Peter Mitrano
Impact in
- Ocean Engineering top 5%
- Particle Dynamics in Fluid Flows
- Computational Mechanics top 5%
- Granular flow and fluidized beds
- Heat and Mass Transfer in Porous Media
- Fluid Dynamics and Heat Transfer
Papers in
-
- Particle Dynamics in Fluid Flows 7
-
- Granular flow and fluidized beds 7
- Lattice Boltzmann Simulation Studies 2
- Co-authors
- Christine M. Hrenya (7 shared papers)Dmitry Berenson (4 shared papers)Steven R. Dahl (3 shared papers)Vicente Garzó (2 shared papers)Michael S. Pacella (1 shared paper)Xiaolong Yin (2 shared papers)Janine E. Galvin (1 shared paper)Sofiane Benyahia (1 shared paper)
- Journals
- Journal of Fluid Mechanics (3 papers)Science Robotics (1 paper)Physics of Fluids (1 paper)Physical Review E (2 papers)
- Partner nations
- United StatesSpain
In The Last Decade
Peter Mitrano
11 papers receiving 207 citations
Peers
Comparison fields: 5 of 36
- Ocean Engineering 124
- Computational Mechanics 149
- Control and Systems Engineering 36
- Materials Chemistry 51
- Computer Vision and Pattern Recognition 21
Countries citing papers authored by Peter Mitrano
This map shows the geographic impact of Peter Mitrano'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 Peter Mitrano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Mitrano more than expected).
Fields of papers citing papers by Peter Mitrano
This network shows the impact of papers produced by Peter Mitrano. 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 Peter Mitrano. The network helps show where Peter Mitrano may publish in the future.
Co-authors
The 10 scholars most cited alongside Peter Mitrano, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 36 | |
| 2 | 2021 | 35 | |
| 3 | 2012 | 32 | |
| 4 | 2013 | 24 | |
| 5 | 2013 | 22 | |
| 6 | 2014 | 18 | |
| 7 | 2013 | 18 | |
| 8 | 2023 | 11 | |
| 9 | 2022 | 11 | |
| 10 | Clustering Instabilities in Gas-Solid Systems: Role of Dissipative Collisions vs. Viscous Losses | 2013 | 1 |
| 11 | Using Recurrent Neural Networks to Judge Fitness in Musical Genetic Algorithms | 2020 | 1 |
| 12 | 2024 | 0 |
About Peter Mitrano
Peter Mitrano is a scholar working on Ocean Engineering, Computational Mechanics, Computer Vision and Pattern Recognition, Control and Systems Engineering and Materials Chemistry, having authored 12 papers that have together received 209 indexed citations. Recurring topics across this work include Particle Dynamics in Fluid Flows (7 papers), Granular flow and fluidized beds (7 papers), Material Dynamics and Properties (3 papers), Robot Manipulation and Learning (3 papers), Robotic Path Planning Algorithms (3 papers), Lattice Boltzmann Simulation Studies (2 papers), Robotics and Sensor-Based Localization (1 paper) and Image and Object Detection Techniques (1 paper). The work is most often cited by research in Ocean Engineering (124 citations), Computational Mechanics (149 citations), Control and Systems Engineering (36 citations), Materials Chemistry (51 citations) and Computer Vision and Pattern Recognition (21 citations). Peter Mitrano has collaborated with scholars based in United States and Spain. Frequent co-authors include Christine M. Hrenya, Dmitry Berenson, Steven R. Dahl, Vicente Garzó, Michael S. Pacella, Xiaolong Yin, Janine E. Galvin, Sofiane Benyahia, Oliver Kroemer and Scott J. Barton. Their work appears in journals such as Journal of Fluid Mechanics, Science Robotics, Physics of Fluids and Physical Review E.
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.