Sheryl Brahnam
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 2%
- Molecular Biology
- Signal Processing top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Co-authors
- Loris NanniAlessandra LuminiStefano GhidoniAntonella De AngeliFrank Y. ShihChao-Fa ChuangCarlos N. SillaYandre M. G. Costa
- Topics
- Advanced Image and Video Retrieval Techniques (24 papers)Image Retrieval and Classification Techniques (20 papers)Machine Learning in Bioinformatics (18 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsPLoS ONE
- Partner nations
- United StatesItalyBrazil
In The Last Decade
Sheryl Brahnam
111 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Computer Vision and Pattern Recognition 1.3k
- Artificial Intelligence 752
- Molecular Biology 550
- Signal Processing 329
- Radiology, Nuclear Medicine and Imaging 290
Countries citing papers authored by Sheryl Brahnam
This map shows the geographic impact of Sheryl Brahnam'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 Sheryl Brahnam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheryl Brahnam more than expected).
Fields of papers citing papers by Sheryl Brahnam
This network shows the impact of papers produced by Sheryl Brahnam. 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 Sheryl Brahnam. The network helps show where Sheryl Brahnam may publish in the future.
Co-authorship network of co-authors of Sheryl Brahnam
This figure shows the co-authorship network connecting the top 25 collaborators of Sheryl Brahnam. A scholar is included among the top collaborators of Sheryl Brahnam 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 Sheryl Brahnam. Sheryl Brahnam 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 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 5 | |
| 11 | Ensemble of face/eye detectors for accurate automatic face detection | 1 |
| 12 | Region-based approaches and descriptors extracted from the co-occurrence matrix | 5 |
| 13 | 32 | |
| 14 | Selecting the best performing rotation invariant patterns in local binary/ternary patterns | 21 |
| 15 | Local Phase Quantization Texture Descriptor for Protein Classification. | 7 |
| 16 | 29 | |
| 17 | 8 | |
| 18 | Building Character for Artificial Conversational Agents: Ethos, Ethics, Believability, and Credibility | 24 |
| 19 | Neonatal Facial Pain Detection Using NNSOA and LSVM. | 17 |
| 20 | 93 |
About Sheryl Brahnam
Sheryl Brahnam is a scholar working on Developmental Biology, Computer Vision and Pattern Recognition and Media Technology, having authored 113 papers that have together received 3.3k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (24 papers), Image Retrieval and Classification Techniques (20 papers) and Machine Learning in Bioinformatics (18 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Developmental Biology (82 citations) and Media Technology (275 citations). Sheryl Brahnam has collaborated with scholars based in United States, Italy and Brazil. Frequent co-authors include Loris Nanni, Alessandra Lumini, Stefano Ghidoni, Antonella De Angeli, Frank Y. Shih, Chao-Fa Chuang, Carlos N. Silla, Yandre M. G. Costa, Michelangelo Paci and Emanuele Menegatti. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.
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.