Jeff Calder

818 total citations
41 papers, 374 citations indexed

About

Jeff Calder is a scholar working on Artificial Intelligence, Statistics and Probability and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jeff Calder has authored 41 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 11 papers in Statistics and Probability and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jeff Calder's work include Machine Learning and Algorithms (6 papers), Statistical Methods and Inference (6 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Jeff Calder is often cited by papers focused on Machine Learning and Algorithms (6 papers), Statistical Methods and Inference (6 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Jeff Calder collaborates with scholars based in United States, Canada and United Kingdom. Jeff Calder's co-authors include Nicolás García Trillos, A.-R. Mansouri, Anthony Yezzi, Alfred O. Hero, Rachid Deriche, Maxime Descoteaux, Selim Esedoḡlu, Adam M. Oberman, Dejan Slepčev and Charles K. Smart and has published in prestigious journals such as Journal of Computational Physics, IEEE Transactions on Wireless Communications and International Journal of Computer Vision.

In The Last Decade

Jeff Calder

35 papers receiving 333 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jeff Calder United States	13	106	90	87	63	61	41	374
Nicolas Papadakis France	5	65 0.6×	23 0.3×	34 0.4×	31 0.5×	30 0.5×	8	214
Aasa Feragen Denmark	14	161 1.5×	45 0.5×	147 1.7×	56 0.9×	19 0.3×	48	525
Kurt Jetter Germany	11	73 0.7×	58 0.6×	56 0.6×	224 3.6×	72 1.2×	34	442
Shai Dekel Israel	13	102 1.0×	23 0.3×	32 0.4×	133 2.1×	13 0.2×	36	382
Aurél Galántai Hungary	10	23 0.2×	214 2.4×	73 0.8×	71 1.1×	15 0.2×	39	476
Hartmut Führ Germany	14	233 2.2×	42 0.5×	28 0.3×	35 0.6×	9 0.1×	52	561
Arjuna Flenner United States	8	254 2.4×	74 0.8×	121 1.4×	54 0.9×	9 0.1×	20	448
Stefania Petra Germany	8	49 0.5×	40 0.4×	36 0.4×	102 1.6×	13 0.2×	26	186
Martin Welk Germany	11	319 3.0×	37 0.4×	30 0.3×	138 2.2×	9 0.1×	32	496
Shuyang Ling United States	11	83 0.8×	37 0.4×	47 0.5×	242 3.8×	21 0.3×	16	379

Countries citing papers authored by Jeff Calder

Since Specialization

Citations

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

Fields of papers citing papers by Jeff Calder

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeff Calder

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

All Works

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20 of 20 papers shown

Lu, Jincheng, et al.. (2025). Continuous data assimilation for hydrodynamics: Consistent discretization and application to moment recovery. Journal of Computational Physics. 538. 114199–114199. 1 indexed citations

Calder, Jeff, et al.. (2025). Predictive Display for Teleoperation Based on Vector Fields Using Lidar-Camera Fusion. International Journal of Computer Vision. 133(12). 8315–8331.

Calder, Jeff & Wonjun Lee. (2024). Monotone discretizations of levelset convex geometric PDEs. Numerische Mathematik. 156(6). 1987–2029.

Sadeghi, Alireza, et al.. (2024). Bayesian Active Learning for Sample Efficient 5G Radio Map Reconstruction. IEEE Transactions on Wireless Communications. 23(12). 19382–19396.

Li, Jiafeng, et al.. (2024). Using machine learning on new feature sets extracted from three-dimensional models of broken animal bones to classify fragments according to break agent. Journal of Human Evolution. 187. 103495–103495. 2 indexed citations

Calder, Jeff, et al.. (2024). Ratio convergence rates for Euclidean first-passage percolation: Applications to the graph infinity Laplacian. The Annals of Applied Probability. 34(4).

Calder, Jeff, et al.. (2023). Deep semi-supervised label propagation for SAR image classification. 20–20. 2 indexed citations

Brown, Jason I., et al.. (2023). Utilizing contrastive learning for graph-based active learning of SAR data. 22–22. 2 indexed citations

Calder, Jeff, Dejan Slepčev, & Matthew Thorpe. (2023). Rates of convergence for Laplacian semi-supervised learning with low labeling rates. Research in the Mathematical Sciences. 10(1). 7 indexed citations

10.

Calder, Jeff, Nicolás García Trillos, & Marta Lewicka. (2022). Lipschitz Regularity of Graph Laplacians on Random Data Clouds. SIAM Journal on Mathematical Analysis. 54(1). 1169–1222. 10 indexed citations

11.

Calder, Jeff, et al.. (2022). Uniform convergence rates for Lipschitz learning on graphs. IMA Journal of Numerical Analysis. 43(4). 2445–2495. 7 indexed citations

12.

Calder, Jeff, et al.. (2019). Accelerated Variational PDEs for Efficient Solution of Regularized Inversion Problems. Journal of Mathematical Imaging and Vision. 62(1). 10–36. 9 indexed citations

13.

Calder, Jeff. (2018). The game theoretic p -Laplacian and semi-supervised learning with few labels. Nonlinearity. 32(1). 301–330. 27 indexed citations

14.

Oberman, Adam M. & Jeff Calder. (2018). Lipschitz regularized Deep Neural Networks converge and generalize. arXiv (Cornell University). 13 indexed citations

15.

Calder, Jeff, et al.. (2018). Robust variational segmentation of 3D bone CT data with thin cartilage interfaces. Medical Image Analysis. 47. 95–110. 16 indexed citations

16.

Hsiao, Ko-Jen, Kevin S. Xu, Jeff Calder, & Alfred O. Hero. (2015). Multicriteria Similarity-Based Anomaly Detection Using Pareto Depth Analysis. IEEE Transactions on Neural Networks and Learning Systems. 27(6). 1307–1321. 12 indexed citations

17.

Deriche, Rachid, Jeff Calder, & Maxime Descoteaux. (2009). Optimal real-time Q-ball imaging using regularized Kalman filtering with incremental orientation sets. Medical Image Analysis. 13(4). 564–579. 30 indexed citations

18.

Calder, Jeff, et al.. (1973). Centers of Infinite Bounded Sets in a Normed Space. Canadian Journal of Mathematics. 25(5). 986–999. 12 indexed citations

19.

Calder, Jeff, et al.. (1970). A Collection of Sequence Spaces. Transactions of the American Mathematical Society. 152(1). 107–107. 1 indexed citations

20.

Calder, Jeff, et al.. (1970). A collection of sequence spaces. Transactions of the American Mathematical Society. 152(1). 107–118. 8 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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