Steve Schaffer

630 citations
35 papers · 453 indexed · h-index 13

Steve Schaffer

32 papers receiving 395 citations

Peers

Steve Schaffer
Comparison fields: 5 of 86
  • Computational Mechanics 146
  • Numerical Analysis 33
  • Computational Theory and Mathematics 59
  • Artificial Intelligence 106
  • Ocean Engineering 49
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Countries citing papers authored by Steve Schaffer

Since Specialization
Citations

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

Fields of papers citing papers by Steve Schaffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202015
2 20186
3
Adaptive AUV in-situ sensing system
20171
4 201712
5
Online Detection of Mixed Layer Depth for Autonomous Underwater Vehicles
20151
6
Automatic Image Analysis for Adaptive Instrument Targeting: Applications to MSL and Mars 2020
20141
7
Improving the Operations of the Earth Observing One Mission via Automated Mission Planning
20106
8 20101
9
Onboard Science Product Generation on the Earth Observing One Mission and Beyond
20091
10
Titan's Shape, Radius and Landscape from Cassini Radar Altimetry
20072
11
Probabilistic reasoning for plan robustness
20051
12
Nonlinear control of power network models using feedback linearization.
20051
13
An Integrated Approach to Modeling, Simulation, and Analysis of Critical Infrastructure Systems
20051
14 20044
15 200285
16 20022
17
Continuous planning and execution for an autonomous Mars Rover
200222
18 199817
19 199859
20 198723

About Steve Schaffer

Steve Schaffer is a scholar working on Numerical Analysis, Ocean Engineering and Computational Mechanics, having authored 35 papers that have together received 453 indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (8 papers), AI-based Problem Solving and Planning (7 papers), Numerical methods for differential equations (6 papers), Distributed systems and fault tolerance (4 papers), Robotic Path Planning Algorithms (4 papers), Planetary Science and Exploration (3 papers), Power System Optimization and Stability (3 papers) and Electromagnetic Simulation and Numerical Methods (3 papers). The work is most often cited by research in Computational Mechanics (146 citations), Numerical Analysis (33 citations) and Computational Theory and Mathematics (59 citations). Steve Schaffer has collaborated with scholars based in United States, Colombia and United Kingdom. Frequent co-authors include Sheila Tejada, Andrew N. Marshall, Manuela Veloso, Gal A. Kaminka, Steve Chien, Suresh D. Pillai, Daniel Mandl, Rodrick V. Chima, Dirk Schulze‐Makuch and Eli Turkel. Their work appears in journals such as Mathematics of Computation, Journal of Field Robotics, Ground Water, SIAM Journal on Scientific Computing and Transport in Porous Media.

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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