Sameer Agarwal

6.1k citations
35 papers · 3.6k indexed · 3 hit papers · h-index 20

Sameer Agarwal

34 papers receiving 3.4k citations

Hit Papers

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Peers

Sameer Agarwal
Comparison fields: 5 of 125
  • Computer Graphics and Computer-Aided Design 466
  • Geology 697
  • Computer Vision and Pattern Recognition 2.5k
  • Computational Mathematics 39
  • Aerospace Engineering 1.3k
Replace Michael Goesele with:
Michael Goesele Germany
Chi–Keung Tang Hong Kong
Patrick Pérez France
Renato Pajarola Switzerland
Avideh Zakhor United States
Yu‐Wing Tai China
Jianzhuang Liu China
Jan Puzicha Germany
Suresh K. Lodha United States
Michael Lindenbaum Israel
Sameer Agarwal relative to Michael Goesele Germany Michael Goesele's profile →
Citations per field
00.5×10×13×
Michael Goesele · 1×
Citations per year

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).

Fields of papers citing papers by Sameer Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Sameer Agarwal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sameer Agarwal Line = papers co-authored together Sameer Agarwal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Multiview Chirality
20201
2
Knowing when you're wrong: Building fast and reliable approximate query processing systems
20147
3
Blink and it's done: Interactive queries on very large data
20124
4
Re-optimizing data-parallel computing
2012129
5 201215
6 201217
7
Building Rome in a daybreakdown →
2011671
8
Multicore bundle adjustmentbreakdown →
2011587
9 201060
10
Building Rome in a daybreakdown →
2009684
11 200911
12
Generalized Non-metric Multidimensional Scaling.
200779
13
Devices that tell on you: privacy trends in consumer ubiquitous computing
200774
14 200719
15 200778
16 200712
17 200614
18 2003114
19 20036
20
Learning from Incomplete Data
20013

About Sameer Agarwal

Sameer Agarwal is a scholar working on Computational Mathematics, Computer Graphics and Computer-Aided Design and Computer Vision and Pattern Recognition, having authored 35 papers that have together received 3.6k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (15 papers), Robotics and Sensor-Based Localization (9 papers), Advanced Image and Video Retrieval Techniques (7 papers), Sparse and Compressive Sensing Techniques (6 papers), Computer Graphics and Visualization Techniques (5 papers), Medical Image Segmentation Techniques (3 papers), Color Science and Applications (3 papers) and Advanced Optimization Algorithms Research (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (466 citations), Geology (697 citations) and Computer Vision and Pattern Recognition (2.5k citations). Sameer Agarwal has collaborated with scholars based in United States, Sweden and United Kingdom. Frequent co-authors include Steven M. Seitz, Brian Curless, Noah Snavely, Richard Szeliski, Serge Belongie, Ian Simon, Changchang Wu, David Kriegman, Yasutaka Furukawa and Kristin Branson. Their work appears in journals such as International Journal of Computer Vision, ACM Transactions on Graphics, Communications of the ACM, Computer and Journal of Mathematical Imaging and Vision.

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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