Grant Van Horn

4.6k total citations · 3 hit papers
17 papers, 1.8k citations indexed

About

Grant Van Horn is a scholar working on Ecological Modeling, Molecular Biology and Developmental Biology. According to data from OpenAlex, Grant Van Horn has authored 17 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Ecological Modeling, 4 papers in Molecular Biology and 4 papers in Developmental Biology. Recurrent topics in Grant Van Horn's work include Species Distribution and Climate Change (6 papers), Identification and Quantification in Food (4 papers) and Animal Vocal Communication and Behavior (4 papers). Grant Van Horn is often cited by papers focused on Species Distribution and Climate Change (6 papers), Identification and Quantification in Food (4 papers) and Animal Vocal Communication and Behavior (4 papers). Grant Van Horn collaborates with scholars based in United States, Switzerland and Italy. Grant Van Horn's co-authors include Pietro Perona, Serge Belongie, Steve Branson, Hartwig Adam, Yang Song, Oisin Mac Aodha, Yin Cui, Chen Sun, Panagiotis G. Ipeirotis and Ryan Farrell and has published in prestigious journals such as Nature Communications, International Journal of Computer Vision and Methods in Ecology and Evolution.

In The Last Decade

Grant Van Horn

16 papers receiving 1.7k citations

Hit Papers

The iNaturalist Species Classification and Detection Dataset 2015 2026 2018 2022 2018 2022 2015 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. The iNaturalist Species Classification and Detection Dataset
    2018 770 citations Grant Van Horn, Oisin Mac Aodha et al. profile →
  2. Perspectives in machine learning for wildlife conservation
    2022 348 citations Devis Tuia, Benjamin Kellenberger et al. Nature Communications profile →
  3. 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

Grant Van Horn
Zhihai He United States
Oisin Mac Aodha United Kingdom
Tsung‐Yu Lin United States
Steve Branson United States
Hartwig Adam United States
Theodoros Damoulas United Kingdom
Tilo Burghardt United Kingdom
Greg Falzon Australia
Tianjiang Wang China
Stefan C. Kremer Canada
Zhihai He United States
Grant Van Horn
Citations per year, relative to Grant Van Horn Grant Van Horn (= 1×) peers Zhihai He

Countries citing papers authored by Grant Van Horn

Since Specialization
Citations

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

Fields of papers citing papers by Grant Van Horn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Grant Van Horn. 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 Grant Van Horn. The network helps show where Grant Van Horn may publish in the future.

Co-authorship network of co-authors of Grant Van Horn

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

All Works

17 of 17 papers shown
1.
Saha, Oindrila, Grant Van Horn, & Subhransu Maji. (2024). Improved Zero-Shot Classification by Adapting VLMs with Text Descriptions. 17542–17552. 10 indexed citations
2.
Maji, Subhransu, et al.. (2024). The iNaturalist Sounds Dataset. 132524–132544. 1 indexed citations
3.
Beery, Sara, Gabriel Brostow, Kate E. Jones, et al.. (2024). INQUIRE: A Natural World Text-to-Image Retrieval Benchmark. 126500–126514.
4.
Doren, Benjamin M. Van, et al.. (2023). Nighthawk : Acoustic monitoring of nocturnal bird migration in the Americas. Methods in Ecology and Evolution. 15(2). 329–344. 11 indexed citations
5.
Watts, Bryan D., et al.. (2023). Citizen science photographs indicate different timing and location use of migrating adult and juvenile Whimbrels. Ornithological applications. 125(2). 3 indexed citations
6.
Tuia, Devis, Benjamin Kellenberger, Sara Beery, et al.. (2022). Perspectives in machine learning for wildlife conservation. Nature Communications. 13(1). 792–792. 348 indexed citations breakdown →
7.
Robertson, Tim, Serge Belongie, Hartwig Adam, et al.. (2019). Training Machines to Identify Species using GBIF-mediated Datasets. Biodiversity Information Science and Standards. 3. 4 indexed citations
8.
Copas, Kyle, Tim Robertson, Serge Belongie, et al.. (2019). Training machines to improve species identification using GBIF-mediated datasets. 2019. 1 indexed citations
9.
Horn, Grant Van, Oisin Mac Aodha, Yang Song, et al.. (2018). The iNaturalist Species Classification and Detection Dataset. 8769–8778. 770 indexed citations breakdown →
10.
Horn, Grant Van, Steve Branson, Scott R. Loarie, Serge Belongie, & Pietro Perona. (2018). Lean Multiclass Crowdsourcing. 2714–2723. 8 indexed citations
11.
Horn, Grant Van, Oisin Mac Aodha, Yang Song, et al.. (2017). The iNaturalist Challenge 2017 Dataset. arXiv (Cornell University). 30 indexed citations
12.
Branson, Steve, Grant Van Horn, & Pietro Perona. (2017). Lean Crowdsourcing: Combining Humans and Machines in an Online System. 6109–6118. 26 indexed citations
13.
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 →
14.
Patterson, Geneviève, Grant Van Horn, Serge Belongie, Pietro Perona, & James Hays. (2015). Tropel: Crowdsourcing Detectors with Minimal Training. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing. 3. 150–159. 12 indexed citations
15.
Wah, Catherine, Grant Van Horn, Steve Branson, et al.. (2014). Similarity Comparisons for Interactive Fine-Grained Categorization. 859–866. 50 indexed citations
16.
Branson, Steve, Grant Van Horn, Catherine Wah, Pietro Perona, & Serge Belongie. (2014). The Ignorant Led by the Blind: A Hybrid Human–Machine Vision System for Fine-Grained Categorization. International Journal of Computer Vision. 43 indexed citations
17.
Branson, Steve, Grant Van Horn, Pietro Perona, & Serge Belongie. (2014). Improved Bird Species Recognition Using Pose Normalized Deep Convolutional Nets. CaltechAUTHORS (California Institute of Technology). 87.1–87.14. 130 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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