James Bigler

1.2k total citations · 1 hit paper
9 papers, 893 citations indexed

About

James Bigler is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, James Bigler has authored 9 papers receiving a total of 893 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Graphics and Computer-Aided Design, 7 papers in Computational Mechanics and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in James Bigler's work include Computer Graphics and Visualization Techniques (9 papers), 3D Shape Modeling and Analysis (6 papers) and Advanced Vision and Imaging (4 papers). James Bigler is often cited by papers focused on Computer Graphics and Visualization Techniques (9 papers), 3D Shape Modeling and Analysis (6 papers) and Advanced Vision and Imaging (4 papers). James Bigler collaborates with scholars based in United States and United Kingdom. James Bigler's co-authors include Steven G. Parker, Austin Robison, Jared Hoberock, Heiko Friedrich, Andreas Dietrich, Morgan McGuire, David Luebke, David McAllister, Aaron Lefohn and Tolga Taşdizen and has published in prestigious journals such as Communications of the ACM, ACM Transactions on Graphics and Computer Graphics Forum.

In The Last Decade

James Bigler

9 papers receiving 834 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

OptiX

2010 472 citations Steven G. Parker, James Bigler et al. ACM Transactions on Graphics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
James Bigler United States	9	563	430	358	75	73	9	893
Heiko Friedrich Germany	11	592 1.1×	522 1.2×	311 0.9×	91 1.2×	91 1.2×	16	910
Jared Hoberock United States	9	407 0.7×	426 1.0×	196 0.5×	89 1.2×	72 1.0×	10	757
David McAllister United States	12	708 1.3×	703 1.6×	367 1.0×	93 1.2×	103 1.4×	13	1.1k
Austin Robison United States	6	344 0.6×	345 0.8×	165 0.5×	66 0.9×	63 0.9×	9	609
Morgan McGuire United States	20	749 1.3×	946 2.2×	310 0.9×	76 1.0×	73 1.0×	48	1.4k
Tzu‐Mao Li United States	12	553 1.0×	749 1.7×	383 1.1×	59 0.8×	129 1.8×	35	1.2k
Nipun Kwatra United States	12	471 0.8×	605 1.4×	521 1.5×	75 1.0×	37 0.5×	26	1.2k
Solomon Boulos United States	18	828 1.5×	705 1.6×	398 1.1×	59 0.8×	75 1.0×	31	1.0k
Ken Museth United States	18	847 1.5×	435 1.0×	802 2.2×	64 0.9×	36 0.5×	75	1.4k
Andreas Fabri France	11	345 0.6×	217 0.5×	211 0.6×	130 1.7×	71 1.0×	18	773

Countries citing papers authored by James Bigler

Since Specialization

Citations

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

Fields of papers citing papers by James Bigler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Bigler

This figure shows the co-authorship network connecting the top 25 collaborators of James Bigler. A scholar is included among the top collaborators of James Bigler 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 James Bigler. James Bigler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Parker, Steven G., Heiko Friedrich, David Luebke, et al.. (2013). GPU ray tracing. Communications of the ACM. 56(5). 93–101. 21 indexed citations

2.

Parker, Steven G., Austin Robison, James Bigler, et al.. (2010). OptiX. ACM Transactions on Graphics. 29(4). 1–1. 11 indexed citations

3.

Parker, Steven G., James Bigler, Andreas Dietrich, et al.. (2010). OptiX. 1–13. 69 indexed citations

4.

Parker, Steven G., James Bigler, Andreas Dietrich, et al.. (2010). OptiX. ACM Transactions on Graphics. 29(4). 1–13. 472 indexed citations breakdown →

5.

Parker, Steven G., Solomon Boulos, James Bigler, & Austin Robison. (2007). RTSL: a Ray Tracing Shading Language. 149–160. 10 indexed citations

6.

Boulos, Solomon, et al.. (2006). An application of scalable massive model interaction using shared-memory systems. 19–27. 28 indexed citations

7.

Bigler, James, et al.. (2006). Design for Parallel Interactive Ray Tracing Systems. 187–196. 71 indexed citations

8.

Bigler, James, James Guilkey, Steven D. Gribble, Charles Hansen, & Steven G. Parker. (2006). A Case Study: Visualizing Material Point Method Data. Eurographics. 299–306. 10 indexed citations

9.

Taşdizen, Tolga, et al.. (2003). Particle‐Based Simulation of Fluids. Computer Graphics Forum. 22(3). 401–410. 201 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.

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