Jonathan Palacios

618 citations
21 papers · 471 · h-index 8

Impact in

Papers in

Jonathan Palacios

18 papers receiving 462 citations

Peers

Jonathan Palacios
Comparison fields: 5 of 58
  • Computer Graphics and Computer-Aided Design 384
  • Computational Mechanics 355
  • Computational Mathematics 5
  • Computer Vision and Pattern Recognition 93
  • Architecture 5
Replace Masanori Kakimoto with:
Masanori Kakimoto Japan
Marie‐Paule Gascuel France
François Labelle United States
Bryan M. Klingner United States
U. Diewald Germany
Felix Knöppel Germany
Günter Knittel Germany
Michael Holroyd United States
Michael Lentine United States
Nadav Dym Israel
Jonathan Palacios relative to Masanori Kakimoto Japan Masanori Kakimoto's profile →
Citations per field
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Masanori Kakimoto · 1×
Citations per year

Countries citing papers authored by Jonathan Palacios

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Palacios

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Jonathan Palacios, 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 Jonathan Palacios Line = papers co-authored together Jonathan Palacios 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 2007133
2 2007123
3 200957
4 201156
5 201028
6 201515
7 201712
8 201011
9 20237
10 20167
11 20236
12 20075
13
A Comparison of Modern GPU and CPU Architectures: And the Common Convergence of Both
20114
14 20172
15 20192
16 20241
17 20241
18 20251
19 20200
20 20240

About Jonathan Palacios

Jonathan Palacios is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mechanics, Pulmonary and Respiratory Medicine, Mechanical Engineering and Emergency Medicine, having authored 21 papers that have together received 471 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (9 papers), 3D Shape Modeling and Analysis (8 papers), Respiratory Support and Mechanisms (5 papers), Computational Geometry and Mesh Generation (5 papers), Advanced Materials and Mechanics (3 papers), Cardiac Arrest and Resuscitation (2 papers), Sarcoma Diagnosis and Treatment (1 paper) and Antibiotic Use and Resistance (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (384 citations), Computational Mechanics (355 citations), Computational Mathematics (5 citations), Computer Vision and Pattern Recognition (93 citations) and Architecture (5 citations). Jonathan Palacios has collaborated with scholars based in United States, Colombia and Spain. Frequent co-authors include Eugene Zhang, Konrad Polthier, Matthias Nieser, Ying He, Shi‐Min Hu, Yuekun Lai, Miao Jin, Xianfeng Gu, Li‐Yi Wei and Chongyang Ma. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, ACM Transactions on Graphics, BMC Pulmonary Medicine, Critical Care and BMC Neurology.

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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