Matthew Berger

503 citations
27 papers · 296 · h-index 8

Impact in

Papers in

Matthew Berger

22 papers receiving 291 citations

Peers

Matthew Berger
Comparison fields: 5 of 77
  • Computer Graphics and Computer-Aided Design 36
  • Computer Vision and Pattern Recognition 126
  • Computational Theory and Mathematics 72
  • Biophysics 18
  • Artificial Intelligence 68
Replace Valentin E. Brimkov with:
Valentin E. Brimkov United States
Laura Papaleo Italy
Chakravarthy Bhagvati India
Bahjat Kawar Israel
Marc Glisse France
Will Usher United States
Yongfei Wu China
Gwanghyun Kim South Korea
Y. Lamdan United States
Joerg Meyer United States
Matthew Berger relative to Valentin E. Brimkov United States Valentin E. Brimkov's profile →
Citations per field
00.5×10×15×17.5×
Valentin E. Brimkov · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Matthew Berger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Matthew Berger Line = papers co-authored together Matthew Berger links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201676
2 202162
3 201660
4 201413
5 201012
6 20229
7 20239
8 20168
9 20187
10 20247
11 20215
12 20224
13 20214
14 20214
15
NNCubes: Learned Structures for Visual Data Exploration.
20183
16 20183
17 20213
18 20232
19 20202
20
David the small satellite for dedicated remote sensing purposes
19981

About Matthew Berger

Matthew Berger is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Mechanics of Materials, having authored 27 papers that have together received 296 indexed citations. Recurring topics across this work include Data Visualization and Analytics (5 papers), Ultrasound Imaging and Elastography (3 papers), Generative Adversarial Networks and Image Synthesis (3 papers), Anomaly Detection Techniques and Applications (3 papers), Ultrasonics and Acoustic Wave Propagation (3 papers), Time Series Analysis and Forecasting (3 papers), Advanced Image Processing Techniques (2 papers) and Ultrasound in Clinical Applications (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (36 citations), Computer Vision and Pattern Recognition (126 citations), Computational Theory and Mathematics (72 citations), Biophysics (18 citations) and Artificial Intelligence (68 citations). Matthew Berger has collaborated with scholars based in United States, Brazil and Mexico. Frequent co-authors include Lee M. Seversky, Joshua A. Levine, Saroj Kumar Sahoo, Daniel S. Brown, Ravindra Duddu, Mingwei Li, Shusen Liu, Adam Luchies, Brett Byram and Thomas Costantino. Their work appears in journals such as Computer Graphics Forum, The American Journal of Gastroenterology, Canadian Journal of Emergency Medicine, IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control and Information Visualization.

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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