Jonathan Ventura

1.5k citations
55 papers · 861 · h-index 16

Impact in

Papers in

Jonathan Ventura

47 papers receiving 832 citations

Peers

Jonathan Ventura
Comparison fields: 5 of 90
  • Computer Vision and Pattern Recognition 538
  • Geology 103
  • Aerospace Engineering 348
  • Computer Graphics and Computer-Aided Design 47
  • Human-Computer Interaction 74
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Matthew Anderson United States
Huang Yao China
Michael Weinmann Germany
Jinhai Cai Australia
Sergi Foix Spain
Martin Herman United States
Asako Kanezaki Japan
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Jonathan Ventura relative to Matthew Anderson United States Matthew Anderson's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jonathan Ventura

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Ventura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019153
2 2014105
3 202093
4 201558
5 201244
6 201230
7 202129
8 201427
9 201523
10 200822
11 201522
12 202120
13 201620
14 201018
15 202315
16 202215
17 200914
18 202113
19 201312
20 202212

About Jonathan Ventura

Jonathan Ventura is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Computer Graphics and Computer-Aided Design, Electrical and Electronic Engineering and Environmental Engineering, having authored 55 papers that have together received 861 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (24 papers), Advanced Vision and Imaging (21 papers), Augmented Reality Applications (13 papers), Advanced Image and Video Retrieval Techniques (13 papers), Indoor and Outdoor Localization Technologies (6 papers), Computer Graphics and Visualization Techniques (6 papers), Remote Sensing and LiDAR Applications (4 papers) and Optical measurement and interference techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (538 citations), Geology (103 citations), Aerospace Engineering (348 citations), Computer Graphics and Computer-Aided Design (47 citations) and Human-Computer Interaction (74 citations). Jonathan Ventura has collaborated with scholars based in United States, New Zealand and Austria. Frequent co-authors include Tobias Höllerer, Dieter Schmalstieg, Clemens Arth, Gerhard Reitmayr, Geoffrey A. Fricker, Malcolm P. North, Frank W. Davis, Jeffrey A. Wolf, Janet Franklin and Terrance E. Boult. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Remote Sensing, International Journal of Applied Earth Observation and Geoinformation, The Visual Computer and Visual Studies.

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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