Donald Hearn

616 citations
9 papers · 382 indexed · h-index 4

Impact in

Papers in

Co-authors
M. Pauline Baker
Journals
Computer Graphics Forum (1 paper)Medical Entomology and Zoology (3 papers)Prentice Hall eBooks (1 paper)Prentice-Hall, Inc eBooks (2 papers)

In The Last Decade

Donald Hearn

8 papers receiving 335 citations

Peers

Donald Hearn
Comparison fields: 5 of 93
  • Computer Graphics and Computer-Aided Design 72
  • Computer Vision and Pattern Recognition 195
  • Human-Computer Interaction 18
  • Geology 15
  • Computational Mechanics 55
Replace M. Pauline Baker with:
M. Pauline Baker United States
David Chelberg United States
Mike Bailey United States
Paul Upchurch United States
Aleš Jaklič Slovenia
Jiemin Fang China
Barbara Mones-Hattal United States
Zirui Wang China
Arsenii Ashukha Russia
Donald Hearn relative to M. Pauline Baker United States M. Pauline Baker's profile →
Citations per field
00.5×1.5×
M. Pauline Baker · 1×
Citations per year

Countries citing papers authored by Donald Hearn

Since Specialization
Citations

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

Fields of papers citing papers by Donald Hearn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 1 scholars most cited alongside Donald Hearn, 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 Donald Hearn Line = papers co-authored together Donald Hearn links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
Computer Graphics - C Version 2nd Ed
20161
2
Graficos Por Computadora Con OpenGL
20061
3 19963
4
Computer Graphics, C Version
1996204
5
Computer graphics (2nd ed.)
199464
6 19924
7
Computer graphics with OpenGL
1986104
8
Microcomputer Graphics for the IBM Personal Computer: Techniques and Applications
19831
9
Microcomputer Graphics: Techniques and Applications
19830

About Donald Hearn

Donald Hearn is a scholar working on Computer Graphics and Computer-Aided Design, Software, Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Management, Monitoring, Policy and Law, having authored 9 papers that have together received 382 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (2 papers), Augmented Reality Applications (1 paper), Manufacturing Process and Optimization (1 paper), Human Motion and Animation (1 paper), Landslides and related hazards (1 paper), Data Visualization and Analytics (1 paper) and Engineering and Information Technology (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (72 citations), Computer Vision and Pattern Recognition (195 citations), Human-Computer Interaction (18 citations), Geology (15 citations) and Computational Mechanics (55 citations). Donald Hearn has collaborated with scholars based in United States, Egypt and Singapore. Frequent co-authors include M. Pauline Baker. Their work appears in journals such as Computer Graphics Forum, Medical Entomology and Zoology, Prentice Hall eBooks and Prentice-Hall, Inc 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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