D. Soloway

580 citations
26 papers · 405 indexed · h-index 10

D. Soloway

26 papers receiving 368 citations

Peers

D. Soloway
Comparison fields: 5 of 64
  • Control and Systems Engineering 286
  • Aerospace Engineering 98
  • Artificial Intelligence 73
  • Computational Mechanics 46
  • Fluid Flow and Transfer Processes 12
Replace Brian C. Fabien with:
Brian C. Fabien United States
Hiromitsu Ohmori Japan
Teruo Tsuji Japan
Kenneth Sobel United States
Ali J. Koshkouei United Kingdom
Wenjing Yang China
Eric Walters United States
Claudia Schmid United States
R. Su United States
Arnab Maity India
D. Soloway relative to Brian C. Fabien United States Brian C. Fabien's profile →
Citations per field
00.5×
Brian C. Fabien · 1×
Citations per year

Countries citing papers authored by D. Soloway

Since Specialization
Citations

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

Fields of papers citing papers by D. Soloway

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 16 scholars most cited alongside D. Soloway, 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 D. Soloway Line = papers co-authored together D. Soloway links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20231
2 20232
3
Initial Evaluations of LoC Prediction Algorithms Using the NASA Vertical Motion Simulator
20144
4 20122
5 200921
6 200921
7 20055
8 20039
9 200339
10 200319
11 20023
12 20021
13 200284
14 200120
15 20008
16 199928
17
Neural Generalized Predictive Control: A Newton-Raphson Implementation
199778
18 199724
19 19921
20 19872

About D. Soloway

D. Soloway is a scholar working on Control and Systems Engineering, Fluid Flow and Transfer Processes, Automotive Engineering, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 26 papers that have together received 405 indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (10 papers), Control Systems and Identification (10 papers), Neural Networks and Applications (5 papers), Fault Detection and Control Systems (3 papers), Robot Manipulation and Learning (3 papers), Robotic Mechanisms and Dynamics (3 papers), Teleoperation and Haptic Systems (3 papers) and Iterative Learning Control Systems (3 papers). The work is most often cited by research in Control and Systems Engineering (286 citations), Aerospace Engineering (98 citations), Artificial Intelligence (73 citations), Computational Mechanics (46 citations) and Fluid Flow and Transfer Processes (12 citations). D. Soloway has collaborated with scholars based in United States. Frequent co-authors include Thomas E. Alberts, Ben Gold, Atul Kelkar, Jan T. Białasiewicz, Jianjun Shi, Daniel D. Moerder, David H. Wolpert, Armando A. Rodriguez, Robert L. Williams and F. W. Harrison. Their work appears in journals such as Journal of Engineering for Gas Turbines and Power, IEEE Control Systems, American Control Conference, Zenodo (CERN European Organization for Nuclear Research) and NASA Technical Reports Server (NASA).

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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