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.
Building Rome in a day
2009684 citationsSameer Agarwal, Noah Snavely et al.profile →
Building Rome in a day
2011671 citationsSameer Agarwal, Yasutaka Furukawa et al.Communications of the ACMprofile →
Multicore bundle adjustment
2011587 citationsChangchang Wu, Sameer Agarwal 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 Sameer Agarwal
Since
Specialization
Citations
This map shows the geographic impact of Sameer Agarwal'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 Sameer Agarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sameer Agarwal more than expected).
This network shows the impact of papers produced by Sameer Agarwal. 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 Sameer Agarwal. The network helps show where Sameer Agarwal may publish in the future.
Co-authorship network of co-authors of Sameer Agarwal
This figure shows the co-authorship network connecting the top 25 collaborators of Sameer Agarwal.
A scholar is included among the top collaborators of Sameer Agarwal 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 Sameer Agarwal. Sameer Agarwal is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Agarwal, Sameer, Henry Milner, Ariel Kleiner, et al.. (2014). Knowing when you're wrong: Building fast and reliable approximate query processing systems. DSpace@MIT (Massachusetts Institute of Technology).7 indexed citations
4.
Agarwal, Sameer, Srikanth Kandula, Nicolas Bruno, et al.. (2012). Re-optimizing data-parallel computing. UC Berkeley. 21–21.129 indexed citations
5.
Agarwal, Sameer, Anand Iyer, Aurojit Panda, et al.. (2012). Blink and it's done: Interactive queries on very large data. DSpace@MIT (Massachusetts Institute of Technology).4 indexed citations
Agarwal, Sameer, Yasutaka Furukawa, Noah Snavely, et al.. (2011). Building Rome in a day. Communications of the ACM. 54(10). 105–112.671 indexed citations breakdown →
9.
Wu, Changchang, Sameer Agarwal, Brian Curless, & Steven M. Seitz. (2011). Multicore bundle adjustment. 3057–3064.587 indexed citations breakdown →
Saponas, T. Scott, Jonathan Lester, Carl Hartung, Sameer Agarwal, & Tadayoshi Kohno. (2007). Devices that tell on you: privacy trends in consumer ubiquitous computing. USENIX Security Symposium. 5.74 indexed citations
14.
Agarwal, Sameer, Josh Wills, Lawrence Cayton, et al.. (2007). Generalized Non-metric Multidimensional Scaling.. International Conference on Artificial Intelligence and Statistics. 11–18.79 indexed citations
Agarwal, Sameer, Ravi Ramamoorthi, Serge Belongie, & Henrik Wann Jensen. (2003). Structured importance sampling of environment maps. Research at the University of Copenhagen (University of Copenhagen). 605–612.114 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.