James Gain

71 papers receiving 1.9k citations

James Gain's Hit Papers

A Survey of Augmented, Virtual, and Mixed Reality for Cultural Heritage 2018 · 708 citations
7080+2+5Years since publication200400600

Peers

James Gain
Comparison fields: 5 of 143
  • Computer Graphics and Computer-Aided Design 525
  • Human-Computer Interaction 451
  • Geology 313
  • Computer Vision and Pattern Recognition 856
  • Museology 132
Replace Michela Mortara with:
Michela Mortara Italy
Jonathan C. Roberts United Kingdom
Fabio Bruno Italy
Falko Kuester United States
Nikos Grammalidis Greece
Michael Wimmer Austria
George Pavlidis Greece
Arzu Çöltekin Switzerland
Erik Champion Australia
Edgar Simo‐Serra Japan
James Gain relative to Michela Mortara Italy Michela Mortara's profile →
Citations per field
00.5×5.7×
Michela Mortara · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Survey of Augmented, Virtual, and Mixed Reality for Cultural Heritage
Hit paper breakdown →
2018708
2 2013219
3 200893
4 201977
5 200976
6 200672
7 201760
8 200152
9 200949
10 200243
11 200841
12 200940
13 200631
14 201530
15 200626
16 201223
17 200721
18 201921
19 201719
20 201218

About James Gain

James Gain is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Computational Mechanics, Control and Systems Engineering and Environmental Engineering, having authored 77 papers that have together received 2.0k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (37 papers), 3D Shape Modeling and Analysis (26 papers), Advanced Vision and Imaging (9 papers), Human Motion and Animation (8 papers), Remote Sensing and LiDAR Applications (8 papers), Advanced Numerical Analysis Techniques (7 papers), Computational Geometry and Mesh Generation (6 papers) and 3D Surveying and Cultural Heritage (6 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (525 citations), Human-Computer Interaction (451 citations), Geology (313 citations), Computer Vision and Pattern Recognition (856 citations) and Museology (132 citations). James Gain has collaborated with scholars based in South Africa, France and United States. Frequent co-authors include Patrick Marais, Roberto Pierdicca, Emanuele Frontoni, Eva Savina Malinverni, Mafkereseb Kassahun Bekele, Bruce Merry, Dominique Bechmann, Éric Galin, Marie‐Paule Cani and Éric Guérin. Their work appears in journals such as Computer Graphics Forum, ACM Transactions on Graphics, IEEE Transactions on Visualization and Computer Graphics, Journal on Computing and Cultural Heritage and Journal of Molecular Graphics and Modelling.

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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