Christopher Reardon

678 total citations
44 papers, 403 citations indexed

About

Christopher Reardon is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Christopher Reardon has authored 44 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 9 papers in Aerospace Engineering. Recurrent topics in Christopher Reardon's work include Robotics and Sensor-Based Localization (8 papers), Robotic Path Planning Algorithms (7 papers) and Human Pose and Action Recognition (6 papers). Christopher Reardon is often cited by papers focused on Robotics and Sensor-Based Localization (8 papers), Robotic Path Planning Algorithms (7 papers) and Human Pose and Action Recognition (6 papers). Christopher Reardon collaborates with scholars based in United States, Czechia and Switzerland. Christopher Reardon's co-authors include Lynne E. Parker, Jonathan Fink, Giuseppe Loianno, Kevin Lee, Hao Zhang, Brian Reily, Ben Birch, Dario Floreano, Garrett Warnell and Wenjun Zhou and has published in prestigious journals such as Nature Communications, PLoS Pathogens and BMC Bioinformatics.

In The Last Decade

Christopher Reardon

37 papers receiving 386 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christopher Reardon United States	11	216	114	75	67	64	44	403
Aleksandar Jevtić Spain	13	155 0.7×	55 0.5×	127 1.7×	119 1.8×	43 0.7×	36	450
Mark Micire United States	11	164 0.8×	114 1.0×	35 0.5×	100 1.5×	117 1.8×	19	433
Ken Conley Japan	6	121 0.6×	90 0.8×	51 0.7×	106 1.6×	17 0.3×	9	341
J. Bao China	11	154 0.7×	71 0.6×	48 0.6×	96 1.4×	48 0.8×	34	312
Enric Cervera Spain	11	211 1.0×	116 1.0×	48 0.6×	160 2.4×	18 0.3×	67	440
Raymond Sheh Australia	10	87 0.4×	80 0.7×	81 1.1×	74 1.1×	19 0.3×	35	296
Jeff Hyams United States	6	191 0.9×	118 1.0×	37 0.5×	55 0.8×	14 0.2×	7	294
Daniel Burnier Switzerland	6	137 0.6×	77 0.7×	84 1.1×	116 1.7×	19 0.3×	8	346
Casey J. Helfrich United States	6	149 0.7×	51 0.4×	67 0.9×	135 2.0×	27 0.4×	7	396
S. M. Bhagya P. Samarakoon Singapore	13	221 1.0×	140 1.2×	49 0.7×	113 1.7×	17 0.3×	49	421

Countries citing papers authored by Christopher Reardon

Since Specialization

Citations

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

Fields of papers citing papers by Christopher Reardon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Reardon

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher Reardon. A scholar is included among the top collaborators of Christopher Reardon 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 Christopher Reardon. Christopher Reardon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Saelens, Joseph W., Christopher Reardon, Rebecca Ward, et al.. (2025). Extracellular vesicles from diverse fungal pathogens induce species-specific and endocytosis-dependent immunomodulation. PLoS Pathogens. 21(5). e1012879–e1012879. 2 indexed citations

Gao, Peng, et al.. (2025). Coordinated Multi-Robot Navigation with Formation Adaptation. 11384–11391.

Reedy, Jennifer L., Rebecca Ward, Christopher Reardon, et al.. (2024). Fungal melanin suppresses airway epithelial chemokine secretion through blockade of calcium fluxing. Nature Communications. 15(1). 5817–5817. 5 indexed citations

Hopke, Alex, Hannah Brown, Jennifer L. Reedy, et al.. (2024). BTK inhibitor–induced defects in human neutrophil effector activity against Aspergillus fumigatus are restored by TNF-α. JCI Insight. 9(12). 7 indexed citations

Conway, Mike, Brian Reily, & Christopher Reardon. (2024). Learned Sensor Fusion For Robust Human Activity Recognition in Challenging Environments. 11537–11543. 1 indexed citations

Miller, O. L., et al.. (2024). Heterogeneous Multi-Robot Person-Following in Constrained Environments. 136–141.

Reily, Brian, John G. Rogers, & Christopher Reardon. (2021). Balancing Mission and Comprehensibility in Multi-Robot Systems for Disaster Response. 146–151. 4 indexed citations

Reily, Brian, Christopher Reardon, & Hao Zhang. (2020). Representing Multi-Robot Structure through Multimodal Graph Embedding for the Selection of Robot Teams. 5576–5582. 10 indexed citations

Lee, Kevin, Christopher Reardon, & Jonathan Fink. (2018). Augmented Reality in Human-Robot Cooperative Search. 1–1. 1 indexed citations

10.

Reardon, Christopher, et al.. (2018). Microstructure, Mechanical Properties and Welding of Low Carbon, Medium Manganese TWIP/TRIP Steel. Metals. 8(4). 263–263. 15 indexed citations

11.

Han, Fei, Xue Yang, Christopher Reardon, Yu Zhang, & Hao Zhang. (2017). Simultaneous Feature and Body-Part Learning for real-time robot awareness of human behaviors. 2. 2621–2628. 8 indexed citations

12.

Reardon, Christopher, Rachel Wright, David F. Cihak, & Lynne E. Parker. (2016). Intelligent Context-Aware Augmented Reality to Teach Students with Intellectual and Developmental Disabilities.. The Florida AI Research Society. 505–509. 4 indexed citations

13.

Zhang, Hao, Christopher Reardon, Fei Han, & Lynne E. Parker. (2016). SRAC: Self-Reflective Risk-Aware Artificial Cognitive models for robot response to human activities. 3301–3308. 2 indexed citations

14.

Reardon, Christopher, et al.. (2015). Towards safe robot-human collaboration systems using human pose detection. 1–6. 13 indexed citations

15.

Zhang, Hao, Christopher Reardon, Chi Zhang, & Lynne E. Parker. (2015). Adaptive human-centered representation for activity recognition of multiple individuals from 3D point cloud sequences. 1991–1998. 6 indexed citations

16.

Zhang, Hao, Wenjun Zhou, Christopher Reardon, & Lynne E. Parker. (2014). Simplex-Based 3D Spatio-temporal Feature Description for Action Recognition. 2067–2074. 31 indexed citations

17.

Reardon, Christopher, et al.. (2013). PoPLAR: Portal for Petascale Lifescience Applications and Research. BMC Bioinformatics. 14(S9). S3–S3. 9 indexed citations

18.

Parker, Lynne E., et al.. (2009). Using critical junctures and environmentally-dependent information for management of tightly-coupled cooperation in heterogeneous robot teams. 94. 2729–2736.

19.

Reardon, Christopher. (2008). Using Automated Task Solution Synthesis to Generate Critical Junctures for Management of Planned and Reactive Cooperation between a Human-Controlled Blimp and an Autonomous Ground Robot. 1 indexed citations

20.

Parker, Lynne E., Ben Birch, & Christopher Reardon. (2004). Indoor target intercept using an acoustic sensor network and dual wavefront path planning. 1. 278–283. 26 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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