Chester Dolph

621 total citations
37 papers, 205 citations indexed

About

Chester Dolph is a scholar working on Aerospace Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chester Dolph has authored 37 papers receiving a total of 205 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Aerospace Engineering, 12 papers in Artificial Intelligence and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chester Dolph's work include Air Traffic Management and Optimization (21 papers), Target Tracking and Data Fusion in Sensor Networks (10 papers) and Robotics and Sensor-Based Localization (9 papers). Chester Dolph is often cited by papers focused on Air Traffic Management and Optimization (21 papers), Target Tracking and Data Fusion in Sensor Networks (10 papers) and Robotics and Sensor-Based Localization (9 papers). Chester Dolph collaborates with scholars based in United States, Italy and Ghana. Chester Dolph's co-authors include Khan M. Iftekharuddin, Corey A. Ippolito, Thomas Lombaerts, Mahbubul Alam, Manar D. Samad, Louis J. Glaab, Vahram Stepanyan, B. Danette Allen, Andrew Moore and Glenn A. Woodell and has published in prestigious journals such as Journal of Aerospace Information Systems, 2018 Aviation Technology, Integration, and Operations Conference and NASA STI Repository (National Aeronautics and Space Administration).

In The Last Decade

Chester Dolph

32 papers receiving 202 citations

Peers

Chester Dolph

AE

CVPR

AI

NEURO

EE

Morteza Valizadeh Iran

Stefan Milz Germany

Fuad Noman Malaysia

Amanullah Yasin Pakistan

Jilin Mei China

Yilong Niu China

Hotaka Takizawa Japan

Pavan Kumar Anasosalu Vasu United States

J. Arunnehru India

Yuanyao Lu China

Morteza Valizadeh Iran

Chester Dolph

44 ×0.3

AE

116 ×2.1

CVPR

48 ×1.0

AI

17 ×0.5

NEURO

8 ×0.3

EE

Citations per year, relative to Chester Dolph Chester Dolph (= 1×) peers Morteza Valizadeh

Countries citing papers authored by Chester Dolph

Since Specialization

Citations

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

Fields of papers citing papers by Chester Dolph

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chester Dolph

This figure shows the co-authorship network connecting the top 25 collaborators of Chester Dolph. A scholar is included among the top collaborators of Chester Dolph 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 Chester Dolph. Chester Dolph 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

1.

Ippolito, Corey A., et al.. (2025). Enabling Smart Urban Airspaces Through Distributed Sensing Technologies.

2.

Lombaerts, Thomas, et al.. (2025). Considerations for Optimal Sensor Placement for Higher Accuracy Object Localization for Urban Air Mobility.

3.

Dolph, Chester, Thomas Lombaerts, Vahram Stepanyan, et al.. (2025). Distributed Vision Sensing of Small Uncrewed Aircraft Systems in Urban Traffic Corridors.

4.

Lombaerts, Thomas, et al.. (2025). Vision-Based Distributed Sensing at Vertiports for Advanced Air Mobility and Urban Air Mobility Approach and Landing.

5.

Causa, Flavia, Roberto Opromolla, Giancarmine Fasano, et al.. (2024). Distributed Visual Sensing and Fusion for Advanced Air Mobility. 1–8.

6.

Lombaerts, Thomas, et al.. (2024). Development and Field Test Results of Distributed Ground-Based Sensor Fusion Object Tracking. 5 indexed citations

7.

Stepanyan, Vahram, et al.. (2024). Flight Test Design and Implementation for Independent Surveillance of an Airspace Through a Distributed Ground Sensing Network. 2 indexed citations

8.

Dolph, Chester, Corey A. Ippolito, Louis J. Glaab, et al.. (2023). Adversarial Learning Improves Vision-Based Perception from Drones with Imbalanced Datasets. Journal of Aerospace Information Systems. 20(8). 489–507. 5 indexed citations

9.

Causa, Flavia, Roberto Opromolla, Giancarmine Fasano, et al.. (2023). Assessing Performance of Radar and Visual Sensing Techniques for Ground-To-Air Surveillance in Advanced Air Mobility. 7. 1–10. 4 indexed citations

10.

Dolph, Chester, et al.. (2023). Position Correlated Vision Dataset from Multirotor and Fixed-wing sUAS of General Aviation, Fixed-wing sUAS, Multirotor sUAS, and Birds. 1–8. 1 indexed citations

11.

Ippolito, Corey A., et al.. (2023). Distributed Sensing and Advanced Perception Technologies to Enable Advanced Air Mobility. AIAA SCITECH 2023 Forum. 3 indexed citations

12.

Dolph, Chester, et al.. (2023). Simulated Vision-based Approach and Landing System for Advanced Air Mobility. AIAA SCITECH 2023 Forum. 8 indexed citations

13.

Dolph, Chester, et al.. (2023). Classifying Aircraft using Velocity Data with Support Vector Machines and Likelihood Ratio Tests. AIAA SCITECH 2023 Forum. 2 indexed citations

14.

Roy, Sandip, et al.. (2022). Using Trajectory Smoothness Metrics to Identify Drones in Radar Track Data. AIAA AVIATION 2022 Forum. 2 indexed citations

15.

Dolph, Chester, et al.. (2022). Aerial Object Trajectory Classification by Training on Flight Controller Data and Testing on RADAR Generated Tracks. AIAA SCITECH 2022 Forum. 4 indexed citations

16.

Stepanyan, Vahram, Thomas Lombaerts, Chester Dolph, Nick B. Cramer, & Corey A. Ippolito. (2022). Estimation With Range Depended Sensor Model. AIAA SCITECH 2022 Forum. 3 indexed citations

17.

Glaab, Louis J., et al.. (2018). Safe2Ditch Autonomous Crash Management System for Small Unmanned Aerial Systems: Concept Definition and Flight Test Results. NASA Technical Reports Server (NASA). 6 indexed citations

18.

Dolph, Chester, Loc Tran, & B. Danette Allen. (2018). Towards Explainability of UAV-Based Convolutional Neural Networks for Object Classification. 2018 Aviation Technology, Integration, and Operations Conference. 6 indexed citations

19.

Dolph, Chester, et al.. (2017). Sense and Avoid for Small Unmanned Aircraft Systems. NASA STI Repository (National Aeronautics and Space Administration). 8 indexed citations

20.

Dolph, Chester, et al.. (2017). Deep learning of texture and structural features for multiclass Alzheimer's disease classification. 2259–2266. 47 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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