Issa Nesnas

2.3k citations
90 papers · 1.3k indexed · h-index 20

Issa Nesnas

86 papers receiving 1.2k citations

Peers

Issa Nesnas
Comparison fields: 5 of 82
  • Computer Vision and Pattern Recognition 447
  • Astronomy and Astrophysics 300
  • Aerospace Engineering 434
  • Software 60
  • Control and Systems Engineering 303
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A. Trebi‐Ollennu United States
J. Balaram United States
Paul Backes United States
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Klaus Janschek Germany
Sérgio Montenegro Germany
Sándor M. Veres United Kingdom
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Citations per year

Countries citing papers authored by Issa Nesnas

Since Specialization
Citations

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

Fields of papers citing papers by Issa Nesnas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 202112
4 20214
5
Design Reference Missions (DRMs) for Advancing Autonomy in Exploration of Small Bodies
20191
6
Novel Planetary Science Enabled by Networked Constellations
20170
7
Exploring Pits and Caves with the Axel Extreme Terrain Rover
20151
8 201324
9
Mechanism for Deploying a Long, Thin-Film Antenna from a Rover
20131
10 201313
11
Spacecraft/Rover Hybrids for the Exploration of Small Solar System Bodies. [NASA NIAC Phase I Study]
20121
12 20113
13 201011
14
Supporting Increased Autonomy for a Mars Rover
20086
15 200733
16 20072
17
Opportunistic Planning and Execution for Planetary Exploration
20062
18
Realtime Absolute Orientation with Outlier Rejection for Visual Odometry and Mesh Merging
20041
19
Autonomous Rock Tracking and Acquisition from a Mars Rover
199917
20
Autonomous Rover Technology for Mars Sample Return
199931

About Issa Nesnas

Issa Nesnas is a scholar working on Astronomy and Astrophysics, Aerospace Engineering and Computer Vision and Pattern Recognition, having authored 90 papers that have together received 1.3k indexed citations. Recurring topics across this work include Planetary Science and Exploration (35 papers), Robotic Path Planning Algorithms (25 papers), Astro and Planetary Science (24 papers), Modular Robots and Swarm Intelligence (24 papers), Robotics and Sensor-Based Localization (18 papers), Space Satellite Systems and Control (13 papers), Distributed systems and fault tolerance (11 papers) and Space Exploration and Technology (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (447 citations), Astronomy and Astrophysics (300 citations) and Aerospace Engineering (434 citations). Issa Nesnas has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include Tara Estlin, H. Das, R. Volpe, Reid Simmons, D. Mutz, R. Petráš, Marco Pavone, Joel W. Burdick, Mark Maimone and Anne Wright. Their work appears in journals such as Journal of Field Robotics, Autonomous Robots, Planetary and Space Science, IEEE Robotics and Automation Letters and IEEE Robotics & Automation Magazine.

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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