Robert Cannon

39 papers receiving 1.2k citations

Peers

Robert Cannon
Comparison fields: 5 of 148
  • Media Technology 198
  • Family Practice 27
  • Computer Vision and Pattern Recognition 312
  • Earth-Surface Processes 90
  • Artificial Intelligence 295
Replace Khairul Munadi with:
Khairul Munadi Indonesia
Fei Tian China
Liu . United States
S. Fotopoulos United States
M. Petrou United Kingdom
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Qing Li China
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Countries citing papers authored by Robert Cannon

Since Specialization
Citations

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

Fields of papers citing papers by Robert Cannon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Robert Cannon, 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 Robert Cannon Line = papers co-authored together Robert Cannon 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 1986446
2
A handbook for teachers in universities & colleges : a guide to improving teaching methods
1991128
3 1984123
4 198595
5 198694
6 200279
7 199150
8 198941
9 196741
10 196829
11 201328
12
The Legacy of the Federal Communications Commission’s Computer Inquiries
200323
13 198723
14 198821
15 200118
16 199711
17 197110
18 19819
19
Computer sedimentary simulation models sequence stratigraphy
19938
20 20057

About Robert Cannon

Robert Cannon is a scholar working on Media Technology, Artificial Intelligence, Information Systems, Geochemistry and Petrology and Education, having authored 43 papers that have together received 1.3k indexed citations. Recurring topics across this work include Geological Modeling and Analysis (5 papers), ICT Impact and Policies (5 papers), Semantic Web and Ontologies (4 papers), Software Engineering Techniques and Practices (4 papers), Remote-Sensing Image Classification (3 papers), Software Engineering Research (3 papers), Image and Object Detection Techniques (2 papers) and Natural Language Processing Techniques (2 papers). The work is most often cited by research in Media Technology (198 citations), Family Practice (27 citations), Computer Vision and Pattern Recognition (312 citations), Earth-Surface Processes (90 citations) and Artificial Intelligence (295 citations). Robert Cannon has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include James C. Bezdek, David Newble, Sterling J. Crabtree, Bernard Lown, Mohan M. Trivedi, John Strobel, Gautam Biswas, Fred Aminzadeh, Matteo A. C. Rossi and Christopher Kendall. Their work appears in journals such as Experimental Biology and Medicine, IEEE Transactions on Pattern Analysis and Machine Intelligence, School Science and Mathematics, The International Journal for Academic Development and Oil & gas journal.

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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