAlex, Ryan Kennedy has authored 34 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Computer Vision and Pattern Recognition and 6 papers in Biophysics. Recurrent topics in Ryan Kennedy's work include Advanced Vision and Imaging (6 papers), Multiple Myeloma Research and Treatments (5 papers) and Cell Image Analysis Techniques (5 papers). Ryan Kennedy is often cited by papers focused on Advanced Vision and Imaging (6 papers), Multiple Myeloma Research and Treatments (5 papers) and Cell Image Analysis Techniques (5 papers). Ryan Kennedy collaborates with scholars based in United States, Australia and Austria. Ryan Kennedy's co-authors include Alex Kendall, Abraham Bachrach, Adam Bry, Peter Henry, Gregory R. Madey, Juan Nunez-Iglesias, Jianbo Shi, Masahiro Ono, Jérémie Papon and Brandon Rothrock and has published in prestigious journals such as Blood, PLoS ONE and BMC Bioinformatics.

In The Last Decade

Ryan Kennedy

33 papers receiving 1.5k citations

Hit Papers

End-to-End Learning of Geometry and Context for Deep Ster... 2017 2026 2020 2023 2017 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. End-to-End Learning of Geometry and Context for Deep Stereo Regression
    2017 870 citations Alex Kendall, Peter Henry et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryan Kennedy United States 13 972 275 266 166 93 34 1.5k
Qian Yu China 24 628 0.6× 219 0.8× 380 1.4× 289 1.7× 24 0.3× 131 2.5k
Dong‐Ming Yan China 27 1.2k 1.3× 271 1.0× 93 0.3× 63 0.4× 4 0.0× 165 2.8k
J.-M. Chassery France 13 908 0.9× 53 0.2× 165 0.6× 105 0.6× 6 0.1× 38 1.3k
Jagath Samarabandu Canada 23 558 0.6× 162 0.6× 103 0.4× 473 2.8× 12 0.1× 114 2.2k
Jimmy Ren China 24 2.5k 2.6× 106 0.4× 921 3.5× 26 0.2× 18 0.2× 56 3.0k
Yandong Tang China 23 1.5k 1.5× 148 0.5× 399 1.5× 62 0.4× 6 0.1× 151 2.1k
Xiao Yang China 17 299 0.3× 68 0.2× 82 0.3× 264 1.6× 8 0.1× 125 1.4k
Lixiong Liu China 19 1.2k 1.2× 52 0.2× 705 2.7× 109 0.7× 18 0.2× 76 1.7k
Andrea Boni Italy 24 176 0.2× 70 0.3× 65 0.2× 238 1.4× 26 0.3× 161 2.3k
Joan Serrat Spain 20 929 1.0× 176 0.6× 168 0.6× 543 3.3× 13 0.1× 71 1.8k

Countries citing papers authored by Ryan Kennedy

Since Specialization
Citations

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

Fields of papers citing papers by Ryan Kennedy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan Kennedy

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan Kennedy. A scholar is included among the top collaborators of Ryan Kennedy 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 Ryan Kennedy. Ryan Kennedy 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
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2.
Smith, Andrew, Glen E. P. Ropella, Mitchell R. McGill, et al.. (2020). Contrasting model mechanisms of alanine aminotransferase (ALT) release from damaged and necrotic hepatocytes as an example of general biomarker mechanisms. PLoS Computational Biology. 16(6). e1007622–e1007622. 19 indexed citations
3.
Kennedy, Ryan, Meir Marmor, Ralph Marcucio, & C. Anthony Hunt. (2018). Simulation enabled search for explanatory mechanisms of the fracture healing process. PLoS Computational Biology. 14(2). e1005980–e1005980. 2 indexed citations
4.
Kendall, Alex, et al.. (2017). End-to-End Learning of Geometry and Context for Deep Stereo Regression. 66–75. 870 indexed citations breakdown →
5.
Smith, Andrew, Brenden K. Petersen, Glen E. P. Ropella, et al.. (2016). Competing Mechanistic Hypotheses of Acetaminophen-Induced Hepatotoxicity Challenged by Virtual Experiments. PLoS Computational Biology. 12(12). e1005253–e1005253. 18 indexed citations
6.
Kennedy, Ryan, Glen E. P. Ropella, & C. Anthony Hunt. (2016). A cell-centered, agent-based framework that enables flexible environment granularities. Theoretical Biology and Medical Modelling. 13(1). 4–4. 6 indexed citations
7.
Kennedy, Ryan, Roland Brockers, & Stephan Weiß. (2016). Fail-safe visual-inertial navigation for UAVs. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9836. 98361U–98361U. 1 indexed citations
8.
Kennedy, Ryan, Laura Balzano, Stephen J. Wright, & Camillo J. Taylor. (2016). Online algorithms for factorization-based structure from motion. Computer Vision and Image Understanding. 150. 139–152. 11 indexed citations
9.
Kennedy, Ryan & Camillo J. Taylor. (2015). Hierarchically-constrained optical flow. 34. 3340–3348. 4 indexed citations
10.
Nunez-Iglesias, Juan, et al.. (2014). Graph-based active learning of agglomeration (GALA): a Python library to segment 2D and 3D neuroimages. Frontiers in Neuroinformatics. 8. 34–34. 29 indexed citations
11.
Kennedy, Ryan & Camillo J. Taylor. (2014). Network localization from relative bearing measurements. 38. 149–156. 5 indexed citations
12.
Kennedy, Ryan, Laura Balzano, Stephen J. Wright, & Camillo J. Taylor. (2014). Online algorithms for factorization-based structure from motion. 37–44. 5 indexed citations
13.
Nunez-Iglesias, Juan, Ryan Kennedy, Toufiq Parag, Jianbo Shi, & Dmitri B. Chklovskii. (2013). Machine Learning of Hierarchical Clustering to Segment 2D and 3D Images. PLoS ONE. 8(8). e71715–e71715. 98 indexed citations
14.
Hunt, C. Anthony, et al.. (2013). Agent‐based modeling: a systematic assessment of use cases and requirements for enhancing pharmaceutical research and development productivity. WIREs Systems Biology and Medicine. 5(4). 461–480. 23 indexed citations
15.
Lane-deGraaf, K. E., et al.. (2013). A test of agent-based models as a tool for predicting patterns of pathogen transmission in complex landscapes. BMC Ecology. 13(1). 35–35. 18 indexed citations
16.
Kennedy, Ryan, Kostas Daniilidis, Oleg Naroditsky, & Camillo J. Taylor. (2012). Identifying maximal rigid components in bearing-based localization. 12. 194–201. 12 indexed citations
17.
Kennedy, Ryan, Maria Unger, Scott Christley, Frank H. Collins, & Gregory R. Madey. (2011). An automated homology-based approach for identifying transposable elements. BMC Bioinformatics. 12(1). 130–130. 28 indexed citations
18.
19.
Arifin, S. M. Niaz, et al.. (2010). P-SAM: a post-simulation analysis module for agent-based models. Summer Computer Simulation Conference. 350–357. 3 indexed citations
20.
Kennedy, Ryan, et al.. (2009). Spatially aware agents: an effective and efficient use of GIS data within an agent-based model. Spring Simulation Multiconference. 12. 2 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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