Ryan Farrell

3.6k citations
40 papers · 1.7k · 1 hit paper · h-index 14

Impact in

Papers in

Ryan Farrell

32 papers receiving 1.7k citations

Ryan Farrell's Hit Papers

Building a bird recognition app and large scale dataset with citizen scientists: The fine print in fine-grained dataset collection 2015 · 374 citations
3740+3+7Years since publication100200300

Peers

Ryan Farrell
Comparison fields: 5 of 143
  • Computer Vision and Pattern Recognition 929
  • Human-Computer Interaction 181
  • Developmental Biology 47
  • Artificial Intelligence 512
  • Cellular and Molecular Neuroscience 175
Replace Takayuki Ito with:
Takayuki Ito Japan
Bryan Seybold United States
Simone Palazzo Italy
Ming Sun United States
Estíbaliz Garrote Spain
Simon Kornblith United States
Sachin S. Talathi United States
Su Zhang China
Danillo Roberto Pereira Brazil
Andrew Philippides United Kingdom
Ryan Farrell relative to Takayuki Ito Japan Takayuki Ito's profile →
Citations per field
00.5×4.7×
Takayuki Ito · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Ryan Farrell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ryan Farrell Line = papers co-authored together Ryan Farrell links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Building a bird recognition app and large scale dataset with citizen scientists: The fine print in fine-grained dataset collection
Hit paper breakdown →
2015374
2 2017219
3 2001177
4 2018167
5 2013162
6 2019156
7 2011154
8 201294
9 201447
10 201925
11 202222
12 200818
13 202117
14 200713
15 200711
16 202310
17 201910
18 201610
19 197610
20 20228

About Ryan Farrell

Ryan Farrell is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Molecular Biology, Aerospace Engineering and Human-Computer Interaction, having authored 40 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (8 papers), Advanced Neural Network Applications (6 papers), Domain Adaptation and Few-Shot Learning (5 papers), Innovative Human-Technology Interaction (4 papers), Usability and User Interface Design (4 papers), Robotics and Sensor-Based Localization (4 papers), Multimodal Machine Learning Applications (3 papers) and Interactive and Immersive Displays (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (929 citations), Human-Computer Interaction (181 citations), Developmental Biology (47 citations), Artificial Intelligence (512 citations) and Cellular and Molecular Neuroscience (175 citations). Ryan Farrell has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Timothy A. Ryan, Ghazaleh Ashrafi, Trevor Darrell, Zhuhao Wu, Pietro Perona, Grant Van Horn, Serge Belongie, Steve Branson, Pei Guo and Forrest Iandola. Their work appears in journals such as Neuron, Pervasive and Mobile Computing, Journal of Perinatology, Journal of Heat Transfer and The Journal of Experimental Medicine.

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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