Joseph Corneli

39 papers receiving 286 citations

Peers

Joseph Corneli
Comparison fields: 5 of 75
  • Computer Science Applications 44
  • Theoretical Computer Science 9
  • Human-Computer Interaction 28
  • Experimental and Cognitive Psychology 48
  • Communication 26
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Citations per field
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Citations per year

Countries citing papers authored by Joseph Corneli

Since Specialization
Citations

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

Fields of papers citing papers by Joseph Corneli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Proceedings of the Seventh International Conference on Computational Creativity
201644
2 201725
3
Proceedings of the sixth international conference of computational creativity
201523
4 201122
5 201220
6 201519
7 201516
8 201514
9 201213
10
eMath 3.0: building blocks for a social and semantic Web for online mathematics & elearning
201013
11
Assessing progress in building autonomously creative systems
201413
12 201413
13
Double bubbles in Gauss space and spheres
20089
14
Proceedings of the The PLE Conference 2011
20119
15 20138
16 20127
17 20046
18 20126
19 20036
20
Pattern Languages of Programs Conference 2015 (PLoP’15
20155

About Joseph Corneli

Joseph Corneli is a scholar working on Computer Science Applications, Artificial Intelligence, Information Systems and Management, Computer Vision and Pattern Recognition and Communication, having authored 43 papers that have together received 333 indexed citations. Recurring topics across this work include Artificial Intelligence in Games (8 papers), Semantic Web and Ontologies (6 papers), Scientific Computing and Data Management (4 papers), Data Visualization and Analytics (4 papers), Innovative Teaching and Learning Methods (4 papers), Open Education and E-Learning (4 papers), Creativity in Education and Neuroscience (4 papers) and Mathematics, Computing, and Information Processing (3 papers). The work is most often cited by research in Computer Science Applications (44 citations), Theoretical Computer Science (9 citations), Human-Computer Interaction (28 citations), Experimental and Cognitive Psychology (48 citations) and Communication (26 citations). Joseph Corneli has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Alison Pease, Jeremy Gow, Simon Colton, Alexander Mikroyannidis, Marco Schorlemmer, Christian Guckelsberger, Michael Kohlhase, Félix Bou, Katarzyna Budzyńska and Chris Reed. Their work appears in journals such as Artificial Intelligence, Experimental Mathematics, Transactions of the American Mathematical Society, Lecture notes in computer science and E-Learning and Digital Media.

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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