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.
Switching Convolutional Neural Network for Crowd Counting
2017640 citationsDeepak Babu Sam, Shiv Surya et al.profile →
CrowdNet
2016342 citationsLokesh Boominathan, R. Venkatesh Babu 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 R. Venkatesh Babu
Since
Specialization
Citations
This map shows the geographic impact of R. Venkatesh Babu'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 R. Venkatesh Babu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Venkatesh Babu more than expected).
Fields of papers citing papers by R. Venkatesh Babu
This network shows the impact of papers produced by R. Venkatesh Babu. 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 R. Venkatesh Babu. The network helps show where R. Venkatesh Babu may publish in the future.
Co-authorship network of co-authors of R. Venkatesh Babu
This figure shows the co-authorship network connecting the top 25 collaborators of R. Venkatesh Babu.
A scholar is included among the top collaborators of R. Venkatesh Babu 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 R. Venkatesh Babu. R. Venkatesh Babu is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Jain, Saksham, et al.. (2020). Fusion of Deep and Non-Deep Methods for Fast Super-Resolution of Satellite Images. ePrints@IISc (Indian Institute of Science).
6.
Jampani, Varun, et al.. (2019). DIFFER: Moving Beyond 3D Reconstruction with Differentiable Feature Rendering. Computer Vision and Pattern Recognition. 18–24.5 indexed citations
Sarvadevabhatla, Ravi Kiran, et al.. (2018). Deep Sequential Multi-camera Feature Fusion for Person Re-identification.. arXiv (Cornell University).1 indexed citations
Babu, R. Venkatesh, et al.. (2017). k-NN Based Classification of Brain MRI Images using DWT and PCA to Detect Different Types of Brain Tumour. SHILAP Revista de lepidopterología. 6(9). 15–20.6 indexed citations
Pokkuluri, Kiran Sree & R. Venkatesh Babu. (2010). Identification of Promoter Region in Genomic DNA Using Cellular Automata Based Text Clustering. The International Arab Journal of Information Technology. 7. 75–78.8 indexed citations
20.
Babu, R. Venkatesh & K.R. Ramakrishnan. (2002). Background Sprite Generation Using MPEG Motion Vectors..2 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.