Fernando Pereira

32.0k citations
375 papers · 18.1k · 10 hit papers · h-index 59

Impact in

Papers in

Fernando Pereira

352 papers receiving 16.7k citations

Fernando Pereira's Hit Papers

The Unreasonable Effectiveness of Data 2009 · 1.0k citations
1.0k0+11+22Years since publication50010001.5k2.0k

Peers

Fernando Pereira
Comparison fields: 5 of 204
  • Artificial Intelligence 10.6k
  • Computer Vision and Pattern Recognition 6.5k
  • Signal Processing 2.6k
  • Computer Graphics and Computer-Aided Design 446
  • Information Systems 1.4k
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Citations per field
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Citations per year

Countries citing papers authored by Fernando Pereira

Since Specialization
Citations

This map shows the geographic impact of Fernando Pereira'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 Fernando Pereira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Pereira more than expected).

Fields of papers citing papers by Fernando Pereira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando Pereira. 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 Fernando Pereira. The network helps show where Fernando Pereira may publish in the future.

Co-authors

The 25 scholars most cited alongside Fernando Pereira, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fernando Pereira Line = papers co-authored together Fernando Pereira links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 375 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A theory of learning from different domains
Hit paper breakdown →
20092015
2
Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classification
Hit paper breakdown →
20071319
3
The Unreasonable Effectiveness of Data
Hit paper breakdown →
20091024
4
Domain adaptation with structural correspondence learning
Hit paper breakdown →
2006991
5
Shallow parsing with conditional random fields
Hit paper breakdown →
2003849
6
Distributional clustering of English words
Hit paper breakdown →
1993644
7
Video coding with H.264/AVC: tools, performance, and complexity
Hit paper breakdown →
2004606
8
Weighted finite-state transducers in speech recognition
Hit paper breakdown →
2002566
9
Online large-margin training of dependency parsers
Hit paper breakdown →
2005556
10
Non-projective dependency parsing using spanning tree algorithms
Hit paper breakdown →
2005555
11 2008272
12
IMPROVING FRAME INTERPOLATION WITH SPATIAL MOTION SMOOTHING FOR PIXEL DOMAIN DISTRIBUTED VIDEO CODING
2005271
13
Learning Bounds for Domain Adaptation
2007216
14 1992189
15 2005172
16 2008162
17 2002152
18 1977148
19 2006139
20
Group Sparse Coding
2009136

About Fernando Pereira

Fernando Pereira is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Electrical and Electronic Engineering and Computational Mechanics, having authored 375 papers that have together received 18.1k indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (86 papers), Advanced Vision and Imaging (80 papers), Wireless Communication Security Techniques (56 papers), Natural Language Processing Techniques (51 papers), Topic Modeling (47 papers), Advanced Data Compression Techniques (45 papers), Video Analysis and Summarization (37 papers) and Image and Video Quality Assessment (32 papers). The work is most often cited by research in Artificial Intelligence (10.6k citations), Computer Vision and Pattern Recognition (6.5k citations), Signal Processing (2.6k citations), Computer Graphics and Computer-Aided Design (446 citations) and Information Systems (1.4k citations). Fernando Pereira has collaborated with scholars based in Portugal, United States and Switzerland. Frequent co-authors include John Blitzer, Ryan McDonald, Koby Crammer, Mark Dredze, Catarina Brites, João Ascenso, Fei Sha, Alex Kulesza, Peter Norvig and Alon Halevy. Their work appears in journals such as Signal Processing Image Communication, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Multimedia, IEEE Access and IEEE Transactions on Image Processing.

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.

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