Brett J. Borghetti

1.2k total citations
56 papers, 773 citations indexed

About

Brett J. Borghetti is a scholar working on Artificial Intelligence, Computer Networks and Communications and Social Psychology. According to data from OpenAlex, Brett J. Borghetti has authored 56 papers receiving a total of 773 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 12 papers in Computer Networks and Communications and 11 papers in Social Psychology. Recurrent topics in Brett J. Borghetti's work include Human-Automation Interaction and Safety (11 papers), EEG and Brain-Computer Interfaces (6 papers) and Remote-Sensing Image Classification (5 papers). Brett J. Borghetti is often cited by papers focused on Human-Automation Interaction and Safety (11 papers), EEG and Brain-Computer Interfaces (6 papers) and Remote-Sensing Image Classification (5 papers). Brett J. Borghetti collaborates with scholars based in United States and Germany. Brett J. Borghetti's co-authors include Angela A. Sodemann, Matt Ross, Christine M. Schubert Kabban, James Christensen, Kevin Decker, Justin R. Estepp, Kenneth M. Hopkinson, Ryan W. Thomas, Ramakant S. Komali and Petri Mähönen and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Communications Surveys & Tutorials and IEEE Access.

In The Last Decade

Brett J. Borghetti

51 papers receiving 739 citations

Peers

Brett J. Borghetti

CNC

CVPR

Abdulhameed Alelaiwi Saudi Arabia

Bernardino Romera‐Paredes United Kingdom

Peter Sinčák Slovakia

Alexander Lavin United States

Ashish Jaiswal United States

Khosro Rezaee Iran

Yunhao Liu China

Ahmed Sedik Egypt

Munif Alotaibi Saudi Arabia

Abdulhameed Alelaiwi Saudi Arabia

Brett J. Borghetti

119 ×0.4

86 ×0.4

CNC

75 ×0.5

234 ×1.5

CVPR

50 ×0.4

Citations per year, relative to Brett J. Borghetti Brett J. Borghetti (= 1×) peers Abdulhameed Alelaiwi

Countries citing papers authored by Brett J. Borghetti

Since Specialization

Citations

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

Fields of papers citing papers by Brett J. Borghetti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brett J. Borghetti. 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 Brett J. Borghetti. The network helps show where Brett J. Borghetti may publish in the future.

Co-authorship network of co-authors of Brett J. Borghetti

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

All Works

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20 of 20 papers shown

Stewart, C. L., et al.. (2025). Machine learning for reactor power monitoring with limited labeled data. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 1073. 170285–170285.

Taylor, Clark N., et al.. (2025). From Simulation to Reality: Transfer Learning for Automating Pseudo‐Labeling of Real and Infrared Imagery. Advanced Intelligent Systems. 7(5). 1 indexed citations

Reith, Mark, et al.. (2024). Personalized Learning Path Problem Variations: Computational Complexity and AI Approaches. IEEE Transactions on Artificial Intelligence. 6(3). 574–588.

Taylor, Clark N., et al.. (2023). An analysis of precision: occlusion and perspective geometry’s role in 6D pose estimation. Neural Computing and Applications. 36(3). 1261–1281. 4 indexed citations

Miller, Michael E., et al.. (2023). Analysis and Requirement Generation for Defense Intelligence Search: Addressing Data Overload through Human–AI Agent System Design for Ambient Awareness. Systems. 11(12). 561–561. 4 indexed citations

Decker, Kevin & Brett J. Borghetti. (2023). Hyperspectral Point Cloud Projection for the Semantic Segmentation of Multimodal Hyperspectral and Lidar Data with Point Convolution-Based Deep Fusion Neural Networks. Applied Sciences. 13(14). 8210–8210. 6 indexed citations

Borghetti, Brett J., et al.. (2021). Generalized Deep Learning EEG Models for Cross-Participant and Cross-Task Detection of the Vigilance Decrement in Sustained Attention Tasks. Sensors. 21(16). 5617–5617. 10 indexed citations

Borghetti, Brett J., et al.. (2021). The Effects of Individual Differences, Non-Stationarity, and the Importance of Data Partitioning Decisions for Training and Testing of EEG Cross-Participant Models. Sensors. 21(9). 3225–3225. 26 indexed citations

Borghetti, Brett J., et al.. (2020). BazNet: A Deep Neural Network for Confident Three-component Backazimuth Prediction. Pure and Applied Geophysics. 178(7). 2459–2473. 3 indexed citations

10.

Borghetti, Brett J., et al.. (2019). Initial investigation into the effect of image degradation on the performance of a 3-category classifier using transfer learning and data augmentation. 11. 25–25.

11.

Borghetti, Brett J., et al.. (2019). Improving Regional and Teleseismic Detection for Single-Trace Waveforms Using a Deep Temporal Convolutional Neural Network Trained with an Array-Beam Catalog. Sensors. 19(3). 597–597. 7 indexed citations

12.

Merkle, Larry D., et al.. (2018). Space Object Identification using Deep Neural Networks. 5. 5 indexed citations

13.

Lin, Alan C., et al.. (2018). Predicting Trouble Ticket Resolution.. The Florida AI Research Society. 201–204.

14.

Borghetti, Brett J., et al.. (2012). Probabili impatti del cambiamento climatico sulla biodiversità delle foreste italiane. Nova Science Publishers (Nova Science Publishers, Inc.). 9(6). 245. 3 indexed citations

15.

Hopkinson, Kenneth M., et al.. (2011). Reputation-Based Trust for a Cooperative Agent-Based Backup Protection Scheme. IEEE Transactions on Smart Grid. 2(2). 287–301. 18 indexed citations

16.

Borghetti, Brett J., et al.. (2010). An Effective and Efficient Real Time Strategy Agent. The Florida AI Research Society. 1 indexed citations

17.

Borghetti, Brett J., et al.. (2010). Reducing communication detection and eavesdropping using mobile agent relay networks. Winter Simulation Conference. 2832–2841. 1 indexed citations

18.

Borghetti, Brett J., et al.. (2006). Performance evaluation methods for the trading agent competition. National Conference on Artificial Intelligence. 1857–1858. 2 indexed citations

19.

Borghetti, Brett J.. (2005). Foreste Ricerca Cultura. Scritti in onore di Orazio Ciancio. 2(4). 331. 1 indexed citations

20.

Borghetti, Brett J.. (1996). Inference Algorithm Performance And Selection Under Constrained Resources. 4 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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