Matthew D. Stuber

580 citations
26 papers · 304 · h-index 10

Impact in

Papers in

Matthew D. Stuber

25 papers receiving 291 citations

Peers

Matthew D. Stuber
Comparison fields: 5 of 63
  • Numerical Analysis 108
  • Control and Systems Engineering 142
  • Computational Theory and Mathematics 93
  • Statistics, Probability and Uncertainty 31
  • Renewable Energy, Sustainability and the Environment 63
Replace Antonio Morsi with:
Antonio Morsi Germany
Björn Geißler Germany
Katerina P. Papalexandri United Kingdom
Keshava Prasad Halemane United States
Mustafa R. Kılınç United States
Baris Burnak United States
Juan M. Zamora Mexico
N. Nabona Spain
Vassilis Sakizlis United Kingdom
Nikolaos A. Bozinis United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Matthew D. Stuber

Since Specialization
Citations

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

Fields of papers citing papers by Matthew D. Stuber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Matthew D. Stuber, 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 D. Stuber Line = papers co-authored together Matthew D. Stuber links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201178
2 201441
3 201433
4 201519
5 202017
6 201413
7 201912
8 201112
9 201012
10 20219
11 20188
12 20198
13 20217
14 20187
15 20146
16 20194
17 20224
18 20233
19 20242
20 20222

About Matthew D. Stuber

Matthew D. Stuber is a scholar working on Control and Systems Engineering, Numerical Analysis, Computational Theory and Mathematics, Renewable Energy, Sustainability and the Environment and Ocean Engineering, having authored 26 papers that have together received 304 indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (10 papers), Advanced Optimization Algorithms Research (9 papers), Numerical Methods and Algorithms (6 papers), Fault Detection and Control Systems (5 papers), Control Systems and Identification (3 papers), Solar Thermal and Photovoltaic Systems (3 papers), Solar-Powered Water Purification Methods (2 papers) and Nanoparticle-Based Drug Delivery (2 papers). The work is most often cited by research in Numerical Analysis (108 citations), Control and Systems Engineering (142 citations), Computational Theory and Mathematics (93 citations), Statistics, Probability and Uncertainty (31 citations) and Renewable Energy, Sustainability and the Environment (63 citations). Matthew D. Stuber has collaborated with scholars based in United States, Canada and Cyprus. Frequent co-authors include Paul I. Barton, Joseph K. Scott, Shaylin A. Cetegen, George M. Bollas, Arul Sundaramoorthy, Zheqin Dai, Tianbao Wang, Baikun Li, Amvrossios C. Bagtzoglou and Zhiheng Xu. Their work appears in journals such as Optimization methods & software, Journal of Global Optimization, AIChE Journal, Computers & Chemical Engineering and Industrial & Engineering Chemistry Research.

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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