Oscar Beijbom

3.9k total citations
21 papers, 1.4k citations indexed

About

Oscar Beijbom is a scholar working on Ecology, Oceanography and Global and Planetary Change. According to data from OpenAlex, Oscar Beijbom has authored 21 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Ecology, 7 papers in Oceanography and 7 papers in Global and Planetary Change. Recurrent topics in Oscar Beijbom's work include Coral and Marine Ecosystems Studies (13 papers), Marine and fisheries research (7 papers) and Ichthyology and Marine Biology (5 papers). Oscar Beijbom is often cited by papers focused on Coral and Marine Ecosystems Studies (13 papers), Marine and fisheries research (7 papers) and Ichthyology and Marine Biology (5 papers). Oscar Beijbom collaborates with scholars based in United States, Australia and Israel. Oscar Beijbom's co-authors include David Kriegman, David I. Kline, B. Greg Mitchell, Peter J. Edmunds, Eric C. Orenstein, Benjamin P. Neal, Tali Treibitz, Stephen Chan, Chris Roelfsema and Abhinav Valada and has published in prestigious journals such as PLoS ONE, Scientific Reports and Remote Sensing.

In The Last Decade

Oscar Beijbom

21 papers receiving 1.3k citations

Peers

Oscar Beijbom
Ariell Friedman Australia
Mitch Bryson Australia
Kurt Schwehr United States
Kirsty J. Morris United Kingdom
Eric Lehmann Australia
Sai Ravela United States
Ariell Friedman Australia
Oscar Beijbom
Citations per year, relative to Oscar Beijbom Oscar Beijbom (= 1×) peers Ariell Friedman

Countries citing papers authored by Oscar Beijbom

Since Specialization
Citations

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

Fields of papers citing papers by Oscar Beijbom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oscar Beijbom

This figure shows the co-authorship network connecting the top 25 collaborators of Oscar Beijbom. A scholar is included among the top collaborators of Oscar Beijbom 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 Oscar Beijbom. Oscar Beijbom 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.
Mohan, Rohit, et al.. (2022). Panoptic Nuscenes: A Large-Scale Benchmark for LiDAR Panoptic Segmentation and Tracking. IEEE Robotics and Automation Letters. 7(2). 3795–3802. 123 indexed citations
2.
Chen, Qi, Sourabh Vora, & Oscar Beijbom. (2021). PolarStream: Streaming Object Detection and Segmentation with Polar Pillars. Neural Information Processing Systems. 34. 16 indexed citations
3.
Chen, Qimin, Oscar Beijbom, Stephen Chan, Jessica Bouwmeester, & David Kriegman. (2021). A New Deep Learning Engine for CoralNet. 3686–3695. 42 indexed citations
4.
Mehdipour, Noushin, et al.. (2021). The Reasonable Crowd: Towards evidence-based and interpretable models of driving behavior. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 6708–6715. 13 indexed citations
5.
Rodriguez‐Ramirez, Alberto, Manuel González‐Rivero, Oscar Beijbom, et al.. (2020). A contemporary baseline record of the world’s coral reefs. Scientific Data. 7(1). 355–355. 14 indexed citations
6.
Richards, Benjamin, Oscar Beijbom, Matthew D. Campbell, et al.. (2019). Automated Analysis of Underwater Imagery: Accomplishments, Products, and Vision. National Oceanic and Atmospheric Administration (NOAA) - NOAA Central Library. 7 indexed citations
7.
Williams, Ivor D., Courtney S. Couch, Oscar Beijbom, et al.. (2019). Leveraging Automated Image Analysis Tools to Transform Our Capacity to Assess Status and Trends of Coral Reefs. Frontiers in Marine Science. 6. 82 indexed citations
8.
Neal, Benjamin P., Tali Treibitz, Oscar Beijbom, et al.. (2017). Caribbean massive corals not recovering from repeated thermal stress events during 2005–2013. Ecology and Evolution. 7(5). 1339–1353. 43 indexed citations
9.
Orenstein, Eric C. & Oscar Beijbom. (2017). Transfer Learning and Deep Feature Extraction for Planktonic Image Data Sets. 1082–1088. 88 indexed citations
10.
González‐Rivero, Manuel, Oscar Beijbom, Alberto Rodriguez‐Ramirez, et al.. (2016). Scaling up Ecological Measurements of Coral Reefs Using Semi-Automated Field Image Collection and Analysis. Remote Sensing. 8(1). 30–30. 52 indexed citations
11.
Beijbom, Oscar, Tali Treibitz, David I. Kline, et al.. (2016). Improving Automated Annotation of Benthic Survey Images Using Wide-band Fluorescence. Scientific Reports. 6(1). 23166–23166. 48 indexed citations
12.
Beijbom, Oscar, et al.. (2015). Menu-Match: Restaurant-Specific Food Logging from Images. 844–851. 84 indexed citations
13.
Beijbom, Oscar, Peter J. Edmunds, Chris Roelfsema, et al.. (2015). Towards Automated Annotation of Benthic Survey Images: Variability of Human Experts and Operational Modes of Automation. PLoS ONE. 10(7). e0130312–e0130312. 260 indexed citations
14.
Neal, Benjamin P., Tsung-Han Lin, Tali Treibitz, et al.. (2015). Methods and measurement variance for field estimations of coral colony planar area using underwater photographs and semi-automated image segmentation. Environmental Monitoring and Assessment. 187(8). 496–496. 12 indexed citations
15.
Treibitz, Tali, Benjamin P. Neal, David I. Kline, et al.. (2015). Wide Field-of-View Fluorescence Imaging of Coral Reefs. Scientific Reports. 5(1). 7694–7694. 36 indexed citations
16.
Beijbom, Oscar, Mohammad Saberian, David Kriegman, & Nuno Vasconcelos. (2014). Guess-Averse Loss Functions For Cost-Sensitive Multiclass Boosting. International Conference on Machine Learning. 30(7). 586–594. 12 indexed citations
17.
González‐Rivero, Manuel, Pim Bongaerts, Oscar Beijbom, et al.. (2014). The Catlin Seaview Survey – kilometre‐scale seascape assessment, and monitoring of coral reef ecosystems. Aquatic Conservation Marine and Freshwater Ecosystems. 24(S2). 184–198. 59 indexed citations
18.
Treibitz, Tali, Benjamin P. Neal, David I. Kline, et al.. (2013). Wide field-of-view daytime fluorescence imaging of coral reefs. 2013 OCEANS - San Diego. 1–5. 2 indexed citations
19.
Branson, Steve, Oscar Beijbom, & Serge Belongie. (2013). Efficient Large-Scale Structured Learning. 1806–1813. 32 indexed citations
20.
Beijbom, Oscar, Peter J. Edmunds, David I. Kline, B. Greg Mitchell, & David Kriegman. (2012). Automated annotation of coral reef survey images. 1170–1177. 217 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026