Ronald Barber
Impact in
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- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
- Video Analysis and Summarization
- Signal Processing top 2%
- Data Management and Algorithms
Papers in
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- Data Management and Algorithms 8
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- Advanced Database Systems and Queries 8
- Advanced Data Storage Technologies 7
- Distributed systems and fault tolerance 4
- Co-authors
- W. NiblackDragutin PetkovićMyron FlicknerJohn W. HafnerW. EquitzChristos FaloutsosRichard SidleGuy M. Lohman
- Journals
- Proceedings of the VLDB Endowment (5 papers)Journal of Intelligent Information Systems (1 paper)IT University Of Copenhagen (IT University of Copenhagen) (3 papers)Conference on Innovative Data Systems Research (1 paper)
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Ronald Barber
16 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 59
- Computer Vision and Pattern Recognition 791
- Signal Processing 365
- Computer Networks and Communications 363
- Hardware and Architecture 61
- Media Technology 67
Countries citing papers authored by Ronald Barber
This map shows the geographic impact of Ronald Barber'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 Ronald Barber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ronald Barber more than expected).
Fields of papers citing papers by Ronald Barber
This network shows the impact of papers produced by Ronald Barber. 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 Ronald Barber. The network helps show where Ronald Barber may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ronald Barber, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 6 | |
| 2 | 2019 | 6 | |
| 3 | 2019 | 29 | |
| 4 | 2019 | 1 | |
| 5 | 2019 | 5 | |
| 6 | 2018 | 1 | |
| 7 | Evolving Databases for New-Gen Big Data Applications. | 2017 | 9 |
| 8 | 2016 | 7 | |
| 9 | 2015 | 15 | |
| 10 | 2014 | 15 | |
| 11 | 2014 | 61 | |
| 12 | 2013 | 182 | |
| 13 | 2002 | 7 | |
| 14 | 2002 | 10 | |
| 15 | 2002 | 8 | |
| 16 | Efficient and effective Querying by Image Content Hit paper breakdown → | 1994 | 831 |
About Ronald Barber
Ronald Barber is a scholar working on Signal Processing, Computer Networks and Communications, Hardware and Architecture, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 16 papers that have together received 1.2k indexed citations. Recurring topics across this work include Data Management and Algorithms (8 papers), Advanced Database Systems and Queries (8 papers), Advanced Data Storage Technologies (7 papers), Algorithms and Data Compression (6 papers), Advanced Image and Video Retrieval Techniques (4 papers), Distributed systems and fault tolerance (4 papers), Image Retrieval and Classification Techniques (4 papers) and Parallel Computing and Optimization Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (791 citations), Signal Processing (365 citations), Computer Networks and Communications (363 citations), Hardware and Architecture (61 citations) and Media Technology (67 citations). Ronald Barber has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include W. Niblack, Dragutin Petković, Myron Flickner, John W. Hafner, W. Equitz, Christos Faloutsos, Richard Sidle, Guy M. Lohman, Sam Lightstone and Ippokratis Pandis. Their work appears in journals such as Proceedings of the VLDB Endowment, Journal of Intelligent Information Systems, IT University Of Copenhagen (IT University of Copenhagen) and Conference on Innovative Data Systems Research.
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.