Daniel E. Marthaler

19 papers receiving 715 citations

Peers

Daniel E. Marthaler
Comparison fields: 5 of 82
  • Modeling and Simulation 64
  • Computer Networks and Communications 307
  • Control and Systems Engineering 189
  • Condensed Matter Physics 92
  • Ocean Engineering 101
Replace Tamás Kalmár‐Nagy with:
Tamás Kalmár‐Nagy Hungary
Ilya Pavlyukevich Germany
Emiliano Cristiani Italy
Ya. Ζ. Tsypkin Russia
Shutang Liu China
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Citations per year

Countries citing papers authored by Daniel E. Marthaler

Since Specialization
Citations

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

Fields of papers citing papers by Daniel E. Marthaler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel E. Marthaler. 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 Daniel E. Marthaler. The network helps show where Daniel E. Marthaler may publish in the future.

Co-authors

The 24 scholars most cited alongside Daniel E. Marthaler, 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 Daniel E. Marthaler Line = papers co-authored together Daniel E. Marthaler links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2007200
2 2006105
3 200486
4 200483
5 200381
6 200455
7 200545
8 200537
9 200519
10
pyGPs - A Python Library for Gaussian Process Regression and Classification
201517
11 200114
12 20038
13
Fractional bandwidth reacquisition algorithms for VSW-MCM
20036
14 20135
15 20135
16 20134
17 20133
18 20103
19 20023

About Daniel E. Marthaler

Daniel E. Marthaler is a scholar working on Aerospace Engineering, Computer Networks and Communications, Management Science and Operations Research, Ocean Engineering and Computer Vision and Pattern Recognition, having authored 19 papers that have together received 779 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (4 papers), Robotic Path Planning Algorithms (3 papers), Simulation Techniques and Applications (3 papers), Robotics and Sensor-Based Localization (3 papers), Molecular Communication and Nanonetworks (3 papers), Advanced Multi-Objective Optimization Algorithms (2 papers), Traffic control and management (2 papers) and Underwater Vehicles and Communication Systems (2 papers). The work is most often cited by research in Modeling and Simulation (64 citations), Computer Networks and Communications (307 citations), Control and Systems Engineering (189 citations), Condensed Matter Physics (92 citations) and Ocean Engineering (101 citations). Daniel E. Marthaler has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include Andrea Louise Bertozzi, Dieter Armbruster, Christian A. Ringhofer, Mathieu Kemp, Yao-Li Chuang, Maria Rita D'Orsogna, Karl G. Kempf, Zhipu Jin, Richard Murray and C.H. Hsieh. Their work appears in journals such as Physica D Nonlinear Phenomena, Operations Research, Lecture notes in control and information sciences, Journal of Applied Physics and Multiscale Modeling and Simulation.

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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