Kyle Olszewski

1.4k citations
21 papers · 936 · h-index 17

Impact in

Papers in

Kyle Olszewski

21 papers receiving 909 citations

Peers

Kyle Olszewski
Comparison fields: 5 of 102
  • Computer Graphics and Computer-Aided Design 200
  • Computer Vision and Pattern Recognition 627
  • Human-Computer Interaction 146
  • Computational Mechanics 249
  • Signal Processing 53
Replace Kunihiro Chihara with:
Kunihiro Chihara Japan
Camille Goudeseune United States
Lan Ma China
Maximilian Scherer Germany
Minjing Yu China
Rig Das Italy
Michael J. Black United States
Matthew Kyan Canada
Won-Hyung Lee South Korea
Ali Erol United States
Kyle Olszewski relative to Kunihiro Chihara Japan Kunihiro Chihara's profile →
Citations per field
00.5×11.6×
Kunihiro Chihara · 1×
Citations per year

Countries citing papers authored by Kyle Olszewski

Since Specialization
Citations

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

Fields of papers citing papers by Kyle Olszewski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kyle Olszewski, 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 Kyle Olszewski Line = papers co-authored together Kyle Olszewski links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015140
2 2016106
3 201899
4 201293
5 201180
6 202066
7 201758
8 202342
9 202242
10 201942
11 202231
12 202225
13 202021
14 202120
15 202219
16 202317
17 202016
18 201611
19 20164
20 20243

About Kyle Olszewski

Kyle Olszewski is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Computer Graphics and Computer-Aided Design, Control and Systems Engineering and Signal Processing, having authored 21 papers that have together received 936 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (10 papers), 3D Shape Modeling and Analysis (9 papers), Computer Graphics and Visualization Techniques (8 papers), Face recognition and analysis (5 papers), Generative Adversarial Networks and Image Synthesis (4 papers), Human Pose and Action Recognition (3 papers), Human Motion and Animation (2 papers) and Hand Gesture Recognition Systems (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (200 citations), Computer Vision and Pattern Recognition (627 citations), Human-Computer Interaction (146 citations), Computational Mechanics (249 citations) and Signal Processing (53 citations). Kyle Olszewski has collaborated with scholars based in United States, Canada and Saudi Arabia. Frequent co-authors include Hao Li, Shunsuke Saito, Sergey Tulyakov, Zeng Huang, Joseph J. Lim, Laura Trutoiu, Lingyu Wei, Chongyang Ma, Menglei Chai and Weikai Chen. Their work appears in journals such as ACM Transactions on Graphics, Metallomics, Journal of Neuroscience, Lecture notes in computer science and Rare & Special e-Zone (The Hong Kong University of Science and Technology).

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.

Explore authors with similar magnitude of impact