Joseph DeGol
- Geology top 5%
- Computer Vision and Pattern Recognition top 10%
- Aerospace Engineering
- Building and Construction top 10%
- Civil and Structural Engineering
- Co-authors
- Mani Golparvar‐FardKevin HanTimothy BretlJae Yong LeeDerek HoiemAadeel AkhtarSudipta N. SinhaVictor Fragoso
- Topics
- Robotics and Sensor-Based Localization (7 papers)Advanced Vision and Imaging (6 papers)3D Surveying and Cultural Heritage (3 papers)
- Journals
- Journal of Construction Engineering and ManagementIEEE Robotics and Automation Letters2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Joseph DeGol
13 papers receiving 248 citations
Peers
Comparison fields: 5 of 38
- Geology 105
- Computer Vision and Pattern Recognition 94
- Aerospace Engineering 64
- Building and Construction 59
- Civil and Structural Engineering 56
Countries citing papers authored by Joseph DeGol
This map shows the geographic impact of Joseph DeGol'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 Joseph DeGol with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph DeGol more than expected).
Fields of papers citing papers by Joseph DeGol
This network shows the impact of papers produced by Joseph DeGol. 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 Joseph DeGol. The network helps show where Joseph DeGol may publish in the future.
Co-authorship network of co-authors of Joseph DeGol
This figure shows the co-authorship network connecting the top 25 collaborators of Joseph DeGol. A scholar is included among the top collaborators of Joseph DeGol 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 Joseph DeGol. Joseph DeGol is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 17 | |
| 4 | 17 | |
| 5 | 26 | |
| 6 | 11 | |
| 7 | 8 | |
| 8 | 6 | |
| 9 | 100 | |
| 10 | 43 | |
| 11 | 7 | |
| 12 | 2 | |
| 13 | 8 |
About Joseph DeGol
Joseph DeGol is a scholar working on Geology, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 13 papers that have together received 252 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (7 papers), Advanced Vision and Imaging (6 papers) and 3D Surveying and Cultural Heritage (3 papers). The work is most often cited by research in Geology (105 citations), Computer Vision and Pattern Recognition (94 citations) and Building and Construction (59 citations). Joseph DeGol has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Mani Golparvar‐Fard, Kevin Han, Timothy Bretl, Jae Yong Lee, Derek Hoiem, Aadeel Akhtar, Sudipta N. Sinha, Victor Fragoso, Chuhang Zou and Gang Hua. Their work appears in journals such as Journal of Construction Engineering and Management, IEEE Robotics and Automation Letters and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
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.