Ivan Neulander

751 citations
12 papers · 350 · 1 hit paper · h-index 4

Impact in

Papers in

Journals
Canada Human-Computer Communications Society (1 paper)
Partner nations
United States

In The Last Decade

Ivan Neulander

6 papers receiving 332 citations

Ivan Neulander's Hit Papers

Deep Stereo: Learning to Predict New Views from the World's Imagery 2016 · 319 citations
3190+3+6Years since publication100200300

Peers

Ivan Neulander
Comparison fields: 5 of 35
  • Computer Graphics and Computer-Aided Design 120
  • Computer Vision and Pattern Recognition 322
  • Media Technology 68
  • Computational Mechanics 51
  • Aerospace Engineering 36
Replace Anita Sellent with:
Anita Sellent Germany
Jason Dourgarian United States
Zhoutong Zhang United States
Matthew DuVall United States
T. Takai Japan
Kevin Matzen United States
S. Moezzi United States
Yuval Bahat Israel
Ruizhi Shao China
Ben Weiss United States
Ivan Neulander relative to Anita Sellent Germany Anita Sellent's profile →
Citations per field
00.5×6.9×
Anita Sellent · 1×
Citations per year

Countries citing papers authored by Ivan Neulander

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Neulander

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 4 scholars most cited alongside Ivan Neulander, 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 Ivan Neulander Line = papers co-authored together Ivan Neulander links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown

About Ivan Neulander

Ivan Neulander is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Control and Systems Engineering, Computational Mechanics and Mathematical Physics, having authored 12 papers that have together received 350 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (7 papers), Advanced Vision and Imaging (5 papers), Image Enhancement Techniques (4 papers), Human Motion and Animation (2 papers), 3D Shape Modeling and Analysis (2 papers), Color Science and Applications (1 paper), Medical Image Segmentation Techniques (1 paper) and Soft Robotics and Applications (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (120 citations), Computer Vision and Pattern Recognition (322 citations), Media Technology (68 citations), Computational Mechanics (51 citations) and Aerospace Engineering (36 citations). Ivan Neulander has collaborated with scholars based in United States. Frequent co-authors include John P. Flynn, Noah Snavely, James Philbin and Michiel van de Panne. Their work appears in journals such as Canada Human-Computer Communications Society.

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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