James Gain

2.7k total citations · 1 hit paper
70 papers, 1.7k citations indexed

About

James Gain is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, James Gain has authored 70 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computer Graphics and Computer-Aided Design, 25 papers in Computer Vision and Pattern Recognition and 25 papers in Computational Mechanics. Recurrent topics in James Gain's work include Computer Graphics and Visualization Techniques (36 papers), 3D Shape Modeling and Analysis (25 papers) and Advanced Vision and Imaging (9 papers). James Gain is often cited by papers focused on Computer Graphics and Visualization Techniques (36 papers), 3D Shape Modeling and Analysis (25 papers) and Advanced Vision and Imaging (9 papers). James Gain collaborates with scholars based in South Africa, France and United States. James Gain's co-authors include Patrick Marais, Emanuele Frontoni, Mafkereseb Kassahun Bekele, Eva Savina Malinverni, Roberto Pierdicca, Bruce Merry, Dominique Bechmann, Éric Galin, Éric Guérin and Marie‐Paule Cani and has published in prestigious journals such as ACM Transactions on Graphics, Journal of Computational Chemistry and Journal of Chemical Theory and Computation.

In The Last Decade

James Gain

67 papers receiving 1.6k 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.

A Survey of Augmented, Virtual, and Mixed Reality for Cultural Heritage

2018 559 citations James Gain et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
James Gain South Africa	19	730	485	373	360	247	70	1.7k
Michela Mortara Italy	18	714 1.0×	350 0.7×	557 1.5×	159 0.4×	220 0.9×	46	1.3k
Tobias Isenberg France	31	2.2k 3.1×	892 1.8×	434 1.2×	595 1.7×	128 0.5×	118	3.1k
Mário Costa Sousa Canada	23	1.2k 1.6×	1.0k 2.1×	702 1.9×	491 1.4×	139 0.6×	159	2.3k
David Jacobs United States	19	1.6k 2.2×	461 1.0×	649 1.7×	59 0.2×	150 0.6×	52	2.4k
Faramarz Samavati Canada	20	695 1.0×	717 1.5×	560 1.5×	234 0.7×	110 0.4×	140	1.8k
Yingqing Xu China	28	2.1k 2.9×	923 1.9×	522 1.4×	176 0.5×	113 0.5×	102	2.8k
Fabio Bruno Italy	26	1.1k 1.5×	71 0.1×	70 0.2×	571 1.6×	713 2.9×	142	2.6k
Rae Earnshaw United Kingdom	18	383 0.5×	156 0.3×	102 0.3×	123 0.3×	20 0.1×	89	990
Francisco José Serón Arbeloa Spain	21	401 0.5×	332 0.7×	163 0.4×	58 0.2×	58 0.2×	107	1.2k
Jonathan C. Roberts United Kingdom	17	1.3k 1.8×	152 0.3×	23 0.1×	356 1.0×	61 0.2×	107	1.9k

Countries citing papers authored by James Gain

Since Specialization

Citations

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

Fields of papers citing papers by James Gain

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Gain

This figure shows the co-authorship network connecting the top 25 collaborators of James Gain. A scholar is included among the top collaborators of James Gain 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 Gain. James Gain 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:

20 of 20 papers shown

1.

Gain, James, et al.. (2024). Volcanic Skies: coupling explosive eruptions with atmospheric simulation to create consistent skyscapes. Computer Graphics Forum. 43(2). 1 indexed citations

2.

Gain, James, et al.. (2023). Interactive Authoring of Terrain using Diffusion Models. Computer Graphics Forum. 42(7). 6 indexed citations

3.

Gain, James, et al.. (2021). The physiological signature of sadness: A comparison between text, film and virtual reality. Brain and Cognition. 152. 105734–105734. 9 indexed citations

4.

Gain, James. (2021). Enhancing spatial deformation for virtual sculpting. OpenGrey (Institut de l'Information Scientifique et Technique). 1 indexed citations

5.

Gain, James, et al.. (2020). Data-driven authoring of large-scale ecosystems. ACM Transactions on Graphics. 39(6). 1–14. 12 indexed citations

6.

Gain, James, et al.. (2019). Accurate Synthesis of Multi‐Class Disk Distributions. Computer Graphics Forum. 38(2). 157–168. 6 indexed citations

7.

Peytavie, Adrien, et al.. (2019). Procedural Riverscapes. Computer Graphics Forum. 38(7). 35–46. 8 indexed citations

8.

Gain, James, et al.. (2014). Comparing crossover operators in Neuro-Evolution with crowd simulations. 99. 2298–2305. 1 indexed citations

9.

Merry, Bruce, James Gain, & Patrick Marais. (2013). Moving Least-Squares Reconstruction of Large Models with GPUs. IEEE Transactions on Visualization and Computer Graphics. 20(2). 249–261. 6 indexed citations

10.

Merry, Bruce, James Gain, & Patrick Marais. (2013). Accelerating kd-tree Searches for all k-nearest Neighbours. Eurographics. 37–40. 4 indexed citations

11.

Marais, Patrick, et al.. (2012). Efficient compression of molecular dynamics trajectory files. Journal of Computational Chemistry. 33(27). 2131–2141. 8 indexed citations

12.

Gain, James, et al.. (2010). Automatic addition of physics components to procedural content. 101–110. 5 indexed citations

13.

Kuttel, Michelle M., et al.. (2009). Visualisation of cyclic and multi-branched molecules with VMD. Journal of Molecular Graphics and Modelling. 28(2). 131–139. 47 indexed citations

14.

Ackermann, R., et al.. (2009). Comparing the accuracy and precision of three techniques used for estimating missing landmarks when reconstructing fossil hominin crania. American Journal of Physical Anthropology. 140(1). 1–18. 36 indexed citations

15.

Perkins, Simon, et al.. (2008). A spatial awareness framework for enhancing game agent behaviour. 15–22. 2 indexed citations

16.

Kuttel, Michelle M., et al.. (2006). Techniques for visualization of carbohydrate molecules. Journal of Molecular Graphics and Modelling. 25(3). 380–388. 14 indexed citations

17.

Merry, Bruce, Patrick Marais, & James Gain. (2006). Compression of Dense and Regular Point Clouds. Computer Graphics Forum. 25(4). 709–716. 29 indexed citations

18.

Gain, James & Patrick Marais. (2005). Warp sculpting. IEEE Transactions on Visualization and Computer Graphics. 11(2). 217–227. 11 indexed citations

19.

Chalmers, Alan, et al.. (2001). Proceedings of the 1st international conference on Computer graphics, virtual reality and visualisation. 2 indexed citations

20.

Gain, James, et al.. (1999). Adaptive Refinement and Decimation under Free-Form Deformation. 5 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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