Kim L. Boyer
- Computer Vision and Pattern Recognition top 0.5%
- Aerospace Engineering top 2%
- Media Technology top 0.5%
- Artificial Intelligence top 5%
- Environmental Engineering top 5%
- Co-authors
- Sudeep SarkarA.C. KakCem ÜnsalanLuciano SilvaOlga Regina Pereira BellonK. SenguptaMetin N. GürcanJun Kong
- Topics
- Advanced Vision and Imaging (27 papers)Robotics and Sensor-Based Localization (20 papers)Advanced Image and Video Retrieval Techniques (14 papers)
- Journals
- BloodIEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Geoscience and Remote Sensing
- Partner nations
- United StatesBrazilAustralia
In The Last Decade
Kim L. Boyer
104 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 147
- Computer Vision and Pattern Recognition 2.0k
- Aerospace Engineering 482
- Media Technology 476
- Artificial Intelligence 396
- Environmental Engineering 236
Countries citing papers authored by Kim L. Boyer
This map shows the geographic impact of Kim L. Boyer'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 Kim L. Boyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kim L. Boyer more than expected).
Fields of papers citing papers by Kim L. Boyer
This network shows the impact of papers produced by Kim L. Boyer. 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 Kim L. Boyer. The network helps show where Kim L. Boyer may publish in the future.
Co-authorship network of co-authors of Kim L. Boyer
This figure shows the co-authorship network connecting the top 25 collaborators of Kim L. Boyer. A scholar is included among the top collaborators of Kim L. Boyer 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 Kim L. Boyer. Kim L. Boyer 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 | 15 | |
| 3 | 12 | |
| 4 | 1 | |
| 5 | 116 | |
| 6 | 15 | |
| 7 | 2 | |
| 8 | 56 | |
| 9 | 17 | |
| 10 | 63 | |
| 11 | 16 | |
| 12 | 4 | |
| 13 | 19 | |
| 14 | Object recognition using large modelbases | 1 |
| 15 | County Welfare Department Liability for Handling Reports of Child Abuse | 1 |
| 16 | 15 | |
| 17 | 119 | |
| 18 | 261 | |
| 19 | Symbolic Stereo from Structural Descriptions. | 9 |
| 20 | Range Data Extraction and Interpretation by Structured Light | 16 |
About Kim L. Boyer
Kim L. Boyer is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Biophysics, having authored 113 papers that have together received 2.9k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (27 papers), Robotics and Sensor-Based Localization (20 papers) and Advanced Image and Video Retrieval Techniques (14 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.0k citations), Media Technology (476 citations) and Geology (200 citations). Kim L. Boyer has collaborated with scholars based in United States, Brazil and Australia. Frequent co-authors include Sudeep Sarkar, A.C. Kak, Cem Ünsalan, Luciano Silva, Olga Regina Pereira Bellon, K. Sengupta, Metin N. Gürcan, Jun Kong, Hiroyuki Shimada and Olcay Sertel. Their work appears in journals such as Blood, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Geoscience and Remote Sensing.
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.