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.
A Statistical Approach to Texture Classification from Single Images
2005849 citationsManik Varma, Andrew ZissermanInternational Journal of Computer Visionprofile →
Multiple kernels for object detection
2009499 citationsManik Varma, Andrew Zisserman et al.profile →
A Statistical Approach to Material Classification Using Image Patch Exemplars
2009432 citationsManik Varma, Andrew ZissermanIEEE Transactions on Pattern Analysis and Machine Intelligenceprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Manik Varma'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 Manik Varma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manik Varma more than expected).
This network shows the impact of papers produced by Manik Varma. 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 Manik Varma. The network helps show where Manik Varma may publish in the future.
Co-authorship network of co-authors of Manik Varma
This figure shows the co-authorship network connecting the top 25 collaborators of Manik Varma.
A scholar is included among the top collaborators of Manik Varma 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 Manik Varma. Manik Varma is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Dahiya, Kunal, Jian Jiao, Amit Singh, et al.. (2021). SiameseXML: Siamese Networks meet Extreme Classifiers with 100M Labels. International Conference on Machine Learning. 2330–2340.9 indexed citations
6.
Jain, Himanshu, et al.. (2019). Slice. 528–536.63 indexed citations
7.
Kumar, Ashish, et al.. (2017). Resource-efficient machine learning in 2 KB RAM for the internet of things. International Conference on Machine Learning. 1935–1944.89 indexed citations
8.
Goyal, Ankit, Harsha Vardhan Simhadri, Bhargavi Paranjape, et al.. (2017). ProtoNN: compressed and accurate kNN for resource-scarce devices. 1331–1340.62 indexed citations
9.
Bhatia, Kush, Himanshu Jain, Purushottam Kar, Manik Varma, & Prateek Jain. (2015). Sparse local embeddings for extreme multi-label classification. Neural Information Processing Systems. 28. 730–738.176 indexed citations
Jose, Cijo, et al.. (2013). Local Deep Kernel Learning for Efficient Non-linear SVM Prediction. International Conference on Machine Learning. 486–494.53 indexed citations
13.
Hariharan, Bharath, Lihi Zelnik‐Manor, Manik Varma, & S. V. N. Vishwanathan. (2010). Large Scale Max-Margin Multi-Label Classification with Priors. International Conference on Machine Learning. 423–430.93 indexed citations
14.
Sun, Zhaonan, et al.. (2010). Multiple Kernel Learning and the SMO Algorithm. Neural Information Processing Systems. 23. 2361–2369.110 indexed citations
15.
Campos, Teófilo de, et al.. (2009). CHARACTER RECOGNITION IN NATURAL IMAGES. View. 273–280.298 indexed citations
16.
Varma, Manik & Andrew Zisserman. (2009). A Statistical Approach to Material Classification Using Image Patch Exemplars. IEEE Transactions on Pattern Analysis and Machine Intelligence. 31(11). 2032–2047.432 indexed citations breakdown →
Varma, Manik & Andrew Zisserman. (2005). A Statistical Approach to Texture Classification from Single Images. International Journal of Computer Vision. 62(1-2). 61–81.849 indexed citations breakdown →
20.
Varma, Manik & Andrew Zisserman. (2002). Statistical Approaches to Material Classification.. 167–172.11 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.