Gregory Shakhnarovich

8.0k citations
45 papers · 3.1k indexed · 2 hit papers · h-index 26
Topics
Advanced Image and Video Retrieval Techniques (16 papers)Multimodal Machine Learning Applications (8 papers)Human Pose and Action Recognition (6 papers)

In The Last Decade

Gregory Shakhnarovich

44 papers receiving 2.9k citations

Hit Papers

Recurrent Back-Projection Network for Video Super-Resol...201520262018202220192015100200300

Peers

Gregory Shakhnarovich
Comparison fields: 5 of 142
  • Computer Vision and Pattern Recognition 2.3k
  • Artificial Intelligence 819
  • Biomedical Engineering 376
  • Media Technology 291
  • Signal Processing 264
Replace Yiannis Aloimonos with:
Yiannis Aloimonos United States
Oncel Tuzel United States
Zhenyu He China
Cornelia Fermüller United States
Athanassios Skodras Greece
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Jan‐Mark Geusebroek Netherlands
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Gregory Shakhnarovich relative to Yiannis Aloimonos United States Yiannis Aloimonos's profile →
Citations per field
00.5×1.5×2.3×
Yiannis Aloimonos · 1×
Citations per year

Countries citing papers authored by Gregory Shakhnarovich

Since Specialization
Citations

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

Fields of papers citing papers by Gregory Shakhnarovich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gregory Shakhnarovich

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory Shakhnarovich. A scholar is included among the top collaborators of Gregory Shakhnarovich 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 Gregory Shakhnarovich. Gregory Shakhnarovich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 2
3 23
4
FractalNet: Ultra-Deep Neural Networks without Residuals.
163
5
Semantic keyword spotting by learning from images and speech.
2
6 26
7 91
8
Feedforward semantic segmentation with zoom-out featuresbreakdown →
296
9 7
10 42
11 76
12
Part Annotations via Pairwise Correspondence.
10
13
Sparse Coding for Learning Interpretable Spatio-Temporal Primitives
17
14 202
15 0
16
Nearest-Neighbor Methods in Learning and Vision: Theory and Practice (Neural Information Processing)
74
17
Inferring 3D Structure with a Statistical Image-Based Shape Model
29
18 45
19
Boosted Dyadic Kernel Discriminants
14
20
Smoothed Bootstrap and Statistical Data Cloning for Classifier Evaluation
6

About Gregory Shakhnarovich

Gregory Shakhnarovich is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Artificial Intelligence, having authored 45 papers that have together received 3.1k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (16 papers), Multimodal Machine Learning Applications (8 papers) and Human Pose and Action Recognition (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.3k citations), Human-Computer Interaction (185 citations) and Media Technology (291 citations). Gregory Shakhnarovich has collaborated with scholars based in United States, Switzerland and Japan. Frequent co-authors include Trevor Darrell, Payman Yadollahpour, Gustav Larsson, Michael Maire, Piotr Indyk, Muhammad Haris, Norimichi Ukita, Mohammadreza Mostajabi, Ruotian Luo and Paul Viola. Their work appears in journals such as Journal of Neuroscience, Bioinformatics and ACM Transactions on Graphics.

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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