Ivan Neulander

688 citations
7 papers · 450 · 1 hit paper · h-index 2

Impact in

Papers in

Journals
IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings (1 paper)ACM SIGGRAPH Talks (2 papers)Proceedings (1 paper)
Partner nations
United States

In The Last Decade

Ivan Neulander

5 papers receiving 432 citations

Ivan Neulander's Hit Papers

Deep Stereo: Learning to Predict New Views from the World's Imagery 2016 · 433 citations
4330+3+6Years since publication100200300400

Peers

Ivan Neulander
Comparison fields: 5 of 24
  • Computer Graphics and Computer-Aided Design 72
  • Computer Vision and Pattern Recognition 364
  • Computational Mechanics 94
  • Signal Processing 11
  • Geology 7
Replace Xiaoyang Lyu with:
Xiaoyang Lyu Hong Kong
Anita Sellent Germany
Roy Or-El United States
Miguel Granados Germany
Shih-Yang Su Taiwan
Ayush Saraf United States
Haozhi Huang China
Ang Cao United States
Thu Nguyen-Phuoc United States
Gwangbin Bae United Kingdom
Ivan Neulander relative to Xiaoyang Lyu Hong Kong Xiaoyang Lyu's profile →
Citations per field
00.5×2×3×4×
Xiaoyang Lyu · 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 3 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

7 of 7 papers shown
#Work
1
Deep Stereo: Learning to Predict New Views from the World's Imagery
Hit paper breakdown →
2016433
2 19989
3 20032
4 20092
5 20102
6 20031
7 20081

About Ivan Neulander

Ivan Neulander is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 7 papers that have together received 450 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (5 papers) and Advanced Vision and Imaging (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (72 citations), Computer Vision and Pattern Recognition (364 citations), Computational Mechanics (94 citations), Signal Processing (11 citations) and Geology (7 citations). Ivan Neulander has collaborated with scholars based in United States. Frequent co-authors include Noah Snavely, James F. Philbin and Michiel van de Panne. Their work appears in journals such as IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings, ACM SIGGRAPH Talks and Proceedings.

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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