Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Recurrent Back-Projection Network for Video Super-Resolution
2019324 citationsGregory Shakhnarovich et al.profile →
Feedforward semantic segmentation with zoom-out features
2015296 citationsMohammadreza Mostajabi, Payman Yadollahpour et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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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
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.
Maji, Subhransu & Gregory Shakhnarovich. (2012). Part Annotations via Pairwise Correspondence.. National Conference on Artificial Intelligence.10 indexed citations
13.
Kim, Tae-Hwan, Gregory Shakhnarovich, & Raquel Urtasun. (2010). Sparse Coding for Learning Interpretable Spatio-Temporal Primitives. Scholarworks@UNIST (Ulsan National Institute of Science and Technology). 23. 1117–1125.17 indexed citations
Shakhnarovich, Gregory, Trevor Darrell, & Piotr Indyk. (2006). Nearest-Neighbor Methods in Learning and Vision: Theory and Practice (Neural Information Processing). The MIT Press eBooks.74 indexed citations
16.
Grauman, Kristen, Gregory Shakhnarovich, & Trevor Darrell. (2003). Inferring 3D Structure with a Statistical Image-Based Shape Model. DSpace@MIT (Massachusetts Institute of Technology).29 indexed citations
Shakhnarovich, Gregory, Ran El‐Yaniv, & Yoram Baram. (2001). Smoothed Bootstrap and Statistical Data Cloning for Classifier Evaluation. International Conference on Machine Learning. 521–528.6 indexed citations
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.