Jonathan Ventura

1.5k total citations
55 papers, 861 citations indexed

About

Jonathan Ventura is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Jonathan Ventura has authored 55 papers receiving a total of 861 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Computer Vision and Pattern Recognition, 24 papers in Aerospace Engineering and 7 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Jonathan Ventura's work include Robotics and Sensor-Based Localization (24 papers), Advanced Vision and Imaging (21 papers) and Augmented Reality Applications (13 papers). Jonathan Ventura is often cited by papers focused on Robotics and Sensor-Based Localization (24 papers), Advanced Vision and Imaging (21 papers) and Augmented Reality Applications (13 papers). Jonathan Ventura collaborates with scholars based in United States, New Zealand and Austria. Jonathan Ventura's co-authors include Tobias Höllerer, Dieter Schmalstieg, Clemens Arth, Gerhard Reitmayr, Geoffrey A. Fricker, Janet Franklin, Frank W. Davis, Malcolm P. North, Jeffrey A. Wolf and Terrance E. Boult and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Jonathan Ventura

47 papers receiving 832 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jonathan Ventura United States	16	538	348	146	126	103	55	861
Supreeth Achar United States	12	383 0.7×	210 0.6×	119 0.8×	152 1.2×	41 0.4×	21	860
Matthew Anderson United States	13	236 0.4×	120 0.3×	160 1.1×	166 1.3×	56 0.5×	39	763
Huang Yao China	12	275 0.5×	326 0.9×	223 1.5×	139 1.1×	110 1.1×	42	961
Sergi Foix Spain	12	341 0.6×	133 0.4×	129 0.9×	72 0.6×	54 0.5×	22	799
Michael Weinmann Germany	17	427 0.8×	142 0.4×	231 1.6×	66 0.5×	260 2.5×	69	919
Myron Brown United States	12	845 1.6×	306 0.9×	182 1.2×	29 0.2×	139 1.3×	16	1.1k
Zhuofan Xia China	5	605 1.1×	214 0.6×	74 0.5×	19 0.2×	92 0.9×	10	946
Martin Herman United States	15	659 1.2×	327 0.9×	43 0.3×	59 0.5×	25 0.2×	69	911
Jinhai Cai Australia	18	340 0.6×	93 0.3×	207 1.4×	180 1.4×	56 0.5×	57	1.0k
Jamie Sherrah Australia	15	620 1.2×	98 0.3×	99 0.7×	47 0.4×	29 0.3×	32	914

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-authorship network of co-authors of Jonathan Ventura

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Ventura. A scholar is included among the top collaborators of Jonathan Ventura 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 Jonathan Ventura. Jonathan Ventura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Fricker, Geoffrey A., et al.. (2025). An end-to-end deep learning solution for automated LiDAR tree detection in the urban environment. SHILAP Revista de lepidopterología. 17. 100092–100092.

Ventura, Jonathan, Zuzana Kúkelová, Torsten Sattler, & Dániel Baráth. (2024). Absolute Pose from One or Two Scaled and Oriented Features. 20870–20880.

Ventura, Jonathan, et al.. (2024). Decoding visual culture. Visual Studies. 40(3). 525–543.

Ventura, Jonathan, et al.. (2023). Application of Deep Learning for Classification of Intertidal Eelgrass from Drone-Acquired Imagery. Remote Sensing. 15(9). 2321–2321. 9 indexed citations

Ventura, Jonathan, et al.. (2022). VRVideos: A flexible pipeline for Virtual Reality Video Creation. 199–202. 4 indexed citations

Hagen, Guy M., et al.. (2021). Fluorescence microscopy datasets for training deep neural networks. GigaScience. 10(5). 20 indexed citations

Ventura, Jonathan, et al.. (2021). View Synthesis In Casually Captured Scenes Using a Cylindrical Neural Radiance Field With Exposure Compensation. 1–2. 3 indexed citations

Ventura, Jonathan, et al.. (2021). Evaluation of MRI Denoising Methods Using Unsupervised Learning. Frontiers in Artificial Intelligence. 4. 642731–642731. 29 indexed citations

Dhamija, Akshay Raj, Manuel Günther, Jonathan Ventura, & Terrance E. Boult. (2020). The Overlooked Elephant of Object Detection: Open Set. 1010–1019. 93 indexed citations

10.

Hu, Shi-Min, Denis Kalkofen, Jonathan Ventura, & Stefanie Zollmann. (2020). Message from the ISMAR 2020 Science and Technology Program Chairs and TVCG Guest Editors. IEEE Transactions on Visualization and Computer Graphics. 26(12). 3387–3388.

11.

Baker, Lewis, Steven Mills, Stefanie Zollmann, & Jonathan Ventura. (2020). CasualStereo: Casual Capture of Stereo Panoramas with Spherical Structure-from-Motion. 1. 782–790. 2 indexed citations

12.

Baker, Lewis, Jonathan Ventura, Stefanie Zollmann, Steven Mills, & Tobias Langlotz. (2020). SPLAT: Spherical Localization and Tracking in Large Spaces. 5. 809–817. 2 indexed citations

13.

Fricker, Geoffrey A., Jonathan Ventura, Jeffrey A. Wolf, et al.. (2019). A Convolutional Neural Network Classifier Identifies Tree Species in Mixed-Conifer Forest from Hyperspectral Imagery. Remote Sensing. 11(19). 2326–2326. 153 indexed citations

14.

Kalita, Jugal, et al.. (2017). Neural Networks for Semantic Textual Similarity. 456–465. 3 indexed citations

15.

Arth, Clemens, et al.. (2015). [POSTER] A Particle Filter Approach to Outdoor Localization Using Image-Based Rendering. 6312. 132–135. 3 indexed citations

16.

Ventura, Jonathan, Clemens Arth, Gerhard Reitmayr, & Dieter Schmalstieg. (2014). Global Localization from Monocular SLAM on a Mobile Phone. IEEE Transactions on Visualization and Computer Graphics. 20(4). 531–539. 105 indexed citations

17.

Ventura, Jonathan & Tobias Höllerer. (2011). Fast and scalable keypoint recognition and image retrieval using binary codes. 697–702. 2 indexed citations

18.

Ventura, Jonathan, Stephen DiVerdi, & Tobias Höllerer. (2009). A sketch-based interface for photo pop-up. 21–28. 11 indexed citations

19.

Ventura, Jonathan & Tobias Höllerer. (2008). Depth compositing for augmented reality. 1–1. 9 indexed citations

20.

Ventura, Jonathan, et al.. (2004). Animated Agents: Motivational Consequences. 508–523. 1 indexed citations

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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