Christopher Pal

8.4k citations
54 papers · 2.9k indexed · 2 hit papers · h-index 15

Impact in

Papers in

Christopher Pal

49 papers receiving 2.8k citations

Hit Papers

Deep Learning: A Primer for Radiologists 2017 · 788 citations
7882015202620182022250500750

Peers

Christopher Pal
Comparison fields: 5 of 162
  • Health Informatics 171
  • Computer Vision and Pattern Recognition 1.4k
  • Radiology, Nuclear Medicine and Imaging 685
  • Experimental and Cognitive Psychology 358
  • Artificial Intelligence 832
Replace Kai Ma with:
Kai Ma China
U. Raghavendra India
S. Kevin Zhou United States
Edward J. Ciaccio United States
Heye Zhang China
Özal Yıldırım Türkiye
Paweł Pławiak Poland
Jun Shi China
Shaoting Zhang United States
Ulaş Bağcı United States
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Citations per field
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Citations per year

Countries citing papers authored by Christopher Pal

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Pal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Deep Learning: A Primer for Radiologists
Hit paper breakdown →
2017788
2
Describing Videos by Exploiting Temporal Structure
Hit paper breakdown →
2015593
3 2015263
4 2015250
5 2017166
6 2020155
7
Data Mining, Fourth Edition: Practical Machine Learning Tools and Techniques
2016132
8 201995
9 201670
10
Cross Lingual Adaptation: An Experiment on Sentiment Classifications
201052
11 201748
12 201320
13 201020
14 201618
15 201115
16 201214
17 202013
18 201011
19
Focused Hierarchical RNNs for Conditional Sequence Processing
20189
20
Adversarial Mixup Resynthesizers
20199

About Christopher Pal

Christopher Pal is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Artificial Intelligence, Modeling and Simulation and Computational Mechanics, having authored 54 papers that have together received 2.9k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (8 papers), Advanced Image and Video Retrieval Techniques (8 papers), Multimodal Machine Learning Applications (7 papers), Face recognition and analysis (6 papers), Face and Expression Recognition (5 papers), Domain Adaptation and Few-Shot Learning (5 papers), Advanced Neural Network Applications (4 papers) and Video Analysis and Summarization (4 papers). The work is most often cited by research in Health Informatics (171 citations), Computer Vision and Pattern Recognition (1.4k citations), Radiology, Nuclear Medicine and Imaging (685 citations), Experimental and Cognitive Psychology (358 citations) and Artificial Intelligence (832 citations). Christopher Pal has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Aaron Courville, Samuel Kadoury, Eugene Vorontsov, An Tang, Simon Turcotte, Atousa Torabi, Hugo Larochelle, Phillip M. Cheng, Gabriel Chartrand and Michal Drozdzal. Their work appears in journals such as Image and Vision Computing, Pattern Recognition, International Journal of Computer Vision, Radiology Artificial Intelligence and Machine Vision and Applications.

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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