David W. Paglieroni
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering
- Media Technology top 5%
- Ocean Engineering top 10%
- Computer Graphics and Computer-Aided Design top 5%
- Co-authors
- Anil K. JainGary E. FordN. Reginald BeerJeffrey E. MastDavid H. ChambersA. JainSamarjit SenguptaJeffrey C. Hanson
- Topics
- Medical Image Segmentation Techniques (12 papers)Optical measurement and interference techniques (9 papers)Image Retrieval and Classification Techniques (7 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignMedia Technology
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Geoscience and Remote SensingACM Transactions on Graphics
- Partner nations
- United StatesIsrael
In The Last Decade
David W. Paglieroni
32 papers receiving 351 citations
Peers
Comparison fields: 5 of 60
- Computer Vision and Pattern Recognition 279
- Aerospace Engineering 65
- Media Technology 57
- Ocean Engineering 51
- Computer Graphics and Computer-Aided Design 44
Countries citing papers authored by David W. Paglieroni
This map shows the geographic impact of David W. Paglieroni'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 David W. Paglieroni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David W. Paglieroni more than expected).
Fields of papers citing papers by David W. Paglieroni
This network shows the impact of papers produced by David W. Paglieroni. 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 David W. Paglieroni. The network helps show where David W. Paglieroni may publish in the future.
Co-authorship network of co-authors of David W. Paglieroni
This figure shows the co-authorship network connecting the top 25 collaborators of David W. Paglieroni. A scholar is included among the top collaborators of David W. Paglieroni 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 David W. Paglieroni. David W. Paglieroni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Buried object detection in GPR images | 0 |
| 2 | Spatially adaptive migration tomography for multistatic GPR imaging | 0 |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 31 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 6 | |
| 12 | 5 | |
| 13 | 8 | |
| 14 | 16 | |
| 15 | 1 | |
| 16 | 15 | |
| 17 | 5 | |
| 18 | 35 | |
| 19 | 11 | |
| 20 | 16 |
About David W. Paglieroni
David W. Paglieroni is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computer Graphics and Computer-Aided Design, having authored 36 papers that have together received 396 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (12 papers), Optical measurement and interference techniques (9 papers) and Image Retrieval and Classification Techniques (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (279 citations), Computer Graphics and Computer-Aided Design (44 citations) and Media Technology (57 citations). David W. Paglieroni has collaborated with scholars based in United States and Israel. Frequent co-authors include Anil K. Jain, Gary E. Ford, N. Reginald Beer, Jeffrey E. Mast, David H. Chambers, Anil K. Jain, A. Jain, Samarjit Sengupta, Jeffrey C. Hanson and H.E. Martz. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and ACM Transactions on Graphics.
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.