Ryan Farrell

3.5k total citations · 1 hit paper
36 papers, 1.4k citations indexed

About

Ryan Farrell is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Ryan Farrell has authored 36 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 5 papers in Molecular Biology. Recurrent topics in Ryan Farrell's work include Advanced Image and Video Retrieval Techniques (8 papers), Advanced Neural Network Applications (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Ryan Farrell is often cited by papers focused on Advanced Image and Video Retrieval Techniques (8 papers), Advanced Neural Network Applications (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Ryan Farrell collaborates with scholars based in United States, Netherlands and Sweden. Ryan Farrell's co-authors include Timothy A. Ryan, Ghazaleh Ashrafi, Trevor Darrell, Zhuhao Wu, Panagiotis G. Ipeirotis, Steve Branson, Grant Van Horn, Serge Belongie, Pietro Perona and Jaime de Juan‐Sanz and has published in prestigious journals such as Journal of Biological Chemistry, Neuron and The Journal of Experimental Medicine.

In The Last Decade

Ryan Farrell

30 papers receiving 1.3k citations

Hit Papers

Building a bird recognition app and large scale dataset w... 2015 2026 2018 2022 2015 100 200 300
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. Building a bird recognition app and large scale dataset with citizen scientists: The fine print in fine-grained dataset collection
    2015 311 citations Grant Van Horn, Steve Branson et al. profile →

Peers

Ryan Farrell
Siyuan Huang China
Jiaxiang Wu China
Takayuki Ito Japan
Joan Cabestany Spain
Chao Guo China
Ηλίας Σ. Μανωλάκος United States
Chao Xie China
Xiaowei Zhang China
Xin Xu China
Siyuan Huang China
Ryan Farrell
Citations per year, relative to Ryan Farrell Ryan Farrell (= 1×) peers Siyuan Huang

Countries citing papers authored by Ryan Farrell

Since Specialization
Citations

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

Fields of papers citing papers by Ryan Farrell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan Farrell

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan Farrell. A scholar is included among the top collaborators of Ryan Farrell 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 Farrell. Ryan Farrell 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.
Fridy, Peter C., Ryan Farrell, Kelly R. Molloy, et al.. (2024). A new generation of nanobody research tools using improved mass spectrometry-based discovery methods. Journal of Biological Chemistry. 300(9). 107623–107623. 6 indexed citations
2.
Farrell, Ryan, et al.. (2024). Elusive Images: Beyond Coarse Analysis for Fine-Grained Recognition. 3. 818–828. 1 indexed citations
3.
Farrell, Ryan, et al.. (2024). Predicting iatrogenic adrenal insufficiency in neonates exposed to prolonged steroid courses: do cortisol levels help?. Journal of Perinatology. 44(11). 1658–1662.
4.
5.
Chen, Jiakun, Tobias Stork, Franziska Auer, et al.. (2023). Astrocyte growth is driven by the Tre1/S1pr1 phospholipid-binding G protein-coupled receptor. Neuron. 112(1). 93–112.e10. 7 indexed citations
6.
Trief, Paula M., Diane Uschner, Marsha D. Marcus, et al.. (2022). Diabetes Distress in Young Adults With Youth-Onset Type 2 Diabetes: TODAY2 Study Results. Diabetes Care. 45(3). 529–537. 20 indexed citations
7.
Fischer, Victoria, Ryan Farrell, Jonathan Towne, et al.. (2022). The majority of ruptured aneurysms are small with low rupture risk scores. Journal of Clinical Neuroscience. 103. 148–152. 5 indexed citations
8.
Shah, Rachana, Steven D. Chernausek, Laure El ghormli, et al.. (2022). Maternal Diabetes in Youth-Onset Type 2 Diabetes Is Associated With Progressive Dysglycemia and Risk of Complications. The Journal of Clinical Endocrinology & Metabolism. 108(5). 1120–1131. 8 indexed citations
9.
Chen, Chun-Chin, Yinan Wang, Helen A. Beilinson, et al.. (2021). Sarco/endoplasmic reticulum Ca2+-ATPase (SERCA) activity is required for V(D)J recombination. The Journal of Experimental Medicine. 218(8). 16 indexed citations
10.
Anderson, Elizabeth, et al.. (2021). Have Fun Storming the Castle(s)!. 3702–3711.
11.
Anderson, Kristen G., et al.. (2020). ISMTE North America Virtual Event 2020. 13(9). 4–18.
12.
13.
Ashrafi, Ghazaleh, Jaime de Juan‐Sanz, Ryan Farrell, & Timothy A. Ryan. (2019). Molecular Tuning of the Axonal Mitochondrial Ca2+ Uniporter Ensures Metabolic Flexibility of Neurotransmission. Neuron. 105(4). 678–687.e5. 148 indexed citations
14.
Guo, Pei, et al.. (2018). Neural Network Interpretation via Fine Grained Textual Summarization.. arXiv (Cornell University). 4 indexed citations
15.
Guo, Pei & Ryan Farrell. (2018). Fine-grained Visual Categorization using PAIRS: Pose and Appearance Integration for Recognizing Subcategories.. arXiv (Cornell University). 4 indexed citations
16.
Ashrafi, Ghazaleh, Zhuhao Wu, Ryan Farrell, & Timothy A. Ryan. (2017). GLUT4 Mobilization Supports Energetic Demands of Active Synapses. Neuron. 93(3). 606–615.e3. 211 indexed citations
17.
Horn, Grant Van, Steve Branson, Ryan Farrell, et al.. (2015). Building a bird recognition app and large scale dataset with citizen scientists: The fine print in fine-grained dataset collection. 595–604. 311 indexed citations breakdown →
18.
Farrell, Ryan, et al.. (2008). Target localization in camera wireless networks. Pervasive and Mobile Computing. 5(2). 165–181. 5 indexed citations
19.
Farrell, Ryan, David Doermann, & Larry S. Davis. (2007). Learning Higher-order Transition Models in Medium-scale Camera Networks. 1–8. 12 indexed citations
20.
Klemmer, Scott, et al.. (2000). A Tangible Evolution: System Architecture and Participatory Design Studies of the Designers’ Outpost. UC Berkeley. 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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