Matthew Berger

492 total citations
26 papers, 289 citations indexed

About

Matthew Berger is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Signal Processing. According to data from OpenAlex, Matthew Berger has authored 26 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 7 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Signal Processing. Recurrent topics in Matthew Berger's work include Data Visualization and Analytics (5 papers), Ultrasound Imaging and Elastography (3 papers) and Time Series Analysis and Forecasting (3 papers). Matthew Berger is often cited by papers focused on Data Visualization and Analytics (5 papers), Ultrasound Imaging and Elastography (3 papers) and Time Series Analysis and Forecasting (3 papers). Matthew Berger collaborates with scholars based in United States, Mexico and United Kingdom. Matthew Berger's co-authors include Lee M. Seversky, Joshua A. Levine, Saroj Kumar Sahoo, Ravindra Duddu, Daniel S. Brown, Adam Luchies, Brett Byram, Hermann Kaufmann, Mingwei Li and Daniel B. Brown and has published in prestigious journals such as SHILAP Revista de lepidopterología, The American Journal of Gastroenterology and IEEE Transactions on Medical Imaging.

In The Last Decade

Matthew Berger

22 papers receiving 283 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthew Berger United States	8	125	68	66	35	29	26	289
Ali Kemal Sinop United States	6	221 1.8×	54 0.8×	55 0.8×	14 0.4×	21 0.7×	20	305
Valentin E. Brimkov United States	11	206 1.6×	121 1.8×	38 0.6×	92 2.6×	12 0.4×	58	320
Petter Strandmark Sweden	9	135 1.1×	23 0.3×	40 0.6×	13 0.4×	29 1.0×	12	239
Adriano Lopes Portugal	3	141 1.1×	21 0.3×	40 0.6×	83 2.4×	10 0.3×	4	252
Laura Papaleo Italy	8	134 1.1×	87 1.3×	18 0.3×	49 1.4×	12 0.4×	24	244
Yongfei Wu China	10	263 2.1×	18 0.3×	55 0.8×	4 0.1×	36 1.2×	31	361
Yizhe Zhu United States	11	247 2.0×	10 0.1×	162 2.5×	21 0.6×	38 1.3×	28	374
Xianhua Zeng China	13	278 2.2×	108 1.6×	221 3.3×	5 0.1×	65 2.2×	45	523
Bahjat Kawar Israel	3	333 2.7×	7 0.1×	77 1.2×	87 2.5×	24 0.8×	5	431
Will Usher United States	11	147 1.2×	12 0.2×	31 0.5×	161 4.6×	9 0.3×	25	323

Countries citing papers authored by Matthew Berger

Since Specialization

Citations

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

Fields of papers citing papers by Matthew Berger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Berger

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Berger. A scholar is included among the top collaborators of Matthew Berger 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 Berger. Matthew Berger 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

Berger, Matthew, et al.. (2025). The U-POCUS protocol: urinalysis and point-of-care ultrasound to exclude symptomatic ureterolithiasis in emergency department patients. Canadian Journal of Emergency Medicine. 27(12). 1002–1009.

Jaeger, D., et al.. (2024). Diagnostic Accuracy of a Handheld Ultrasound vs a Cart-based Model: A Randomized Clinical Trial.. SHILAP Revista de lepidopterología. 25(2). 268–274. 6 indexed citations

Li, Mingwei, et al.. (2024). CAN: Concept‐Aligned Neurons for Visual Comparison of Deep Neural Network Models. Computer Graphics Forum. 43(3).

Berger, Matthew, et al.. (2023). CNN-Based Surrogate for the Phase Field Damage Model: Generalization across Microstructure Parameters for Composite Materials. Journal of Engineering Mechanics. 149(6). 9 indexed citations

Li, Mingwei, et al.. (2023). Graphical Perception of Saliency-based Model Explanations. 1–15. 2 indexed citations

Liu, Shusen, et al.. (2022). Interactively Assessing Disentanglement in GANs. Computer Graphics Forum. 41(3). 85–95. 3 indexed citations

Sahoo, Saroj Kumar, et al.. (2022). Neural Flow Map Reconstruction. Computer Graphics Forum. 41(3). 391–402. 9 indexed citations

Levine, Joshua A., et al.. (2021). Compressive Neural Representations of Volumetric Scalar Fields. Computer Graphics Forum. 40(3). 135–146. 61 indexed citations

Luchies, Adam, et al.. (2021). Evaluating Input Domain and Model Selection for Deep Network Ultrasound Beamforming. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 68(7). 2370–2385. 4 indexed citations

10.

Berger, Matthew, et al.. (2021). S2961 Nivolumab-Induced Recurrence of Eosinophilic Enteritis and Esophagitis. The American Journal of Gastroenterology. 116(1). S1225–S1226. 1 indexed citations

11.

Wang, Z., Mingwei Li, Matthew Berger, et al.. (2021). NeuralCubes: Deep Representations for Visual Data Exploration. 2021 IEEE International Conference on Big Data (Big Data). 550–561. 3 indexed citations

12.

Wang, Zhe, Mingwei Li, Matthew Berger, et al.. (2018). NNCubes: Learned Structures for Visual Data Exploration.. arXiv (Cornell University). 3 indexed citations

13.

Berger, Matthew, et al.. (2018). Visual Supervision in Bootstrapped Information Extraction. 7 indexed citations

14.

Seversky, Lee M., et al.. (2016). On Time-Series Topological Data Analysis: New Data and Opportunities. 1014–1022. 73 indexed citations

15.

Berger, Matthew, Lee M. Seversky, & Daniel S. Brown. (2016). Classifying swarm behavior via compressive subspace learning. 5328–5335. 8 indexed citations

16.

Berger, Matthew, et al.. (2016). cite2vec: Citation-Driven Document Exploration via Word Embeddings. IEEE Transactions on Visualization and Computer Graphics. 23(1). 691–700. 58 indexed citations

17.

Berger, Matthew & Lee M. Seversky. (2014). Subspace Tracking under Dynamic Dimensionality for Online Background Subtraction. 1274–1281. 13 indexed citations

18.

Berger, Matthew, et al.. (2010). Room occupancy measurement using low-resolution infrared cameras. Research Output (Edinburgh Napier University). 249–254. 12 indexed citations

19.

Berger, Matthew, et al.. (1998). David the small satellite for dedicated remote sensing purposes. 77–82. 1 indexed citations

20.

Segl, Karl, Matthew Berger, & Hermann Kaufmann. (1994). Diagnostic analysis of hyperspectral data using neural network techniques in combination with spectral libraries. Repository KITopen (Karlsruhe Institute of Technology). 3 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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