Joshua Redding

758 total citations
27 papers, 568 citations indexed

About

Joshua Redding is a scholar working on Artificial Intelligence, Computer Networks and Communications and Control and Systems Engineering. According to data from OpenAlex, Joshua Redding has authored 27 papers receiving a total of 568 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 11 papers in Computer Networks and Communications and 10 papers in Control and Systems Engineering. Recurrent topics in Joshua Redding's work include Reinforcement Learning in Robotics (11 papers), Distributed Control Multi-Agent Systems (7 papers) and Robotic Path Planning Algorithms (6 papers). Joshua Redding is often cited by papers focused on Reinforcement Learning in Robotics (11 papers), Distributed Control Multi-Agent Systems (7 papers) and Robotic Path Planning Algorithms (6 papers). Joshua Redding collaborates with scholars based in United States, Australia and Canada. Joshua Redding's co-authors include Randal W. Beard, Timothy W. McLain, Clark N. Taylor, Jonathan P. How, Jovan Boskovic, Alborz Geramifard, John Vian, Matthew A. Vavrina, Bernard Michini and Nicholas Roy and has published in prestigious journals such as Journal of Intelligent & Robotic Systems, International Conference on Machine Learning and DSpace@MIT (Massachusetts Institute of Technology).

In The Last Decade

Joshua Redding

27 papers receiving 549 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Joshua Redding United States 11 366 277 134 107 95 27 568
Yifeng Niu China 12 284 0.8× 285 1.0× 93 0.7× 126 1.2× 83 0.9× 81 573
Piotr Rudol Sweden 10 301 0.8× 272 1.0× 102 0.8× 83 0.8× 52 0.5× 22 521
Felix Ruess Germany 5 555 1.5× 465 1.7× 82 0.6× 143 1.3× 172 1.8× 6 792
Nicola Ceccarelli Italy 12 299 0.8× 174 0.6× 89 0.7× 177 1.7× 126 1.3× 16 489
Yang Lyu China 11 342 0.9× 210 0.8× 71 0.5× 101 0.9× 76 0.8× 43 481
Abdelkrim Nemra Algeria 11 457 1.2× 248 0.9× 186 1.4× 58 0.5× 114 1.2× 58 622
J.K. Rosenblatt United States 8 217 0.6× 363 1.3× 167 1.2× 85 0.8× 107 1.1× 11 517
Shupeng Lai Singapore 17 407 1.1× 397 1.4× 58 0.4× 146 1.4× 178 1.9× 50 635
Philipp Lutz Germany 7 573 1.6× 432 1.6× 78 0.6× 150 1.4× 173 1.8× 9 786
Mohammadreza Radmanesh United States 10 432 1.2× 378 1.4× 53 0.4× 141 1.3× 94 1.0× 26 608

Countries citing papers authored by Joshua Redding

Since Specialization
Citations

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

Fields of papers citing papers by Joshua Redding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joshua Redding

This figure shows the co-authorship network connecting the top 25 collaborators of Joshua Redding. A scholar is included among the top collaborators of Joshua Redding based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Joshua Redding. Joshua Redding is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Redding, Joshua, et al.. (2015). Solving NP-hard number matrix games with Wisdom of Artificial Crowds. 39. 38–43. 1 indexed citations
2.
Geramifard, Alborz, Joshua Redding, & Jonathan P. How. (2013). Intelligent Cooperative Control Architecture: A Framework for Performance Improvement Using Safe Learning. Journal of Intelligent & Robotic Systems. 72(1). 83–103. 27 indexed citations
3.
Üre, Nazım Kemal, Girish Chowdhary, Joshua Redding, et al.. (2012). Experimental Demonstration of Multi-Agent Learning and Planning under Uncertainty for Persistent Missions with Automated Battery Management. AIAA Guidance, Navigation, and Control Conference. 6 indexed citations
4.
Geramifard, Alborz, Joshua Redding, James Joseph, Nicholas Roy, & Jonathan P. How. (2012). Model estimation within planning and learning. 793–799. 2 indexed citations
5.
Redding, Joshua, Nazım Kemal Üre, Jonathan P. How, Matthew A. Vavrina, & John Vian. (2012). Scalable, MDP-based planning for multiple, cooperating agents. 22. 6011–6016. 8 indexed citations
6.
Geramifard, Alborz, Finale Doshi, Joshua Redding, Nicholas Roy, & Jonathan P. How. (2011). Online Discovery of Feature Dependencies. International Conference on Machine Learning. 881–888. 25 indexed citations
7.
Michini, Bernard, et al.. (2011). Automated Battery Swap and Recharge to Enable Persistent UAV Missions. DSpace@MIT (Massachusetts Institute of Technology). 85 indexed citations
8.
Geramifard, Alborz, Joshua Redding, Nicholas Roy, & Jonathan P. How. (2011). UAV cooperative control with stochastic risk models. 3393–3398. 18 indexed citations
9.
Redding, Joshua, Nazım Kemal Üre, Alborz Geramifard, et al.. (2011). Multi-Agent Planning for Persistent Missions with Automated Battery Management. AIAA Guidance, Navigation, and Control Conference. 6 indexed citations
11.
Redding, Joshua, et al.. (2010). An intelligent Cooperative Control Architecture. DSpace@MIT (Massachusetts Institute of Technology). 57–62. 23 indexed citations
12.
Redding, Joshua, et al.. (2010). Agent capability in persistent mission planning using approximate dynamic programming. 1623–1628. 7 indexed citations
13.
Boskovic, Jovan & Joshua Redding. (2009). Accommodation of Control Actuator Failures in Morphing Aircraft. AIAA Guidance, Navigation, and Control Conference. 2 indexed citations
14.
Redding, Joshua, Brett Bethke, Luca F. Bertuccelli, & Jonathan P. How. (2009). Active Learning in Persistent Surveillance UAV Missions. 3 indexed citations
15.
Redding, Joshua, Jovan Boskovic, Raman K. Mehra, & Chunlei Rui. (2008). Heterogeneous Cooperative Control of Multiple UAVs with Collaborative Assignment and Reactive Motion Planning. AIAA Guidance, Navigation and Control Conference and Exhibit. 4 indexed citations
16.
Redding, Joshua, et al.. (2007). A Real-Time Obstacle Detection and Reactive Path Planning System for Autonomous Small-Scale Helicopters. AIAA Guidance, Navigation and Control Conference and Exhibit. 37 indexed citations
17.
Boskovic, Jovan, Joshua Redding, & Raman K. Mehra. (2007). Robust Fault-Tolerant Flight Control using a New Failure Parameterization. 5753–5758. 8 indexed citations
18.
Boskovic, Jovan, Joshua Redding, & Raman K. Mehra. (2007). Integrated Health Monitoring and Adaptive Reconfigurable Control. AIAA Guidance, Navigation and Control Conference and Exhibit. 3 indexed citations
19.
Redding, Joshua, Timothy W. McLain, Randal W. Beard, & Clark N. Taylor. (2006). Vision-based target localization from a fixed-wing miniature air vehicle. 68 indexed citations
20.
Mitchell, Jason W., Steven Rasmussen, Joshua Redding, & Phillip Chandler. (2004). Synchronous and Asynchronous Communication Effects on the Cooperative Control of Uninhabited Aerial Vehicles. AIAA Guidance, Navigation, and Control Conference and Exhibit. 2 indexed citations

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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