Bilson Campana
- Signal Processing top 0.5%
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 5%
- Economics and Econometrics top 10%
- Computer Networks and Communications top 10%
- Co-authors
- Eamonn KeoghJesin ZakariaGustavo BatistaThanawin RakthanmanonAbdullah MueenBrandon WestoverQiang ZhuBing Hu
- Topics
- Time Series Analysis and Forecasting (5 papers)Music and Audio Processing (3 papers)Image Retrieval and Classification Techniques (3 papers)
- Journals
- Investigative Ophthalmology & Visual ScienceJournal of Insect BehaviorACM Transactions on Knowledge Discovery from Data
- Partner nations
- United StatesCanadaBrazil
In The Last Decade
Bilson Campana
15 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Signal Processing 763
- Artificial Intelligence 493
- Computer Vision and Pattern Recognition 183
- Economics and Econometrics 133
- Computer Networks and Communications 68
Countries citing papers authored by Bilson Campana
This map shows the geographic impact of Bilson Campana'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 Bilson Campana with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bilson Campana more than expected).
Fields of papers citing papers by Bilson Campana
This network shows the impact of papers produced by Bilson Campana. 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 Bilson Campana. The network helps show where Bilson Campana may publish in the future.
Co-authorship network of co-authors of Bilson Campana
This figure shows the co-authorship network connecting the top 25 collaborators of Bilson Campana. A scholar is included among the top collaborators of Bilson Campana 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 Bilson Campana. Bilson Campana is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Asynchronous Remote Adjudication for Grading Diabetic Retinopathy | 1 |
| 2 | Quality Control Challenges in Crowdsourcing Medical Labeling | 2 |
| 3 | 14 | |
| 4 | 52 | |
| 5 | 145 | |
| 6 | Data mining a trillion time series subsequences under dynamic time warping | 13 |
| 7 | 53 | |
| 8 | 4 | |
| 9 | 18 | |
| 10 | 6 | |
| 11 | Searching and mining trillions of time series subsequences under dynamic time warpingbreakdown → | 677 |
| 12 | 6 | |
| 13 | 9 | |
| 14 | 17 | |
| 15 | 36 |
About Bilson Campana
Bilson Campana is a scholar working on Developmental Biology, Signal Processing and Biophysics, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include Time Series Analysis and Forecasting (5 papers), Music and Audio Processing (3 papers) and Image Retrieval and Classification Techniques (3 papers). The work is most often cited by research in Signal Processing (763 citations), Artificial Intelligence (493 citations) and Computer Vision and Pattern Recognition (183 citations). Bilson Campana has collaborated with scholars based in United States, Canada and Brazil. Frequent co-authors include Eamonn Keogh, Jesin Zakaria, Gustavo Batista, Thanawin Rakthanmanon, Abdullah Mueen, Brandon Westover, Qiang Zhu, Bing Hu, Mohammad Shokoohi-Yekta and Yanping Chen. Their work appears in journals such as Investigative Ophthalmology & Visual Science, Journal of Insect Behavior and ACM Transactions on Knowledge Discovery from Data.
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.