Daniel Scharstein

21.7k total citations · 10 hit papers
41 papers, 13.4k citations indexed

About

Daniel Scharstein is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Media Technology. According to data from OpenAlex, Daniel Scharstein has authored 41 papers receiving a total of 13.4k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computer Vision and Pattern Recognition, 10 papers in Aerospace Engineering and 6 papers in Media Technology. Recurrent topics in Daniel Scharstein's work include Advanced Vision and Imaging (32 papers), Advanced Image Processing Techniques (15 papers) and Advanced Image and Video Retrieval Techniques (15 papers). Daniel Scharstein is often cited by papers focused on Advanced Vision and Imaging (32 papers), Advanced Image Processing Techniques (15 papers) and Advanced Image and Video Retrieval Techniques (15 papers). Daniel Scharstein collaborates with scholars based in United States, Germany and United Kingdom. Daniel Scharstein's co-authors include Rick Szeliski, Richard Szeliski, Heiko Hirschmüller, Steven M. Seitz, James Diebel, Brian Curless, Ramin Zabih, Chris Pal, John Lewis and Stefan Roth and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Graphics and International Journal of Computer Vision.

In The Last Decade

Daniel Scharstein

41 papers receiving 12.7k citations

Hit Papers

A Taxonomy and Evaluation of Dense Two-Frame Stereo Corre... 2002 2026 2010 2018 2002 2006 2010 2003 2007 1000 2.0k 3.0k 4.0k

Peers

Daniel Scharstein
Comparison fields: 5 of 142
  • Computer Vision and Pattern Recognition 11.9k
  • Media Technology 3.0k
  • Aerospace Engineering 2.7k
  • Computer Graphics and Computer-Aided Design 1.1k
  • Geology 984
Replace Sing Bing Kang with:
Sing Bing Kang United States
Ramin Zabih United States
Long Quan China
Roberto Cipolla United Kingdom
Vladimir Kolmogorov United Kingdom
Rick Szeliski United States
In So Kweon South Korea
Stefano Soatto United States
Katsushi Ikeuchi Japan
Narendra Ahuja United States
Sing Bing Kang United States View profile →
Citations per field, relative to Daniel Scharstein
Daniel Scharstein · 1×
Citations per year, relative to Daniel Scharstein
Daniel Scharstein · 1×

Countries citing papers authored by Daniel Scharstein

Since Specialization
Citations

This map shows the geographic impact of Daniel Scharstein'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 Daniel Scharstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Scharstein more than expected).

Fields of papers citing papers by Daniel Scharstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Scharstein. 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 Daniel Scharstein. The network helps show where Daniel Scharstein may publish in the future.

Co-authorship network of co-authors of Daniel Scharstein

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Scharstein. A scholar is included among the top collaborators of Daniel Scharstein 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 Daniel Scharstein. Daniel Scharstein is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 66
2 18
3 84
4 83
5 12
6 92
7
A Database and Evaluation Methodology for Optical Flow breakdown →
1329
8 18
9
Evaluation of Stereo Matching Costs on Images with Radiometric Differences breakdown →
511
10
A Comparative Study of Energy Minimization Methods for Markov Random Fields with Smoothness-Based Priors breakdown →
643
11
Evaluation of Cost Functions for Stereo Matching breakdown →
767
12
Learning Conditional Random Fields for Stereo breakdown →
599
13 59
14 54
15 34
16 76
17 11
18 161
19 1
20 68

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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