Paul Navrátil

624 total citations
23 papers, 368 citations indexed

About

Paul Navrátil is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Paul Navrátil has authored 23 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Graphics and Computer-Aided Design, 12 papers in Computer Vision and Pattern Recognition and 3 papers in Artificial Intelligence. Recurrent topics in Paul Navrátil's work include Computer Graphics and Visualization Techniques (15 papers), Data Visualization and Analytics (11 papers) and Advanced Vision and Imaging (6 papers). Paul Navrátil is often cited by papers focused on Computer Graphics and Visualization Techniques (15 papers), Data Visualization and Analytics (11 papers) and Advanced Vision and Imaging (6 papers). Paul Navrátil collaborates with scholars based in United States, United Kingdom and Portugal. Paul Navrátil's co-authors include Aaron Knoll, Ingo Wald, Donald S. Fussell, Hank Childs, Calvin Lin, Johannes Günther, Jim Jeffers, Jarrett L. Johnson, Volker Bromm and Kelly Gaither and has published in prestigious journals such as Energy, IEEE Transactions on Visualization and Computer Graphics and Computer Graphics Forum.

In The Last Decade

Paul Navrátil

22 papers receiving 354 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Paul Navrátil United States 11 182 175 55 50 50 23 368
Alejandro Troccoli United States 13 119 0.7× 337 1.9× 12 0.2× 41 0.8× 54 1.1× 26 545
Bradford G. Nickerson Canada 7 42 0.2× 67 0.4× 55 1.0× 136 2.7× 15 0.3× 37 319
Pedro J. de Rezende Brazil 9 113 0.6× 112 0.6× 36 0.7× 52 1.0× 23 0.5× 46 308
Zhihao Lin China 7 58 0.3× 136 0.8× 52 0.9× 35 0.7× 148 3.0× 20 495
Sheung-Hung Poon Hong Kong 9 104 0.6× 89 0.5× 22 0.4× 40 0.8× 67 1.3× 30 258
Yujing Sun China 9 33 0.2× 137 0.8× 75 1.4× 6 0.1× 77 1.5× 26 315
Antoine Vigneron South Korea 10 178 1.0× 96 0.5× 11 0.2× 57 1.1× 50 1.0× 44 309
Herman Haverkort Netherlands 14 157 0.9× 140 0.8× 22 0.4× 108 2.2× 46 0.9× 38 472
Gregory M. Hunter United States 5 137 0.8× 286 1.6× 16 0.3× 44 0.9× 49 1.0× 6 422

Countries citing papers authored by Paul Navrátil

Since Specialization
Citations

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

Fields of papers citing papers by Paul Navrátil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Navrátil

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Navrátil. A scholar is included among the top collaborators of Paul Navrátil based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Paul Navrátil. Paul Navrátil is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Jiao, Junfeng, et al.. (2024). Fire and smoke digital twin – A computational framework for modeling fire incident outcomes. Computers Environment and Urban Systems. 110. 102093–102093. 11 indexed citations
3.
Santos, Luís Paulo, et al.. (2024). Towards Quantum Ray Tracing. IEEE Transactions on Visualization and Computer Graphics. 31(4). 2223–2234. 1 indexed citations
4.
Fussell, Donald S., et al.. (2021). Data-Aware Predictive Scheduling for Distributed-Memory Ray Tracing. IEEE Transactions on Visualization and Computer Graphics. 28(1). 1172–1181. 1 indexed citations
5.
Navrátil, Paul, et al.. (2021). LOOM: Interweaving tightly coupled visualization and numeric simulation framework. RepositóriUM (Universidade do Minho). 1–5. 1 indexed citations
6.
Ware, Colin, et al.. (2020). Designing Pairs of Colormaps for Visualizing Bivariate Scalar Fields. Eurographics. 49–53. 2 indexed citations
7.
Fussell, Donald S., et al.. (2018). SpRay: Speculative Ray Scheduling for Large Data Visualization. 77–86. 5 indexed citations
8.
Wald, Ingo, et al.. (2016). OSPRay - A CPU Ray Tracing Framework for Scientific Visualization. IEEE Transactions on Visualization and Computer Graphics. 23(1). 931–940. 104 indexed citations
9.
Larsen, Matthew, et al.. (2015). Ray tracing within a data parallel framework. 279–286. 17 indexed citations
10.
Navrátil, Paul, Hank Childs, Donald S. Fussell, & Calvin Lin. (2014). Exploring the Spectrum of Dynamic Scheduling Algorithms for Scalable Distributed-MemoryRay Tracing. IEEE Transactions on Visualization and Computer Graphics. 20(6). 893–906. 22 indexed citations
11.
Knoll, Aaron, Ingo Wald, Paul Navrátil, et al.. (2014). RBF Volume Ray Casting on Multicore and Manycore CPUs. Computer Graphics Forum. 33(3). 71–80. 18 indexed citations
12.
Knoll, Aaron, Ingo Wald, Paul Navrátil, Michael E. Papka, & Kelly Gaither. (2013). Ray tracing and volume rendering large molecular data on multi-core and many-core architectures. 1–8. 17 indexed citations
13.
Rhodes, Joshua D., Charles R. Upshaw, Chioke Harris, et al.. (2013). Experimental and data collection methods for a large-scale smart grid deployment: Methods and first results. Energy. 65. 462–471. 72 indexed citations
14.
Navrátil, Paul, Donald S. Fussell, Calvin Lin, & Hank Childs. (2012). Dynamic Scheduling for Large-Scale Distributed-Memory Ray Tracing. Eurographics. 61–70. 11 indexed citations
15.
Harrison, Cyrus, et al.. (2012). Efficient Dynamic Derived Field Generation on Many-Core Architectures Using Python. 23. 583–592. 3 indexed citations
16.
Jeong, Byungil, Paul Navrátil, Kelly Gaither, Gregory Abram, & Gregory P. Johnson. (2011). Configurable data prefetching scheme for interactive visualization of large-scale volume data. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8294. 82940K–82940K. 3 indexed citations
17.
Gupta, Gunjan, et al.. (2010). Distributed, Scalable Clustering for Detecting Halos in Terascale Astronomy Datasets. 138–147. 3 indexed citations
18.
Navrátil, Paul, Jarrett L. Johnson, & Volker Bromm. (2007). Visualization of Cosmological Particle-Based Datasets. IEEE Transactions on Visualization and Computer Graphics. 13(6). 1712–1718. 24 indexed citations
19.
Navrátil, Paul, Donald S. Fussell, Calvin Lin, & William R. Mark. (2007). Dynamic Ray Scheduling to Improve Ray Coherence and Bandwidth Utilization. 95–104. 29 indexed citations
20.
Fixa, B, et al.. (1981). [Diagnosis of rejection].. PubMed. 60(7). 489–94. 2 indexed citations

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

Breakdown of academic impact, for papers by Alejandro Troccoli Breakdown of academic impact, for papers by Bradford G. Nickerson Breakdown of academic impact, for papers by Pedro J. de Rezende Breakdown of academic impact, for papers by Zhihao Lin Breakdown of academic impact, for papers by Sheung-Hung Poon Breakdown of academic impact, for papers by Yujing Sun Breakdown of academic impact, for papers by Antoine Vigneron Breakdown of academic impact, for papers by Herman Haverkort Breakdown of academic impact, for papers by Gregory M. Hunter
Rankless by CCL
2026