Pablo Negri
- Computer Vision and Pattern Recognition top 5%
- Automotive Engineering top 10%
- Media Technology top 5%
- Ocean Engineering top 10%
- Electrical and Electronic Engineering
- Co-authors
- Xavier CladyLionel PrévostMuhammad Shehzad HanifDaniel R. ParisiLuciana BrunoMaurice MilgramTeresa Serrano‐GotarredonaB. Linares-Barranco
- Topics
- Video Surveillance and Tracking Methods (8 papers)Face recognition and analysis (5 papers)Advanced Image and Video Retrieval Techniques (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessPattern Recognition
In The Last Decade
Pablo Negri
24 papers receiving 348 citations
Peers
Comparison fields: 5 of 56
- Computer Vision and Pattern Recognition 229
- Automotive Engineering 56
- Media Technology 56
- Ocean Engineering 46
- Electrical and Electronic Engineering 44
Countries citing papers authored by Pablo Negri
This map shows the geographic impact of Pablo Negri'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 Pablo Negri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pablo Negri more than expected).
Fields of papers citing papers by Pablo Negri
This network shows the impact of papers produced by Pablo Negri. 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 Pablo Negri. The network helps show where Pablo Negri may publish in the future.
Co-authorship network of co-authors of Pablo Negri
This figure shows the co-authorship network connecting the top 25 collaborators of Pablo Negri. A scholar is included among the top collaborators of Pablo Negri 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 Pablo Negri. Pablo Negri 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 | 8 | |
| 3 | 7 | |
| 4 | 15 | |
| 5 | 19 | |
| 6 | 4 | |
| 7 | 13 | |
| 8 | 1 | |
| 9 | BENCHMARKING HAAR AND HISTOGRAMS OF ORIENTED GRADIENTS FEATURES APPLIED TO VEHICLE DETECTION | 0 |
| 10 | 26 | |
| 11 | 2 | |
| 12 | 9 | |
| 13 | 1 | |
| 14 | 39 | |
| 15 | 4 | |
| 16 | 12 | |
| 17 | Pedestrian detection on CAVIAR dataset using a mo vement feature space | 3 |
| 18 | 26 | |
| 19 | 18 | |
| 20 | 43 |
About Pablo Negri
Pablo Negri is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Media Technology, having authored 27 papers that have together received 363 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (8 papers), Face recognition and analysis (5 papers) and Advanced Image and Video Retrieval Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (229 citations), Media Technology (56 citations) and Automotive Engineering (56 citations). Pablo Negri has collaborated with scholars based in Argentina, France and Spain. Frequent co-authors include Xavier Clady, Lionel Prévost, Muhammad Shehzad Hanif, Daniel R. Parisi, Luciana Bruno, Maurice Milgram, Teresa Serrano‐Gotarredona, B. Linares-Barranco, A. Bottino and Sandro Cumani. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Pattern Recognition.
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.