Pedro F. Felzenszwalb

27.8k citations
39 papers · 18.1k · 7 hit papers · h-index 25

Impact in

    • Advanced Image and Video Retrieval Techniques
    • Video Surveillance and Tracking Methods
    • Advanced Neural Network Applications
    • Human Pose and Action Recognition
    • Advanced Vision and Imaging
    • Image Retrieval and Classification Techniques
    • Medical Image Segmentation Techniques

Papers in

    • Advanced Image and Video Retrieval Techniques 19
    • Medical Image Segmentation Techniques 14
    • Image Retrieval and Classification Techniques 11
    • Advanced Neural Network Applications 8
    • Advanced Vision and Imaging 7
    • Image and Object Detection Techniques 5
    • Digital Image Processing Techniques 5

Pedro F. Felzenszwalb

37 papers receiving 17.2k citations

Pedro F. Felzenszwalb's Hit Papers

2012 · 426 citations
4260+7+14Years since publication2.0k4.0k6.0k

Peers

Pedro F. Felzenszwalb
Comparison fields: 5 of 177
  • Computer Vision and Pattern Recognition 15.6k
  • Media Technology 2.0k
  • Human-Computer Interaction 682
  • Aerospace Engineering 2.4k
  • Artificial Intelligence 3.0k
Replace Haibin Ling with:
Haibin Ling United States
Larry S. Davis United States
Zhuowen Tu United States
Stefan Roth Germany
Mark Everingham United Kingdom
Wanli Ouyang China
Ali Farhadi United States
Philip H. S. Torr United Kingdom
Xiang Bai China
Bastian Leibe Germany
Pedro F. Felzenszwalb relative to Haibin Ling United States Haibin Ling's profile →
Citations per field
00.5×1.5×
Haibin Ling · 1×
Citations per year

Countries citing papers authored by Pedro F. Felzenszwalb

Since Specialization
Citations

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

Fields of papers citing papers by Pedro F. Felzenszwalb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pedro F. Felzenszwalb. 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 Pedro F. Felzenszwalb. The network helps show where Pedro F. Felzenszwalb may publish in the future.

Co-authors

The 25 scholars most cited alongside Pedro F. Felzenszwalb, 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 Pedro F. Felzenszwalb Line = papers co-authored together Pedro F. Felzenszwalb links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Object Detection with Discriminatively Trained Part-Based Models
Hit paper breakdown →
20096598
2
Efficient Graph-Based Image Segmentation
Hit paper breakdown →
20044149
3
A discriminatively trained, multiscale, deformable part model
Hit paper breakdown →
20081948
4
Pictorial Structures for Object Recognition
Hit paper breakdown →
20041379
5
Efficient Belief Propagation for Early Vision
Hit paper breakdown →
2006901
6
Cascade object detection with deformable part models
Hit paper breakdown →
2010642
7
Hit paper breakdown →
2012426
8 2004320
9 2007235
10 2002214
11 2005176
12
Object Detection with Grammar Models
2011151
13 2002139
14 2010115
15 2012102
16 2005100
17 200262
18 200653
19 200550
20
Fast Algorithms for Large-State-Space HMMs with Applications to Web Usage Analysis
200340

About Pedro F. Felzenszwalb

Pedro F. Felzenszwalb is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Computational Mechanics and Biophysics, having authored 39 papers that have together received 18.1k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (19 papers), Medical Image Segmentation Techniques (14 papers), Image Retrieval and Classification Techniques (11 papers), Advanced Neural Network Applications (8 papers), Advanced Vision and Imaging (7 papers), Robotics and Sensor-Based Localization (6 papers), Image and Object Detection Techniques (5 papers) and Digital Image Processing Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (15.6k citations), Media Technology (2.0k citations), Human-Computer Interaction (682 citations), Aerospace Engineering (2.4k citations) and Artificial Intelligence (3.0k citations). Pedro F. Felzenszwalb has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Daniel P. Huttenlocher, David McAllester, Deva Ramanan, Ross Girshick, D.P. Huttenlocher, Joshua D. Schwartz, David Crandall, Ramin Zabih, Olga Veksler and Trevor Darrell. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision, Communications of the ACM, Optics Express and Theory of Computing.

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.

Explore authors with similar magnitude of impact