Benjamin D. Haeffele

824 total citations
22 papers, 327 citations indexed

About

Benjamin D. Haeffele is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Media Technology. According to data from OpenAlex, Benjamin D. Haeffele has authored 22 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 8 papers in Computational Mechanics and 6 papers in Media Technology. Recurrent topics in Benjamin D. Haeffele's work include Sparse and Compressive Sensing Techniques (7 papers), Digital Holography and Microscopy (5 papers) and Neural dynamics and brain function (4 papers). Benjamin D. Haeffele is often cited by papers focused on Sparse and Compressive Sensing Techniques (7 papers), Digital Holography and Microscopy (5 papers) and Neural dynamics and brain function (4 papers). Benjamin D. Haeffele collaborates with scholars based in United States, Belgium and Italy. Benjamin D. Haeffele's co-authors include Renè Vidal, Eric D. Young, John B. Issa, David T. Yue, Dwight E. Bergles, Amit Agarwal, Robert J. Butera, Connor Lane, Chong You and Manolis C. Tsakiris and has published in prestigious journals such as Neuron, IEEE Transactions on Signal Processing and Optics Express.

In The Last Decade

Benjamin D. Haeffele

20 papers receiving 321 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Benjamin D. Haeffele United States	7	149	105	61	52	40	22	327
Chang Cai China	14	308 2.1×	32 0.3×	34 0.6×	20 0.4×	21 0.5×	37	455
Chang’an A. Zhan China	13	207 1.4×	59 0.6×	56 0.9×	29 0.6×	11 0.3×	30	359
Vangelis P. Oikonomou Greece	12	313 2.1×	64 0.6×	41 0.7×	16 0.3×	11 0.3×	42	411
Shihab Shamma United States	8	275 1.8×	57 0.5×	37 0.6×	12 0.2×	48 1.2×	12	363
Yingyue Xu United States	8	55 0.4×	69 0.7×	7 0.1×	94 1.8×	46 1.1×	17	237
Wolf Kienzle United States	12	263 1.8×	34 0.3×	58 1.0×	377 7.3×	24 0.6×	18	693
Shreya Saxena United States	10	260 1.7×	114 1.1×	60 1.0×	19 0.4×	6 0.1×	25	368
Jaakko Särelä Finland	6	524 3.5×	48 0.5×	117 1.9×	59 1.1×	6 0.1×	10	766
Guangshu Hu China	13	224 1.5×	59 0.6×	38 0.6×	141 2.7×	26 0.7×	59	664
Toru Aonishi Japan	12	201 1.3×	118 1.1×	129 2.1×	30 0.6×	4 0.1×	52	436

Countries citing papers authored by Benjamin D. Haeffele

Since Specialization

Citations

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

Fields of papers citing papers by Benjamin D. Haeffele

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin D. Haeffele. 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 Benjamin D. Haeffele. The network helps show where Benjamin D. Haeffele may publish in the future.

Co-authorship network of co-authors of Benjamin D. Haeffele

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin D. Haeffele. A scholar is included among the top collaborators of Benjamin D. Haeffele 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 Benjamin D. Haeffele. Benjamin D. Haeffele 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

Harley, Joel B., et al.. (2024). Wave Physics-Informed Matrix Factorizations. IEEE Transactions on Signal Processing. 72. 535–548. 4 indexed citations

Haeffele, Benjamin D., et al.. (2023). White-Box Transformers via Sparse Rate Reduction. 9422–9457.

Ma, Yi, et al.. (2023). Unsupervised Manifold Linearizing and Clustering. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 5427–5438. 2 indexed citations

Baek, Christina, et al.. (2022). Efficient Maximal Coding Rate Reduction by Variational Forms. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 490–498. 3 indexed citations

Ray, Stuart C., et al.. (2022). Towards real-time urinalysis with holographic lens-free imaging. 71. 43–43.

Durr, Nicholas J., et al.. (2022). Adaptive sparse reconstruction for lensless digital holography via PSF estimation and phase retrieval. Optics Express. 30(19). 33433–33433. 2 indexed citations

Haeffele, Benjamin D., et al.. (2021). Quantifying Task Complexity Through Generalized Information Measures. 6 indexed citations

Haeffele, Benjamin D., et al.. (2021). Understanding the Dynamics of Gradient Flow in Overparameterized Linear models. 10153–10161. 4 indexed citations

Haeffele, Benjamin D., et al.. (2020). Generative optical modeling of whole blood for detecting platelets in lens-free images. Biomedical Optics Express. 11(4). 1808–1808. 5 indexed citations

10.

Lane, Connor, et al.. (2019). Classifying and Comparing Approaches to Subspace Clustering with Missing Data. 669–677. 9 indexed citations

11.

Lane, Connor, Benjamin D. Haeffele, & Renè Vidal. (2019). Adaptive Online k-Subspaces with Cooperative Re-Initialization. 678–688. 2 indexed citations

12.

Haeffele, Benjamin D., et al.. (2018). Separable Dictionary Learning with Global Optimality and Applications to Diffusion MRI.. arXiv (Cornell University). 2 indexed citations

13.

Haeffele, Benjamin D., et al.. (2018). Multi-cell Detection and Classification Using a Generative Convolutional Model. 8953–8961. 3 indexed citations

14.

Cavazza, Jacopo, Pietro Morerio, Benjamin D. Haeffele, et al.. (2017). Dropout as a Low-Rank Regularizer for Matrix Factorization.. International Conference on Artificial Intelligence and Statistics. 435–444. 3 indexed citations

15.

Haeffele, Benjamin D., et al.. (2017). Blood cell detection and counting in holographic lens-free imaging by convolutional sparse dictionary learning and coding. 650–653. 10 indexed citations

16.

Haeffele, Benjamin D., et al.. (2017). Removal of the twin image artifact in holographic lens-free imaging by sparse dictionary learning and coding. 32. 741–744. 2 indexed citations

17.

Issa, John B., Benjamin D. Haeffele, Eric D. Young, & David T. Yue. (2016). Multiscale mapping of frequency sweep rate in mouse auditory cortex. Hearing Research. 344. 207–222. 22 indexed citations

18.

Issa, John B., Benjamin D. Haeffele, Amit Agarwal, et al.. (2014). Multiscale Optical Ca2+ Imaging of Tonal Organization in Mouse Auditory Cortex. Neuron. 83(4). 944–959. 131 indexed citations

19.

Haeffele, Benjamin D., Eric D. Young, & Renè Vidal. (2014). Structured Low-Rank Matrix Factorization: Optimality, Algorithm, and Applications to Image Processing. 2007–2015. 41 indexed citations

20.

Haeffele, Benjamin D. & Robert J. Butera. (2007). Modifying the Hodgkin-Huxley Model for High Frequency AC Stimulation. 550–552. 6 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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