Matthew Olson

1.3k total citations
16 papers, 422 citations indexed

About

Matthew Olson is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Management Science and Operations Research. According to data from OpenAlex, Matthew Olson has authored 16 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Management Science and Operations Research. Recurrent topics in Matthew Olson's work include MRI in cancer diagnosis (3 papers), Explainable Artificial Intelligence (XAI) (3 papers) and Advanced Neuroimaging Techniques and Applications (3 papers). Matthew Olson is often cited by papers focused on MRI in cancer diagnosis (3 papers), Explainable Artificial Intelligence (XAI) (3 papers) and Advanced Neuroimaging Techniques and Applications (3 papers). Matthew Olson collaborates with scholars based in United States and Canada. Matthew Olson's co-authors include Abraham J. Wyner, Justin Bleich, David Mease, Richard A. Berk, Savannah C. Partridge, Constance D. Lehman, Habib Rahbar, Wendy B. DeMartini, Kimberly H. Allison and Sana Parsian and has published in prestigious journals such as Radiology, Artificial Intelligence and Physica D Nonlinear Phenomena.

In The Last Decade

Matthew Olson

14 papers receiving 410 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthew Olson United States	9	158	113	35	31	26	16	422
Lan Li China	14	479 3.0×	342 3.0×	16 0.5×	119 3.8×	52 2.0×	61	762
Md. Sarwar Kamal Bangladesh	14	195 1.2×	69 0.6×	51 1.5×	46 1.5×	41 1.6×	51	633
Shanxiong Chen China	11	153 1.0×	83 0.7×	14 0.4×	129 4.2×	32 1.2×	66	443
José Marcio Luna United States	10	109 0.7×	126 1.1×	27 0.8×	29 0.9×	54 2.1×	28	356
Yashbir Singh United States	11	165 1.0×	238 2.1×	23 0.7×	40 1.3×	10 0.4×	52	592
Vitaly Schetinin United Kingdom	14	235 1.5×	38 0.3×	34 1.0×	48 1.5×	9 0.3×	40	461
Meike Nauta Netherlands	8	396 2.5×	106 0.9×	17 0.5×	66 2.1×	22 0.8×	13	620
J. Soares Portugal	4	150 0.9×	27 0.2×	26 0.7×	25 0.8×	19 0.7×	8	431

Countries citing papers authored by Matthew Olson

Since Specialization

Citations

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

Fields of papers citing papers by Matthew Olson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Olson

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

All Works

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16 of 16 papers shown

Olson, Matthew, Shusen Liu, Jayaraman J. Thiagarajan, et al.. (2024). Transformer-powered surrogates close the ICF simulation-experiment gap with extremely limited data. Machine Learning Science and Technology. 5(2). 25054–25054. 1 indexed citations

Olson, Matthew, et al.. (2024). Why do LLaVA Vision-Language Models Reply to Images in English?. 13402–13421. 1 indexed citations

Olson, Matthew, Shusen Liu, Rushil Anirudh, et al.. (2023). Cross-GAN Auditing: Unsupervised Identification of Attribute Level Similarities and Differences Between Pretrained Generative Models. 7981–7990. 3 indexed citations

Dodge, Jonathan, et al.. (2022). How Do People Rank Multiple Mutant Agents?. 191–211. 4 indexed citations

Olson, Matthew, et al.. (2021). Counterfactual state explanations for reinforcement learning agents via generative deep learning. Artificial Intelligence. 295. 103455–103455. 36 indexed citations

Olson, Matthew, David Goluskin, William W. Schultz, & Charles R. Doering. (2020). Heat transport bounds for a truncated model of Rayleigh–Bénard convection via polynomial optimization. Physica D Nonlinear Phenomena. 415. 132748–132748. 10 indexed citations

Anderson, A. W., Jonathan Dodge, Jed Irvine, et al.. (2020). Mental Models of Mere Mortals with Explanations of Reinforcement Learning. ACM Transactions on Interactive Intelligent Systems. 10(2). 1–37. 36 indexed citations

Olson, Matthew, Lisa Zhang, & Chun-Nam Yu. (2019). ADAPTING PRETRAINED LANGUAGE MODELS FOR LONG DOCUMENT CLASSIFICATION.

Olson, Matthew, Abraham J. Wyner, & Richard A. Berk. (2018). Modern Neural Networks Generalize on Small Data Sets. Neural Information Processing Systems. 31. 3619–3628. 64 indexed citations

10.

Olson, Matthew. (2018). Essays on Random Forest Ensembles. ScholarlyCommons (University of Pennsylvania). 3 indexed citations

11.

Hartley, Jonathan & Matthew Olson. (2018). Jim Cramer’s Mad Money Charitable Trust Performance and Factor Attribution. The Journal of Retirement. 6(1). 45–54.

12.

Olson, Matthew, et al.. (2018). Reduce Before You Localize: Delta-Debugging and Spectrum-Based Fault Localization. 184–191. 20 indexed citations

13.

Wyner, Abraham J., Matthew Olson, Justin Bleich, & David Mease. (2017). Explaining the success of adaboost and random forests as interpolating classifiers. Journal of Machine Learning Research. 18(1). 1558–1590. 137 indexed citations

14.

Rahbar, Habib, Brenda F. Kurland, Matthew Olson, et al.. (2016). Diffusion-Weighted Breast Magnetic Resonance Imaging. Journal of Computer Assisted Tomography. 40(3). 428–435. 12 indexed citations

15.

Rahbar, Habib, et al.. (2015). Diffusion‐weighted imaging: Effects of intravascular contrast agents on apparent diffusion coefficient measures of breast malignancies at 3 tesla. Journal of Magnetic Resonance Imaging. 42(3). 788–800. 29 indexed citations

16.

Parsian, Sana, Habib Rahbar, Kimberly H. Allison, et al.. (2012). Nonmalignant Breast Lesions: ADCs of Benign and High-Risk Subtypes Assessed as False-Positive at Dynamic Enhanced MR Imaging. Radiology. 265(3). 696–706. 66 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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