Anthony J. Pinar

526 total citations
28 papers, 348 citations indexed

About

Anthony J. Pinar is a scholar working on Artificial Intelligence, Management Science and Operations Research and Ocean Engineering. According to data from OpenAlex, Anthony J. Pinar has authored 28 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 10 papers in Management Science and Operations Research and 8 papers in Ocean Engineering. Recurrent topics in Anthony J. Pinar's work include Multi-Criteria Decision Making (10 papers), Fuzzy Systems and Optimization (6 papers) and Bayesian Modeling and Causal Inference (5 papers). Anthony J. Pinar is often cited by papers focused on Multi-Criteria Decision Making (10 papers), Fuzzy Systems and Optimization (6 papers) and Bayesian Modeling and Causal Inference (5 papers). Anthony J. Pinar collaborates with scholars based in United States and United Kingdom. Anthony J. Pinar's co-authors include Timothy C. Havens, Derek T. Anderson, Muhammad Aminul Islam, Nina Mahmoudian, Brian R. Page, Grant J. Scott, James M. Keller, Timothy J. Schulz, Joshua M. Pearce and Gerald C. Anzalone and has published in prestigious journals such as IEEE Transactions on Fuzzy Systems, IEEE Robotics and Automation Letters and Journal of Intelligent & Robotic Systems.

In The Last Decade

Anthony J. Pinar

26 papers receiving 345 citations

Peers

Anthony J. Pinar

MSOR

Benjamin Quost France

P.R. Kersten United States

Wenjuan Ren China

Jinfu Feng China

Arūnas Lipnickas Lithuania

Zhanlue Zhao United States

Mingzhi Chen China

Geng Zhang China

Jérémie Houssineau United Kingdom

Benjamin Quost France

Anthony J. Pinar

257 ×2.0

28 ×0.3

94 ×1.0

MSOR

51 ×1.0

27 ×0.6

Citations per year, relative to Anthony J. Pinar Anthony J. Pinar (= 1×) peers Benjamin Quost

Countries citing papers authored by Anthony J. Pinar

Since Specialization

Citations

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

Fields of papers citing papers by Anthony J. Pinar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anthony J. Pinar

This figure shows the co-authorship network connecting the top 25 collaborators of Anthony J. Pinar. A scholar is included among the top collaborators of Anthony J. Pinar 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 Anthony J. Pinar. Anthony J. Pinar 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

Salem, Mohamed E., et al.. (2024). Developing robust autonomous vehicles with ROS. Digital Commons - Michigan Tech (Michigan Technological University). 19–19.

Pinar, Anthony J., et al.. (2021). Online Sequential Learning of Fuzzy Measures for Choquet Integral Fusion. Digital Commons - Michigan Tech (Michigan Technological University). 1 indexed citations

Islam, Muhammad Aminul, Anthony J. Pinar, Derek T. Anderson, et al.. (2020). Explainable AI for the Choquet Integral. IEEE Transactions on Emerging Topics in Computational Intelligence. 5(4). 520–529. 21 indexed citations

Pinar, Anthony J., et al.. (2020). Novel Regularization for Learning the Fuzzy Choquet Integral With Limited Training Data. IEEE Transactions on Fuzzy Systems. 29(10). 2890–2901. 4 indexed citations

Pinar, Anthony J., et al.. (2020). Choquet Integral Ridge Regression. Digital Commons - Michigan Tech (Michigan Technological University). 1–8. 5 indexed citations

Islam, Muhammad Aminul, Derek T. Anderson, Anthony J. Pinar, et al.. (2019). Enabling Explainable Fusion in Deep Learning With Fuzzy Integral Neural Networks. IEEE Transactions on Fuzzy Systems. 28(7). 1291–1300. 51 indexed citations

Islam, Muhammad Aminul, Anthony J. Pinar, Derek T. Anderson, et al.. (2019). Transfer Learning for the Choquet Integral. Digital Commons - Michigan Tech (Michigan Technological University). 1–6.

Islam, Muhammad Aminul, Derek T. Anderson, Anthony J. Pinar, & Timothy C. Havens. (2017). Data-Driven Compression and Efficient Learning of the Choquet Integral. IEEE Transactions on Fuzzy Systems. 26(4). 1908–1922. 32 indexed citations

Pinar, Anthony J., Timothy C. Havens, Muhammad Aminul Islam, & Derek T. Anderson. (2017). Visualization and learning of the Choquet integral with limited training data. Digital Commons - Michigan Tech (Michigan Technological University). 30. 1–6. 10 indexed citations

10.

Page, Brian R., et al.. (2017). Effective Turning Motion Control of Internally Actuated Autonomous Underwater Vehicles. Journal of Intelligent & Robotic Systems. 89(1-2). 175–189. 21 indexed citations

11.

Havens, Timothy C. & Anthony J. Pinar. (2017). Generating random fuzzy (capacity) measures for data fusion simulations. Digital Commons - Michigan Tech (Michigan Technological University). 1–8. 8 indexed citations

12.

Pinar, Anthony J., et al.. (2016). Efficient Multiple Kernel Classification Using Feature and Decision Level Fusion. IEEE Transactions on Fuzzy Systems. 25(6). 1403–1416. 34 indexed citations

13.

Page, Brian R., et al.. (2016). Highly Maneuverable Low-Cost Underwater Glider: Design and Development. IEEE Robotics and Automation Letters. 2(1). 344–349. 42 indexed citations

14.

Pinar, Anthony J., et al.. (2016). Multiple instance learning for buried hazard detection. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9823. 98231N–98231N. 1 indexed citations

15.

Pinar, Anthony J., et al.. (2016). Explosive hazard detection with feature and decision level fusion, multiple kernel learning, and fuzzy integrals. Digital Commons - Michigan Tech (Michigan Technological University). 1–8. 1 indexed citations

16.

Pinar, Anthony J., et al.. (2015). Low-Cost Open-Source Voltage and Current Monitor for Gas Metal Arc Weld 3D Printing. Journal of Sensors. 2015. 1–8. 23 indexed citations

17.

Havens, Timothy C., et al.. (2015). Deep belief networks for false alarm rejection in forward-looking ground-penetrating radar. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9454. 94540W–94540W. 9 indexed citations

18.

Pinar, Anthony J., et al.. (2015). Feature and decision level fusion using multiple kernel learning and fuzzy integrals. Digital Commons - Michigan Tech (Michigan Technological University). 1–7. 14 indexed citations

19.

Havens, Timothy C., et al.. (2014). Multi-band sensor-fused explosive hazards detection in forward-looking ground penetrating radar. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9072. 90720T–90720T. 10 indexed citations

20.

Pinar, Anthony J. & Wayne W. Weaver. (2014). Control and performance of a class d audio power converter under sliding-mode control with variable hysteretic bands. Digital Commons - Michigan Tech (Michigan Technological University). 1–6. 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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