Ana B. Benitez
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Signal Processing top 10%
- Information Systems
- Molecular Biology
- Co-authors
- Shih‐Fu ChangJohn R. SmithMandis BeigiAlejandro JaimesCorinne JörgensenAtul PuriCharles N. JudiceChung‐Sheng Li
- Topics
- Image Retrieval and Classification Techniques (14 papers)Video Analysis and Summarization (14 papers)Advanced Image and Video Retrieval Techniques (12 papers)
- Journals
- Communications of the ACMSignal Processing Image CommunicationComputer Standards & Interfaces
- Partner nations
- United StatesSpain
In The Last Decade
Ana B. Benitez
16 papers receiving 350 citations
Peers
Comparison fields: 5 of 42
- Computer Vision and Pattern Recognition 342
- Artificial Intelligence 65
- Signal Processing 52
- Information Systems 37
- Molecular Biology 27
Countries citing papers authored by Ana B. Benitez
This map shows the geographic impact of Ana B. Benitez'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 Ana B. Benitez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ana B. Benitez more than expected).
Fields of papers citing papers by Ana B. Benitez
This network shows the impact of papers produced by Ana B. Benitez. 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 Ana B. Benitez. The network helps show where Ana B. Benitez may publish in the future.
Co-authorship network of co-authors of Ana B. Benitez
This figure shows the co-authorship network connecting the top 25 collaborators of Ana B. Benitez. A scholar is included among the top collaborators of Ana B. Benitez 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 Ana B. Benitez. Ana B. Benitez 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 | 2 | |
| 3 | 1 | |
| 4 | Automatic Multimedia Knowledge Discovery, Summarization and Evaluation | 16 |
| 5 | Multimedia knowledge integration, summarization and evaluation | 8 |
| 6 | 2 | |
| 7 | 9 | |
| 8 | 1 | |
| 9 | 12 | |
| 10 | 40 | |
| 11 | 36 | |
| 12 | 24 | |
| 13 | 46 | |
| 14 | 2 | |
| 15 | 5 | |
| 16 | 140 | |
| 17 | 49 |
About Ana B. Benitez
Ana B. Benitez is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 17 papers that have together received 393 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (14 papers), Video Analysis and Summarization (14 papers) and Advanced Image and Video Retrieval Techniques (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (342 citations), Signal Processing (52 citations) and Media Technology (18 citations). Ana B. Benitez has collaborated with scholars based in United States and Spain. Frequent co-authors include Shih‐Fu Chang, John R. Smith, Mandis Beigi, Alejandro Jaimes, Corinne Jörgensen, Atul Puri, Charles N. Judice, Chung‐Sheng Li, Qian Huang and Lawrence D. Bergman. Their work appears in journals such as Communications of the ACM, Signal Processing Image Communication and Computer Standards & Interfaces.
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.