Stephen DiVerdi

2.4k citations
62 papers · 1.5k indexed · h-index 22

Impact in

Papers in

Stephen DiVerdi

60 papers receiving 1.5k citations

Peers

Stephen DiVerdi
Comparison fields: 5 of 90
  • Computer Graphics and Computer-Aided Design 375
  • Human-Computer Interaction 494
  • Computer Vision and Pattern Recognition 1.1k
  • Geology 107
  • Computational Mechanics 329
Replace Sean Fanello with:
Sean Fanello United States
Jingwan Lu United States
James Tompkin United States
John Collomosse United Kingdom
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Morgan McGuire United States
Chongyang Ma China
Christian Richardt United Kingdom
Tilke Judd United States
Edilson de Aguiar Germany
Stephen DiVerdi relative to Sean Fanello United States Sean Fanello's profile →
Citations per field
00.5×1.5×1.8×
Sean Fanello · 1×
Citations per year

Countries citing papers authored by Stephen DiVerdi

Since Specialization
Citations

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

Fields of papers citing papers by Stephen DiVerdi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20225
3 202124
4
Multimodal Prediction and Personalization of Photo Edits with Deep Generative Models
20182
5 201810
6 20160
7 201414
8 201423
9 201321
10 201212
11 20111
12 200986
13 200911
14 20089
15 200811
16 200824
17 20079
18 200712
19 200410
20 200320

About Stephen DiVerdi

Stephen DiVerdi is a scholar working on Human-Computer Interaction, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Acoustics and Ultrasonics and Media Technology, having authored 62 papers that have together received 1.5k indexed citations. Recurring topics across this work include Augmented Reality Applications (23 papers), Advanced Vision and Imaging (21 papers), Interactive and Immersive Displays (21 papers), Computer Graphics and Visualization Techniques (18 papers), Virtual Reality Applications and Impacts (16 papers), Robotics and Sensor-Based Localization (13 papers), 3D Shape Modeling and Analysis (9 papers) and Advanced Image and Video Retrieval Techniques (8 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (375 citations), Human-Computer Interaction (494 citations), Computer Vision and Pattern Recognition (1.1k citations), Geology (107 citations) and Computational Mechanics (329 citations). Stephen DiVerdi has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Tobias Höllerer, Adam Finkelstein, Wilmot Li, Jason Wither, Jingwan Lu, Vladimir G. Kim, Niloy J. Mitra, Thomas Funkhouser, Cuong Nguyen and Ohad Fried. Their work appears in journals such as ACM Transactions on Graphics, IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, Computers & Graphics and Multimedia Tools and Applications.

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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