David Huber

39 papers receiving 211 citations

Peers

David Huber
Comparison fields: 5 of 91
  • Information Systems and Management 28
  • Management Science and Operations Research 30
  • Health Informatics 3
  • Artificial Intelligence 61
  • Transportation 11
Replace Baocheng Geng with:
Baocheng Geng United States
Wouter Meulemans Netherlands
Thomas Torsney-Weir Austria
Rongjie Yan China
Laura M. Chihara United States
Furqan Baig United States
Pietro Zanarini Italy
Jin Kim South Korea
Vincent Brault France
Mourad Khayati Switzerland
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Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200847
2 201814
3 202113
4 201413
5
The Effect of School Improvement Planning on Student Achievement
201512
6 202010
7
CREDO: A military decision-support system based on credal networks
201310
8 20179
9 20238
10 20238
11 20226
12 20225
13 20215
14 20145
15 20165
16 20175
17 20194
18 20114
19 20074
20
CREDICI: A Java Library for Causal Inference by Credal Networks.
20203

About David Huber

David Huber is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics, having authored 41 papers that have together received 223 indexed citations. Recurring topics across this work include Visual Attention and Saliency Detection (9 papers), Neural dynamics and brain function (6 papers), Bayesian Modeling and Causal Inference (6 papers), CCD and CMOS Imaging Sensors (4 papers), Gaze Tracking and Assistive Technology (3 papers), Semantic Web and Ontologies (3 papers), Cold Atom Physics and Bose-Einstein Condensates (3 papers) and Infrared Target Detection Methodologies (3 papers). The work is most often cited by research in Information Systems and Management (28 citations), Management Science and Operations Research (30 citations), Health Informatics (3 citations), Artificial Intelligence (61 citations) and Transportation (11 citations). David Huber has collaborated with scholars based in United States, Switzerland and Austria. Frequent co-authors include Andrea Emilio Rizzoli, Deepak Khosla, Ioannis N. Athanasiadis, Ferdinando Villa, Marco Zaffalon, Marcello Donatelli, Alessandro Antonucci, Artem G. Volosniev, James M. Conway and Mohammad Rostami. Their work appears in journals such as International Journal of Approximate Reasoning, New Journal of Physics, BMC Palliative Care, Journal of Personalized Medicine and Scientific Reports.

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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