Randima Fernando

1.7k citations
9 papers · 1.1k indexed · h-index 7

Randima Fernando

9 papers receiving 974 citations

Peers

Randima Fernando
Comparison fields: 5 of 106
  • Computer Graphics and Computer-Aided Design 489
  • Computer Vision and Pattern Recognition 512
  • Hardware and Architecture 110
  • Computational Mechanics 254
  • Geology 35
Replace Mark Segal with:
Mark Segal United States
Maurizio Falcone Italy
Bruce Naylor United States
Mark J. Kilgard United Kingdom
Jens Krüger Germany
Morgan McGuire United States
Andrew Glassner United States
Edward Angel United States
Issei Fujishiro Japan
Don P. Mitchell United States
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Citations per field
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Citations per year

Countries citing papers authored by Randima Fernando

Since Specialization
Citations

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

Fields of papers citing papers by Randima Fernando

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 7 scholars most cited alongside Randima Fernando, 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 Randima Fernando Line = papers co-authored together Randima Fernando links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2013145
2
Gpu gems 2: programming techniques for high-performance graphics and general-purpose computation
2005367
3
GPU gems 2 : programming techniques for high-performance
20052
4 2005104
5 200538
6
Programming techniques, tips, and tricks for real-time graphics
20044
7
GPU Gems: Programming Techniques, Tips and Tricks for Real-Time Graphics
2004155
8
The CG Tutorial: The Definitive Guide to Programmable Real-Time Graphics
2003180
9 200198

About Randima Fernando

Randima Fernando is a scholar working on Computer Graphics and Computer-Aided Design, Hardware and Architecture and Computer Vision and Pattern Recognition, having authored 9 papers that have together received 1.1k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (3 papers), Parallel Computing and Optimization Techniques (1 paper), Distributed and Parallel Computing Systems (1 paper), Advanced Vision and Imaging (1 paper), Human Motion and Animation (1 paper), Mindfulness and Compassion Interventions (1 paper), Child and Adolescent Psychosocial and Emotional Development (1 paper) and Computational Geometry and Mesh Generation (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (489 citations), Computer Vision and Pattern Recognition (512 citations) and Hardware and Architecture (110 citations). Randima Fernando has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Matt Pharr, Mark J. Kilgard, David S. Black, Kavita Bala, Sebastían Fernández, Donald P. Greenberg and David B. Kirk. Their work appears in journals such as Journal of Child and Family Studies, CERN Document Server (European Organization for Nuclear Research) and Addison-Wesley eBooks.

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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