Pablo Sprechmann
- Computer Vision and Pattern Recognition top 1%
- Computational Mechanics top 2%
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Media Technology top 2%
- Co-authors
- Guillermo SapiroIgnacio RamírezAlex BronsteinYonina C. EldarIgnacio Méndez RamírezGrégory RandallSriram SubramaniamAlberto Bartesaghi
- Topics
- Sparse and Compressive Sensing Techniques (9 papers)Speech and Audio Processing (9 papers)Blind Source Separation Techniques (8 papers)
- Partner nations
- United StatesIsraelUruguay
In The Last Decade
Pablo Sprechmann
35 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Computer Vision and Pattern Recognition 764
- Computational Mechanics 494
- Artificial Intelligence 415
- Signal Processing 250
- Media Technology 187
Countries citing papers authored by Pablo Sprechmann
This map shows the geographic impact of Pablo Sprechmann'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 Sprechmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pablo Sprechmann more than expected).
Fields of papers citing papers by Pablo Sprechmann
This network shows the impact of papers produced by Pablo Sprechmann. 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 Sprechmann. The network helps show where Pablo Sprechmann may publish in the future.
Co-authorship network of co-authors of Pablo Sprechmann
This figure shows the co-authorship network connecting the top 25 collaborators of Pablo Sprechmann. A scholar is included among the top collaborators of Pablo Sprechmann 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 Sprechmann. Pablo Sprechmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | Coverage as a Principle for Discovering Transferable Behavior in Reinforcement Learning | 1 |
| 3 | Agent57: Outperforming the Atari Human Benchmark | 71 |
| 4 | Accelerating Eulerian Fluid Simulation With Convolutional Networks | 9 |
| 5 | 28 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 9 | |
| 9 | Supervised Sparse Analysis and Synthesis Operators | 22 |
| 10 | Efficient supervised sparse analysis and synthesis operators | 6 |
| 11 | 8 | |
| 12 | 67 | |
| 13 | Learning Efficient Structured Sparse Models | 12 |
| 14 | 5 | |
| 15 | 90 | |
| 16 | 30 | |
| 17 | 135 | |
| 18 | 9 | |
| 19 | 3 | |
| 20 | Segmentación con información a priori de forma aplicada a Sistema de Valoración Cárnica | 1 |
About Pablo Sprechmann
Pablo Sprechmann is a scholar working on Computational Mathematics, Structural Biology and Signal Processing, having authored 36 papers that have together received 1.5k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (9 papers), Speech and Audio Processing (9 papers) and Blind Source Separation Techniques (8 papers). The work is most often cited by research in Structural Biology (110 citations), Computer Vision and Pattern Recognition (764 citations) and Computational Mechanics (494 citations). Pablo Sprechmann has collaborated with scholars based in United States, Israel and Uruguay. Frequent co-authors include Guillermo Sapiro, Ignacio Ramírez, Alex Bronstein, Yonina C. Eldar, Ignacio Méndez Ramírez, Grégory Randall, Sriram Subramaniam, Alberto Bartesaghi, Yann LeCun and Aditya Ramesh. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.
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.