Gregg E. Favalora

27 total papers · 999 total citations
14 papers, 685 citations indexed

About

Gregg E. Favalora is a scholar working on Media Technology, Human-Computer Interaction and Computer Vision and Pattern Recognition. According to data from OpenAlex, Gregg E. Favalora has authored 14 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Media Technology, 6 papers in Human-Computer Interaction and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Gregg E. Favalora's work include Advanced Optical Imaging Technologies (12 papers), Interactive and Immersive Displays (5 papers) and Virtual Reality Applications and Impacts (3 papers). Gregg E. Favalora is often cited by papers focused on Advanced Optical Imaging Technologies (12 papers), Interactive and Immersive Displays (5 papers) and Virtual Reality Applications and Impacts (3 papers). Gregg E. Favalora collaborates with scholars based in United States, United Kingdom and Finland. Gregg E. Favalora's co-authors include Nicolas S. Holliman, Neil A. Dodgson, Oliver Cossairt, Andrew J. Woods, Daniel E. Smalley, Michael Moebius, Takashi Kawai, Thomas P. Ryan, Gene A. Cardarelli and Xing Gong and has published in prestigious journals such as Computer, IEEE Transactions on Broadcasting and Photonics.

In The Last Decade

Gregg E. Favalora

13 papers receiving 615 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Gregg E. Favalora 541 345 247 116 107 14 685
Nitish Padmanaban 513 0.9× 309 0.9× 301 1.2× 135 1.2× 37 0.3× 17 717
Michael Stengel 206 0.4× 369 1.1× 386 1.6× 148 1.3× 79 0.7× 22 704
Hisayuki Sasaki 611 1.1× 311 0.9× 190 0.8× 53 0.5× 32 0.3× 49 713
Andreas Georgiou 591 1.1× 232 0.7× 188 0.8× 75 0.6× 21 0.2× 20 725
Koki Wakunami 691 1.3× 257 0.7× 198 0.8× 30 0.3× 75 0.7× 35 788
Siegmund Pastoor 229 0.4× 207 0.6× 259 1.0× 144 1.2× 35 0.3× 18 612
Youngmo Jeong 432 0.8× 256 0.7× 172 0.7× 60 0.5× 13 0.1× 33 592
Byounghyo Lee 569 1.1× 223 0.6× 208 0.8× 54 0.5× 17 0.2× 28 692
Fahri Yaraş 632 1.2× 180 0.5× 167 0.7× 30 0.3× 45 0.4× 16 686
Jiwoon Yeom 606 1.1× 311 0.9× 122 0.5× 41 0.4× 29 0.3× 53 735

Countries citing papers authored by Gregg E. Favalora

Since Specialization
Citations

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

Fields of papers citing papers by Gregg E. Favalora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregg E. Favalora. 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 Gregg E. Favalora. The network helps show where Gregg E. Favalora may publish in the future.

Co-authorship network of co-authors of Gregg E. Favalora

This figure shows the co-authorship network connecting the top 25 collaborators of Gregg E. Favalora. A scholar is included among the top collaborators of Gregg E. Favalora based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gregg E. Favalora. Gregg E. Favalora is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026