Ronell Sicat

543 citations
16 papers · 364 · h-index 6

Impact in

Papers in

Ronell Sicat

14 papers receiving 353 citations

Peers

Ronell Sicat
Comparison fields: 5 of 68
  • Human-Computer Interaction 179
  • Computer Graphics and Computer-Aided Design 66
  • Computer Vision and Pattern Recognition 275
  • Computational Mathematics 4
  • Biophysics 18
Replace Dave Pape with:
Dave Pape United States
Arthur Nishimoto United States
Jorge Wagner Brazil
Lance Long United States
Joachim Diepstraten Germany
Wolfgang Strauß Germany
G.S. Schmidt United States
Nanxuan Zhao Hong Kong
Jung‐Hong Chuang Taiwan
Bret Jackson United States
Ronell Sicat relative to Dave Pape United States Dave Pape's profile →
Citations per field
00.5×9.5×
Dave Pape · 1×
Citations per year

Countries citing papers authored by Ronell Sicat

Since Specialization
Citations

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

Fields of papers citing papers by Ronell Sicat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2017154
2 2018135
3 201428
4 201215
5 20249
6 20206
7 20174
8 20134
9 20222
10 20212
11 20192
12 20251
13 20191
14 20241
15 20240
16 20260

About Ronell Sicat

Ronell Sicat is a scholar working on Computer Vision and Pattern Recognition, Biophysics, Computer Graphics and Computer-Aided Design, Human-Computer Interaction and Plant Science, having authored 16 papers that have together received 364 indexed citations. Recurring topics across this work include Advanced Fluorescence Microscopy Techniques (3 papers), Computer Graphics and Visualization Techniques (3 papers), Virtual Reality Applications and Impacts (2 papers), Data Visualization and Analytics (2 papers), Plant Stress Responses and Tolerance (2 papers), Cell Image Analysis Techniques (2 papers), Plant Molecular Biology Research (2 papers) and Silicon Effects in Agriculture (2 papers). The work is most often cited by research in Human-Computer Interaction (179 citations), Computer Graphics and Computer-Aided Design (66 citations), Computer Vision and Pattern Recognition (275 citations), Computational Mathematics (4 citations) and Biophysics (18 citations). Ronell Sicat has collaborated with scholars based in Saudi Arabia, United States and United Kingdom. Frequent co-authors include Hanspeter Pfister, Benjamin Bach, Maxime Cordeil, Johanna Beyer, Won‐Ki Jeong, Junyoung Choi, Markus Hadwiger, Torsten Möller, Jens Krüger and Jens Krüger. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, eLife, Langmuir, Computer Graphics Forum and ACM Transactions on Graphics.

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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