Matthias K. Gobbert

885 total citations
87 papers, 605 citations indexed

About

Matthias K. Gobbert is a scholar working on Computational Mechanics, Electrical and Electronic Engineering and Radiation. According to data from OpenAlex, Matthias K. Gobbert has authored 87 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computational Mechanics, 16 papers in Electrical and Electronic Engineering and 14 papers in Radiation. Recurrent topics in Matthias K. Gobbert's work include Advanced Numerical Methods in Computational Mathematics (11 papers), Radiation Therapy and Dosimetry (10 papers) and Radiation Detection and Scintillator Technologies (10 papers). Matthias K. Gobbert is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (11 papers), Radiation Therapy and Dosimetry (10 papers) and Radiation Detection and Scintillator Technologies (10 papers). Matthias K. Gobbert collaborates with scholars based in United States, South Africa and Germany. Matthias K. Gobbert's co-authors include Timothy S. Cale, T. Merchant, Christian Ringhofer, L. Borucki, Vinay Prasad, C. A. Chavez Barajas, Shiming Yang, Andreas Prohl, J Polf and Leighton T. Izu and has published in prestigious journals such as Journal of The Electrochemical Society, Journal of Computational Physics and Thin Solid Films.

In The Last Decade

Matthias K. Gobbert

76 papers receiving 576 citations

Peers

Matthias K. Gobbert

EEE

John T. Conway Norway

Aaron Fisher United States

K. Kowalski Poland

J.A. Mackenzie United Kingdom

Benjamin Kirk United States

Ferenc Járai-Szabó Romania

Enzo Tonti Italy

С. В. Кузнецов Russia

Andrea Cristofolini Italy

Mark Lyon United States

John T. Conway Norway

Matthias K. Gobbert

456 ×2.3

EEE

136 ×1.1

28 ×0.2

96 ×1.4

60 ×0.9

Citations per year, relative to Matthias K. Gobbert Matthias K. Gobbert (= 1×) peers John T. Conway

Countries citing papers authored by Matthias K. Gobbert

Since Specialization

Citations

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

Fields of papers citing papers by Matthias K. Gobbert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthias K. Gobbert. 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 Matthias K. Gobbert. The network helps show where Matthias K. Gobbert may publish in the future.

Co-authorship network of co-authors of Matthias K. Gobbert

This figure shows the co-authorship network connecting the top 25 collaborators of Matthias K. Gobbert. A scholar is included among the top collaborators of Matthias K. Gobbert 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 Matthias K. Gobbert. Matthias K. Gobbert 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

Gobbert, Matthias K., et al.. (2025). Large-Scale Optimizations in Proton Beam Radiotherapy by Neural Network Denoising of Robust Simulated Patient Data. 2786–2794. 1 indexed citations

Sharma, Vijay R., Zhuoran Jiang, Sina Mossahebi, et al.. (2025). Modeling prompt gamma (PG) emission, detection and imaging in real patient anatomy using a novel Compton camera for dose verification in proton therapy. Physics in Medicine and Biology. 70(12). 125004–125004.

Barajas, C. A. Chavez, J Polf, & Matthias K. Gobbert. (2023). Deep residual fully connected neural network classification of Compton camera based prompt gamma imaging for proton radiotherapy. Frontiers in Physics. 11. 6 indexed citations

Jiang, Zhuoran, J Polf, C. A. Chavez Barajas, Matthias K. Gobbert, & Lei Ren. (2023). A feasibility study of enhanced prompt gamma imaging for range verification in proton therapy using deep learning. Physics in Medicine and Biology. 68(7). 75001–75001. 10 indexed citations

Clark, Joseph F., et al.. (2022). Multi-Layer Recurrent Neural Networks for the Classification of Compton Camera Based Imaging Data for Proton Beam Cancer Treatment. Maryland Shared Open Access Repository (USMAI Consortium). 11. 213–222. 3 indexed citations

Polf, J, C. A. Chavez Barajas, S Peterson, et al.. (2022). Applications of Machine Learning to Improve the Clinical Viability of Compton Camera Based in vivo Range Verification in Proton Radiotherapy. Frontiers in Physics. 10. 16 indexed citations

Barajas, C. A. Chavez, et al.. (2021). Performance Benchmarking of Parallel Hyperparameter Tuning for Deep Learning Based Tornado Predictions. Big Data Research. 25. 100212–100212. 7 indexed citations

Barajas, C. A. Chavez, et al.. (2020). Improvements to the Deep Learning Classification of Compton Camera Based Prompt Gamma Imaging for Proton Radiotherapy. Maryland Shared Open Access Repository (USMAI Consortium). 1 indexed citations

Barajas, C. A. Chavez, Matthias K. Gobbert, & Jianwu Wang. (2019). Performance Benchmarking of Data Augmentation and Deep Learning for Tornado Prediction. Maryland Shared Open Access Repository (USMAI Consortium). 3607–3615. 4 indexed citations

10.

Gobbert, Matthias K., et al.. (2018). Long-time simulations with complex code using multiple nodes of Intel Xeon Phi Knights Landing. Journal of Computational and Applied Mathematics. 337. 18–36. 1 indexed citations

11.

Kearns, Anna M., et al.. (2018). Nuclear introns help unravel the diversification history of the Australo-Pacific Petroica robins. Molecular Phylogenetics and Evolution. 131. 48–54. 6 indexed citations

12.

Meyer, Chad, et al.. (2017). Examining the Electrical Excitation, Calcium Signaling, and Mechanical Contraction Cycle in a Heart Cell. ISU Red - Research and eData (Illinois State University). 3(1). 2 indexed citations

13.

Barajas, Carlos, et al.. (2016). Examining the Effect of Introducing a Link From Electrical Excitation to Calcium Dynamics in a Cardiomyocyte. ISU Red - Research and eData (Illinois State University). 2(1). 5 indexed citations

14.

Gobbert, Matthias K., et al.. (2015). Time-stepping techniques to enable the simulation of bursting behavior in a physiologically realistic computational islet. Mathematical Biosciences. 263. 1–17. 2 indexed citations

15.

Sharma, Neeraj & Matthias K. Gobbert. (2010). A COMPARATIVE EVALUATION OF MATLAB, OCTAVE, FREEMAT, AND SCILAB FOR RESEARCH AND TEACHING. Maryland Shared Open Access Repository (USMAI Consortium). 13 indexed citations

16.

Yang, Shiming & Matthias K. Gobbert. (2008). The optimal relaxation parameter for the SOR method applied to the Poisson equation in any space dimensions. Applied Mathematics Letters. 22(3). 325–331. 21 indexed citations

17.

Gobbert, Matthias K., et al.. (2004). Design of an effective numerical method for a reaction-diffusion system with internal and transient layers. University of Minnesota Digital Conservancy (University of Minnesota). 1 indexed citations

18.

Gobbert, Matthias K., et al.. (2002). Parallel Numerical Solution of the Boltzmann Equation for Atomic Layer Deposition (Research Note). 452–456. 1 indexed citations

19.

Cale, T.S., et al.. (2002). Integrated multiscale process simulation. Computational Materials Science. 23(1-4). 3–14. 26 indexed citations

20.

Gobbert, Matthias K., Vinay Prasad, & Timothy S. Cale. (2002). Modeling and simulation of atomic layer deposition at the feature scale. Journal of Vacuum Science & Technology B Microelectronics and Nanometer Structures Processing Measurement and Phenomena. 20(3). 1031–1043. 28 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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