Paul Calder

52 papers receiving 700 citations

Peers

Paul Calder
Comparison fields: 5 of 105
  • Human-Computer Interaction 185
  • Software 85
  • Hardware and Architecture 142
  • Computer Science Applications 55
  • Information Systems and Management 66
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Countries citing papers authored by Paul Calder

Since Specialization
Citations

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

Fields of papers citing papers by Paul Calder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989315
2 199049
3 200145
4
Interviews: A C++ graphical interface toolkit
198839
5 200232
6 201227
7 201225
8
Patterns in learning to program: an experiment?
200422
9 199520
10 201516
11 201216
12
A pattern-based problem-solving process for novice programmers
200315
13 201411
14 201111
15
Multi-perspective images for visualisation
200111
16 200811
17 199211
18
Choosing to Study for a PhD: A Framework for Examining Decisions to Become a Research Student.
20179
19 20099
20 20218

About Paul Calder

Paul Calder is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology, Human-Computer Interaction, Artificial Intelligence and Information Systems, having authored 54 papers that have together received 817 indexed citations. Recurring topics across this work include Interactive and Immersive Displays (10 papers), Data Visualization and Analytics (6 papers), Computer Graphics and Visualization Techniques (6 papers), Cloud Computing and Remote Desktop Technologies (5 papers), Software Engineering Research (4 papers), Software Engineering and Design Patterns (3 papers), RNA Interference and Gene Delivery (3 papers) and Multimedia Communication and Technology (3 papers). The work is most often cited by research in Human-Computer Interaction (185 citations), Software (85 citations), Hardware and Architecture (142 citations), Computer Science Applications (55 citations) and Information Systems and Management (66 citations). Paul Calder has collaborated with scholars based in Australia, United States and South Korea. Frequent co-authors include Mark Linton, John Vlissides, Bruce H. Thomas, Ron Porter, Hakim Djaballah, Christophe Antczak, Bhavneet Bhinder, Constantin Radu, Haifeng Shen and Tony Dwi Susanto. Their work appears in journals such as Combinatorial Chemistry & High Throughput Screening, Assay and Drug Development Technologies, SLAS DISCOVERY, Information and Software Technology and Nature Communications.

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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