Christopher Beckham

1.1k total citations
15 papers, 347 citations indexed

About

Christopher Beckham is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Paleontology. According to data from OpenAlex, Christopher Beckham has authored 15 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 1 paper in Paleontology. Recurrent topics in Christopher Beckham's work include Anomaly Detection Techniques and Applications (5 papers), Generative Adversarial Networks and Image Synthesis (4 papers) and Adversarial Robustness in Machine Learning (4 papers). Christopher Beckham is often cited by papers focused on Anomaly Detection Techniques and Applications (5 papers), Generative Adversarial Networks and Image Synthesis (4 papers) and Adversarial Robustness in Machine Learning (4 papers). Christopher Beckham collaborates with scholars based in Canada, United States and New Zealand. Christopher Beckham's co-authors include Alex Lamb, Yoshua Bengio, Ioannis Mitliagkas, Amir Najafi, Vikas Verma, David López-Paz, Eibe Frank, Felipe Bravo-Márquez, Mark Hall and Vikas Verma and has published in prestigious journals such as Pattern Recognition, Knowledge-Based Systems and Medical Image Analysis.

In The Last Decade

Christopher Beckham

14 papers receiving 334 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Christopher Beckham Canada	8	201	156	50	17	17	15	347
Haiwei Pan China	9	113 0.6×	114 0.7×	42 0.8×	27 1.6×	19 1.1×	76	317
Noelia Vállez Spain	12	189 0.9×	144 0.9×	61 1.2×	19 1.1×	9 0.5×	30	391
Ahmad Ali Pakistan	10	74 0.4×	193 1.2×	58 1.2×	22 1.3×	7 0.4×	31	319
Bong-Soo Sohn South Korea	10	87 0.4×	188 1.2×	33 0.7×	15 0.9×	19 1.1×	31	335
Maoying Qiao Australia	10	151 0.8×	120 0.8×	25 0.5×	7 0.4×	13 0.8×	20	280
Aditi Verma United States	9	65 0.3×	255 1.6×	30 0.6×	11 0.6×	8 0.5×	41	441
Musa Çıbuk Türkiye	8	141 0.7×	104 0.7×	127 2.5×	40 2.4×	15 0.9×	20	358
Damien Dablain United States	4	184 0.9×	45 0.3×	25 0.5×	24 1.4×	20 1.2×	4	337
Rebecca Roelofs United States	9	283 1.4×	223 1.4×	33 0.7×	12 0.7×	13 0.8×	15	460

Countries citing papers authored by Christopher Beckham

Since Specialization

Citations

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

Fields of papers citing papers by Christopher Beckham

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Beckham

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

All Works

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15 of 15 papers shown

Eerkens, Jelmer W., et al.. (2023). Long-Term Camelid Husbandry and Agricultural Intensification in the Southern Nasca Region, Peru: Insight from Faunal Isotopes. Latin American Antiquity. 35(3). 694–711.

Beckham, Christopher, et al.. (2022). Visual question answering from another perspective: CLEVR mental rotation tests. Pattern Recognition. 136. 109209–109209. 4 indexed citations

Vorontsov, Eugene, Pavlo Molchanov, Matej Gazda, et al.. (2022). Towards annotation-efficient segmentation via image-to-image translation. Medical Image Analysis. 82. 102624–102624. 10 indexed citations

Beckham, Christopher, Sina Honari, Alex Lamb, et al.. (2019). Adversarial Mixup Resynthesizers. PolyPublie (École Polytechnique de Montréal). 9 indexed citations

Beckham, Christopher, Sina Honari, Vikas Verma, et al.. (2019). On Adversarial Mixup Resynthesis. PolyPublie (École Polytechnique de Montréal). 32. 4346–4357. 5 indexed citations

Bravo-Márquez, Felipe, et al.. (2019). WekaDeeplearning4j: A deep learning package for Weka based on Deeplearning4j. Knowledge-Based Systems. 178. 48–50. 79 indexed citations

Beckham, Christopher, et al.. (2018). Unsupervised Depth Estimation, 3D Face Rotation and Replacement. PolyPublie (École Polytechnique de Montréal). 31. 9736–9746. 8 indexed citations

Verma, Vikas, Alex Lamb, Christopher Beckham, et al.. (2018). Manifold Mixup: Encouraging Meaningful On-Manifold Interpolation as a Regularizer.. arXiv (Cornell University). 19 indexed citations

Verma, Vikas, Alex Lamb, Christopher Beckham, et al.. (2018). Manifold Mixup: Better Representations by Interpolating Hidden States. arXiv (Cornell University). 6438–6447. 179 indexed citations

10.

Verma, Vikas, Alex Lamb, Christopher Beckham, et al.. (2018). Manifold Mixup: Learning Better Representations by Interpolating Hidden States. 11 indexed citations

11.

Kashinath, Karthik, Samira Ebrahimi Kahou, Tegan Maharaj, et al.. (2017). ClimateNet: A Machine Learning dataset for Climate Science Research. AGU Fall Meeting Abstracts. 2017. 1 indexed citations

12.

Racah, Evan, Christopher Beckham, Tegan Maharaj, Prabhat, & Christopher Pal. (2017). Semi-Supervised Detection of Extreme Weather Events in Large Climate Datasets. arXiv (Cornell University). 7 indexed citations

13.

Mudigonda, Mayur, Karthik Kashinath, Christopher Beckham, et al.. (2017). Deep Learning for Extreme Weather Detection. AGU Fall Meeting Abstracts. 2017. 3 indexed citations

14.

Beckham, Christopher. (2017). Techniques in Ordinal Classification and Image-to-Image Translation. PolyPublie (École Polytechnique de Montréal). 1 indexed citations

15.

Beckham, Christopher, Mark Hall, & Eibe Frank. (2016). WekaPyScript: Classification, Regression, and Filter Schemes for WEKA Implemented in Python. Journal of Open Research Software. 4(1). 33–33. 11 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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