Grant Van Horn
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 2%
- Ecology top 5%
- Ecological Modeling top 2%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Pietro PeronaSerge BelongieSteve BransonHartwig AdamYang SongOisin Mac AodhaYin CuiChen Sun
- Topics
- Species Distribution and Climate Change (6 papers)Identification and Quantification in Food (4 papers)Animal Vocal Communication and Behavior (4 papers)
- Journals
- Nature CommunicationsInternational Journal of Computer VisionMethods in Ecology and Evolution
- Partner nations
- United StatesSwitzerlandItaly
In The Last Decade
Grant Van Horn
16 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Computer Vision and Pattern Recognition 855
- Artificial Intelligence 778
- Ecology 284
- Ecological Modeling 249
- Radiology, Nuclear Medicine and Imaging 108
Countries citing papers authored by Grant Van Horn
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 11 | |
| 5 | 3 | |
| 6 | Perspectives in machine learning for wildlife conservationbreakdown → | 348 |
| 7 | 4 | |
| 8 | Training machines to improve species identification using GBIF-mediated datasets | 1 |
| 9 | The iNaturalist Species Classification and Detection Datasetbreakdown → | 770 |
| 10 | 8 | |
| 11 | The iNaturalist Challenge 2017 Dataset | 30 |
| 12 | 26 | |
| 13 | Building a bird recognition app and large scale dataset with citizen scientists: The fine print in fine-grained dataset collectionbreakdown → | 311 |
| 14 | 12 | |
| 15 | 50 | |
| 16 | 43 | |
| 17 | 130 |
About Grant Van Horn
Grant Van Horn is a scholar working on Developmental Biology, Ecological Modeling and Computer Science Applications, having authored 17 papers that have together received 1.8k indexed citations. Recurring topics across this work include Species Distribution and Climate Change (6 papers), Identification and Quantification in Food (4 papers) and Animal Vocal Communication and Behavior (4 papers). The work is most often cited by research in Ecological Modeling (249 citations), Computer Vision and Pattern Recognition (855 citations) and Developmental Biology (90 citations). Grant Van Horn has collaborated with scholars based in United States, Switzerland and Italy. Frequent 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. Their work appears in journals such as Nature Communications, International Journal of Computer Vision and Methods in Ecology and Evolution.
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.