Robert DiBiano

745 total citations
13 papers, 433 citations indexed

About

Robert DiBiano is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Environmental Engineering. According to data from OpenAlex, Robert DiBiano has authored 13 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Environmental Engineering. Recurrent topics in Robert DiBiano's work include Building Energy and Comfort Optimization (3 papers), Human Pose and Action Recognition (2 papers) and Machine Learning and Data Classification (2 papers). Robert DiBiano is often cited by papers focused on Building Energy and Comfort Optimization (3 papers), Human Pose and Action Recognition (2 papers) and Machine Learning and Data Classification (2 papers). Robert DiBiano collaborates with scholars based in United States and China. Robert DiBiano's co-authors include Supratik Mukhopadhyay, Sangram Ganguly, Manohar Karki, Saikat Basu, Ramakrishna Nemani, Yimin Zhu, Chang Wei Tan, Rajgopal Kannan, Laura Duncanson and Yifan Yu and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, AIAA Journal and Neural Networks.

In The Last Decade

Robert DiBiano

12 papers receiving 424 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Robert DiBiano United States	9	155	150	80	77	65	13	433
Manohar Karki United States	8	162 1.0×	162 1.1×	118 1.5×	78 1.0×	54 0.8×	11	510
Xuan Yang China	12	202 1.3×	264 1.8×	92 1.1×	73 0.9×	37 0.6×	59	568
Geng Sun China	14	241 1.6×	263 1.8×	129 1.6×	50 0.6×	51 0.8×	58	667
Yasser Baleghi Iran	15	142 0.9×	240 1.6×	59 0.7×	57 0.7×	49 0.8×	55	586
Zezhong Zheng China	10	113 0.7×	141 0.9×	27 0.3×	49 0.6×	72 1.1×	80	420
Chengfan Li China	12	102 0.7×	76 0.5×	78 1.0×	38 0.5×	67 1.0×	66	497
Shuai Yuan China	15	156 1.0×	186 1.2×	92 1.1×	143 1.9×	149 2.3×	63	636
Nasru Minallah Pakistan	11	61 0.4×	85 0.6×	59 0.7×	67 0.9×	42 0.6×	52	352
Gülşen Taşkın Türkiye	13	209 1.3×	90 0.6×	122 1.5×	131 1.7×	102 1.6×	62	598

Countries citing papers authored by Robert DiBiano

Since Specialization

Citations

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

Fields of papers citing papers by Robert DiBiano

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert DiBiano

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

All Works

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13 of 13 papers shown

Zhu, Yimin, et al.. (2019). A machine learning algorithm to improve building performance modeling during design. MethodsX. 7. 100726–100726. 13 indexed citations

Zhu, Yimin, et al.. (2019). Combining context-aware design-specific data and building performance models to improve building performance predictions during design. Automation in Construction. 107. 102917–102917. 29 indexed citations

DiBiano, Robert, et al.. (2018). Enhancing the Prediction of Artificial Lighting Control Behavior Using Virtual Reality (VR): A Pilot Study. Construction Research Congress 2018. 216–223. 8 indexed citations

Basu, Saikat, Supratik Mukhopadhyay, Manohar Karki, et al.. (2017). Deep neural networks for texture classification—A theoretical analysis. Neural Networks. 97. 173–182. 56 indexed citations

DiBiano, Robert & Supratik Mukhopadhyay. (2017). Automated diagnostics for manufacturing machinery based on well-regularized deep neural networks. Integration. 58. 303–310. 10 indexed citations

Basu, Saikat, Manohar Karki, Sangram Ganguly, et al.. (2016). Learning Sparse Feature Representations Using Probabilistic Quadtrees and Deep Belief Nets. Neural Processing Letters. 45(3). 855–867. 46 indexed citations

Karki, Manohar, et al.. (2016). A symbolic framework for recognizing activities in full motion surveillance videos. Civil War Book Review. 1–7. 2 indexed citations

Basu, Saikat, Sangram Ganguly, Supratik Mukhopadhyay, et al.. (2015). DeepSat. Civil War Book Review. 1–10. 208 indexed citations

Basu, Saikat, et al.. (2015). An Agile Framework for Real-Time Motion Tracking. Civil War Book Review. 1. 205–210. 1 indexed citations

10.

Basu, Saikat, Manohar Karki, Sangram Ganguly, et al.. (2015). Learning Sparse Feature Representations using Probabilistic Quadtrees and Deep Belief Nets. arXiv (Cornell University). 4 indexed citations

11.

Basu, Saikat, Sangram Ganguly, Ramakrishna Nemani, et al.. (2015). A Semiautomated Probabilistic Framework for Tree-Cover Delineation From 1-m NAIP Imagery Using a High-Performance Computing Architecture. IEEE Transactions on Geoscience and Remote Sensing. 53(10). 5690–5708. 33 indexed citations

12.

DiBiano, Robert, Bahadır K. Güntürk, & Corby K. Martin. (2013). Food image analysis for measuring food intake in free living conditions. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8669. 86693N–86693N. 3 indexed citations

13.

Tan, Chang Wei & Robert DiBiano. (1972). A Parametric Study of Falkner-Skan Problem with Mass Transfer. AIAA Journal. 10(7). 923–925. 20 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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