Todd M. Bacastow
- Media Technology top 5%
- Computer Vision and Pattern Recognition
- Aerospace Engineering
- Ocean Engineering
- Artificial Intelligence
- Co-authors
- Ronny HänschN. WeirRyan LewisFabio PacificiScott SoenenDavid B. HoganAdam Van EttenJacob Shermeyer
- Topics
- Remote-Sensing Image Classification (3 papers)Flood Risk Assessment and Management (2 papers)Anomaly Detection Techniques and Applications (2 papers)
- Journals
- Journal of Government InformationInternational Journal of Geographical Information Systems2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
- Partner nations
- United StatesGermany
In The Last Decade
Todd M. Bacastow
7 papers receiving 141 citations
Peers
Comparison fields: 5 of 36
- Media Technology 67
- Computer Vision and Pattern Recognition 57
- Aerospace Engineering 38
- Ocean Engineering 35
- Artificial Intelligence 25
Countries citing papers authored by Todd M. Bacastow
This map shows the geographic impact of Todd M. Bacastow'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 Todd M. Bacastow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Todd M. Bacastow more than expected).
Fields of papers citing papers by Todd M. Bacastow
This network shows the impact of papers produced by Todd M. Bacastow. 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 Todd M. Bacastow. The network helps show where Todd M. Bacastow may publish in the future.
Co-authorship network of co-authors of Todd M. Bacastow
This figure shows the co-authorship network connecting the top 25 collaborators of Todd M. Bacastow. A scholar is included among the top collaborators of Todd M. Bacastow 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 Todd M. Bacastow. Todd M. Bacastow is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 31 | |
| 5 | 100 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 9 |
About Todd M. Bacastow
Todd M. Bacastow is a scholar working on Media Technology, Geography, Planning and Development and Ocean Engineering, having authored 8 papers that have together received 146 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (3 papers), Flood Risk Assessment and Management (2 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Media Technology (67 citations), Computer Vision and Pattern Recognition (57 citations) and Ocean Engineering (35 citations). Todd M. Bacastow has collaborated with scholars based in United States and Germany. Frequent co-authors include Ronny Hänsch, N. Weir, Ryan Lewis, Fabio Pacifici, Scott Soenen, David B. Hogan, Adam Van Etten, Jacob Shermeyer, Jason Brown and Donna J. Peuquet. Their work appears in journals such as Journal of Government Information, International Journal of Geographical Information Systems and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
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.