David Huber

450 total citations
41 papers, 223 citations indexed

About

David Huber is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, David Huber has authored 41 papers receiving a total of 223 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 6 papers in Cognitive Neuroscience. Recurrent topics in David Huber's work include Visual Attention and Saliency Detection (9 papers), Neural dynamics and brain function (6 papers) and Bayesian Modeling and Causal Inference (6 papers). David Huber is often cited by papers focused on Visual Attention and Saliency Detection (9 papers), Neural dynamics and brain function (6 papers) and Bayesian Modeling and Causal Inference (6 papers). David Huber collaborates with scholars based in United States, Switzerland and Austria. David Huber's co-authors include Andrea Emilio Rizzoli, Deepak Khosla, Ferdinando Villa, Ioannis N. Athanasiadis, Marco Zaffalon, Marcello Donatelli, Alessandro Antonucci, Artem G. Volosniev, James M. Conway and Tsai-Ching Lu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Environmental Research and Public Health.

In The Last Decade

David Huber

39 papers receiving 211 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Huber United States 9 61 30 28 28 23 41 223
Harsha Nori United States 6 224 3.7× 16 0.5× 31 1.1× 20 0.7× 14 0.6× 12 347
Rongjie Yan China 9 58 1.0× 16 0.5× 10 0.4× 3 0.1× 11 0.5× 38 366
Jin Kim South Korea 9 54 0.9× 5 0.2× 18 0.6× 5 0.2× 11 0.5× 41 303
S. Inkinen Switzerland 4 53 0.9× 4 0.1× 69 2.5× 6 0.2× 9 0.4× 8 201
Laura M. Chihara United States 9 65 1.1× 7 0.2× 7 0.3× 4 0.1× 15 0.7× 12 261
Pietro Zanarini Italy 5 39 0.6× 10 0.3× 157 5.6× 34 1.2× 16 0.7× 8 327
Thomas Torsney-Weir Austria 6 116 1.9× 44 1.5× 136 4.9× 10 0.4× 8 0.3× 13 362
Catalina Tobón Colombia 11 20 0.3× 5 0.2× 16 0.6× 3 0.1× 19 0.8× 54 385
Ian Lewin United Kingdom 11 214 3.5× 6 0.2× 20 0.7× 7 0.3× 8 0.3× 63 357
C. Weber United States 6 56 0.9× 13 0.4× 8 0.3× 1 0.0× 11 0.5× 15 272

Countries citing papers authored by David Huber

Since Specialization
Citations

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

Fields of papers citing papers by David Huber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Huber

This figure shows the co-authorship network connecting the top 25 collaborators of David Huber. A scholar is included among the top collaborators of David Huber 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 David Huber. David Huber 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.
Huber, David, et al.. (2023). Codebase release 1.0 for FermiFCI. 1 indexed citations
2.
Huber, David, et al.. (2023). Magnetic impurity in a one-dimensional few-fermion system. SciPost Physics. 14(1). 8 indexed citations
3.
4.
Ravasi, Damiana, Francesca Mangili, David Huber, et al.. (2022). Risk-Based Mapping Tools for Surveillance and Control of the Invasive Mosquito Aedes albopictus in Switzerland. International Journal of Environmental Research and Public Health. 19(6). 3220–3220. 6 indexed citations
5.
Ravasi, Damiana, et al.. (2022). The effects of microclimatic winter conditions in urban areas on the risk of establishment for Aedes albopictus. Scientific Reports. 12(1). 15967–15967. 5 indexed citations
6.
Berjano, Pedro, Francesco Langella, David Huber, et al.. (2021). The Influence of Baseline Clinical Status and Surgical Strategy on Early Good to Excellent Result in Spinal Lumbar Arthrodesis: A Machine Learning Approach. Journal of Personalized Medicine. 11(12). 1377–1377. 13 indexed citations
7.
Huber, David, et al.. (2021). Morphology of three-body quantum states from machine learning. New Journal of Physics. 23(6). 65009–65009. 5 indexed citations
8.
Antonucci, Alessandro, et al.. (2020). CREDICI: A Java Library for Causal Inference by Credal Networks.. 597–600. 3 indexed citations
9.
Huber, David, et al.. (2020). CREMA: A Java Library for Credal Network Inference. 613–616. 2 indexed citations
10.
Corani, Giorgio, et al.. (2020). Impact on place of death in cancer patients: a causal exploration in southern Switzerland. BMC Palliative Care. 19(1). 160–160. 10 indexed citations
11.
Rostami, Mohammad, David Huber, & Tsai-Ching Lu. (2018). A crowdsourcing triage algorithm for geopolitical event forecasting. 377–381. 14 indexed citations
12.
Giusti, Alessandro, David Huber, & Luca Maria Gambardella. (2018). Introducing Machine Learning Concepts by Training a Neural Network to Recognize Hand Gestures. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 1 indexed citations
13.
14.
Khosla, Deepak, David Huber, & Rajan Bhattacharyya. (2017). Optimized static and video EEG rapid serial visual presentation (RSVP) paradigm based on motion surprise computation. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10200. 102000X–102000X. 1 indexed citations
15.
Huber, David & James M. Conway. (2015). The Effect of School Improvement Planning on Student Achievement. Planning and changing. 46. 56–70. 12 indexed citations
16.
Antonucci, Alessandro, Cassio P. de Campos, David Huber, & Marco Zaffalon. (2014). Approximate credal network updating by linear programming with applications to decision making. International Journal of Approximate Reasoning. 58. 25–38. 13 indexed citations
17.
Khosla, Deepak, David Huber, & Christopher Kanan. (2014). A neuromorphic system for visual object recognition. Biologically Inspired Cognitive Architectures. 8. 33–45. 5 indexed citations
18.
Huber, David, et al.. (2013). Low power multi-camera system and algorithms for automated threat detection. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8740. 874006–874006. 1 indexed citations
19.
Huber, David, et al.. (2009). Fusion of multi-sensory saliency maps for automated perception and control. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7336. 73360Z–73360Z. 3 indexed citations
20.
Rizzoli, Andrea Emilio, Ioannis N. Athanasiadis, M. Donatelli, et al.. (2005). Overall architectural design of SeamFrame. Socio-Environmental Systems Modeling. 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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