Christopher F. Codella

12 papers receiving 291 citations

Peers

Christopher F. Codella
Comparison fields: 5 of 55
  • Human-Computer Interaction 65
  • Computer Graphics and Computer-Aided Design 26
  • Computer Vision and Pattern Recognition 60
  • Computer Networks and Communications 49
  • Artificial Intelligence 69
Replace Anand Bhojan with:
Anand Bhojan Singapore
Tomohiro Hase Japan
James Gettys Germany
Jae-Young Jang South Korea
Kazuhiro Yamaguchi Japan
Haibo Li China
Mitchell Trott United States
Peter H. W. Wong Hong Kong
Christopher F. Codella relative to Anand Bhojan Singapore Anand Bhojan's profile →
Citations per field
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Anand Bhojan · 1×
Citations per year

Countries citing papers authored by Christopher F. Codella

Since Specialization
Citations

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

Fields of papers citing papers by Christopher F. Codella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher F. Codella. 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 Christopher F. Codella. The network helps show where Christopher F. Codella may publish in the future.

Co-authors

The 13 scholars most cited alongside Christopher F. Codella, 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 Christopher F. Codella Line = papers co-authored together Christopher F. Codella links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 199263
2 202460
3 199256
4 198544
5 198243
6 200320
7 200210
8 20239
9 20036
10 19813
11 19983
12 19962

About Christopher F. Codella

Christopher F. Codella is a scholar working on Human-Computer Interaction, Computer Networks and Communications, Geology, Control and Systems Engineering and Electrical and Electronic Engineering, having authored 12 papers that have together received 319 indexed citations. Recurring topics across this work include Advancements in Semiconductor Devices and Circuit Design (3 papers), Semiconductor materials and devices (3 papers), Silicon Carbide Semiconductor Technologies (2 papers), Teleoperation and Haptic Systems (2 papers), 3D IC and TSV technologies (1 paper), Robotics and Automated Systems (1 paper), Quantum Information and Cryptography (1 paper) and Advanced Condensed Matter Physics (1 paper). The work is most often cited by research in Human-Computer Interaction (65 citations), Computer Graphics and Computer-Aided Design (26 citations), Computer Vision and Pattern Recognition (60 citations), Computer Networks and Communications (49 citations) and Artificial Intelligence (69 citations). Christopher F. Codella has collaborated with scholars based in United States, Japan and Netherlands. Frequent co-authors include Seiki Ogura, Daniel T. Ling, Nivo Rovedo, George Viorel Popescu, Joseph F. Shepard, Greg Turk, Reza B. Jalili, Alan Norton, Donald Ferguson and Thomas Mikalsen. Their work appears in journals such as PRESENCE Virtual and Augmented Reality, IBM Systems Journal, Future Generation Computer Systems and IEEE Transactions on Electron Devices.

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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