Jonathan Francis

621 total citations
35 papers, 259 citations indexed

About

Jonathan Francis is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Building and Construction. According to data from OpenAlex, Jonathan Francis has authored 35 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 9 papers in Building and Construction. Recurrent topics in Jonathan Francis's work include Topic Modeling (8 papers), Building Energy and Comfort Optimization (7 papers) and Multimodal Machine Learning Applications (6 papers). Jonathan Francis is often cited by papers focused on Topic Modeling (8 papers), Building Energy and Comfort Optimization (7 papers) and Multimodal Machine Learning Applications (6 papers). Jonathan Francis collaborates with scholars based in United States, India and Germany. Jonathan Francis's co-authors include Alessandro Oltramari, Eric Nyberg, Kaixin Ma, Mario Bergés, Charles Shelton, Filip Ilievski, Yonatan Bisk, Shan Lin, Matías Quintana and Anthony Rowe and has published in prestigious journals such as Quarterly Journal of the Royal Meteorological Society, IEEE Robotics and Automation Letters and Journal of Artificial Intelligence Research.

In The Last Decade

Jonathan Francis

29 papers receiving 251 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Francis United States 8 141 96 56 47 25 35 259
Stefan Wender Germany 8 118 0.8× 84 0.9× 16 0.3× 34 0.7× 18 0.7× 14 250
Huihan Liu China 6 51 0.4× 61 0.6× 52 0.9× 126 2.7× 12 0.5× 8 265
Christos Chronis Greece 10 69 0.5× 48 0.5× 52 0.9× 71 1.5× 15 0.6× 20 231
Jesús L. Lobo Spain 8 136 1.0× 23 0.2× 57 1.0× 47 1.0× 24 1.0× 26 318
Aya Nabil Sayed Qatar 8 78 0.6× 46 0.5× 68 1.2× 59 1.3× 53 2.1× 18 276
Manik Gupta India 9 45 0.3× 44 0.5× 17 0.3× 54 1.1× 37 1.5× 47 256
Hsiao-Te Chang Taiwan 8 157 1.1× 96 1.0× 27 0.5× 18 0.4× 8 0.3× 10 334
Quan Kong Japan 10 95 0.7× 129 1.3× 12 0.2× 33 0.7× 11 0.4× 32 239
Jae‐Han Lim South Korea 9 35 0.2× 32 0.3× 51 0.9× 201 4.3× 18 0.7× 48 366
Kuan-Hui Lee United States 6 90 0.6× 291 3.0× 31 0.6× 12 0.3× 9 0.4× 11 394

Countries citing papers authored by Jonathan Francis

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Francis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Francis

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

All Works

20 of 20 papers shown
1.
Francis, Jonathan, et al.. (2025). SEAL: Towards Safe Autonomous Driving via Skill-Enabled Adversary Learning for Closed-Loop Scenario Generation. IEEE Robotics and Automation Letters. 10(9). 9320–9327.
2.
Zhang, Yunzhe, Mingyang Yu, Yikai Wang, et al.. (2025). Human2LocoMan: Learning Versatile Quadrupedal Manipulation with Human Pretraining. 1 indexed citations
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Francis, Jonathan, et al.. (2024). Enhancing Vision-Language Models with Scene Graphs for Traffic Accident Understanding. 1–7. 4 indexed citations
8.
Ilievski, Filip, et al.. (2023). A Study of Situational Reasoning for Traffic Understanding. arXiv (Cornell University). 3262–3272. 6 indexed citations
9.
Chhikara, Prateek, et al.. (2023). Knowledge-enhanced Agents for Interactive Text Games. VU Research Portal. 157–165. 1 indexed citations
10.
Francis, Jonathan, et al.. (2022). Core Challenges in Embodied Vision-Language Planning. Journal of Artificial Intelligence Research. 74. 459–515. 18 indexed citations
11.
Qi, Yue, Ruixuan Wang, Mojtaba Vaezi, Jonathan Francis, & Xun Jiao. (2022). Handcrafted and Neural Network Based Features for Outlier Modulation Detection. 1. 698–702.
12.
Francis, Jonathan, et al.. (2022). Knowledge-driven Scene Priors for Semantic Audio-Visual Embodied Navigation. arXiv (Cornell University). 1 indexed citations
13.
Chen, Xi, et al.. (2021). Building Goal-oriented Document-grounded Dialogue Systems. 109–112. 5 indexed citations
14.
Ma, Kaixin, Filip Ilievski, Jonathan Francis, et al.. (2021). Knowledge-driven Data Construction for Zero-shot Evaluation in Commonsense Question Answering. Proceedings of the AAAI Conference on Artificial Intelligence. 35(15). 13507–13515. 39 indexed citations
15.
Francis, Jonathan, Charles Shelton, Matías Quintana, et al.. (2017). FORK: fine grained occupancy estimatoR using kinect on ARM embedded platforms. 1 indexed citations
16.
Francis, Jonathan, et al.. (2017). Poster Abstract: Long Term Occupancy Estimation in a Commercial Space: An Empirical Study. 307–308. 3 indexed citations
17.
Li, Juncheng, Jonathan Francis, Charles Shelton, et al.. (2017). Real-Time Fine Grained Occupancy Estimation Using Depth Sensors on ARM Embedded Platforms. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 295–306. 31 indexed citations
18.
Francis, Jonathan, et al.. (2017). Context Intelligence in Pervasive Environments. 315–316. 1 indexed citations
19.
Francis, Jonathan, Charles Shelton, Matías Quintana, et al.. (2017). FORK. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–2. 5 indexed citations
20.
Francis, Jonathan, et al.. (1968). THE ACCURACY OF CALIBRATION OF MODEL GAUGING STRUCTURES.. Proceedings of the Institution of Civil Engineers. 39(2). 235–241. 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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