Nilo T. Bugtai

592 total citations
73 papers, 355 citations indexed

About

Nilo T. Bugtai is a scholar working on Biomedical Engineering, Surgery and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nilo T. Bugtai has authored 73 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Biomedical Engineering, 13 papers in Surgery and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nilo T. Bugtai's work include Soft Robotics and Applications (13 papers), Surgical Simulation and Training (12 papers) and Muscle activation and electromyography studies (10 papers). Nilo T. Bugtai is often cited by papers focused on Soft Robotics and Applications (13 papers), Surgical Simulation and Training (12 papers) and Muscle activation and electromyography studies (10 papers). Nilo T. Bugtai collaborates with scholars based in Philippines, Taiwan and Japan. Nilo T. Bugtai's co-authors include Renann G. Baldovino, Ioan D. Marinescu, R. I. M. Young, Elmer P. Dadios, Alexander C. Abad, Ryan Rhay P. Vicerra, Yi‐Chun Du, Robert Kerwin C. Billones, Luis F. Razón and Chyntia Olivia Maurine Jasirwan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Materials Processing Technology and Journal of Manufacturing Systems.

In The Last Decade

Nilo T. Bugtai

60 papers receiving 330 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nilo T. Bugtai Philippines 9 83 69 53 40 33 73 355
Tao Lu China 10 68 0.8× 54 0.8× 32 0.6× 78 1.9× 13 0.4× 42 352
Bidan Huang China 12 120 1.4× 80 1.2× 46 0.9× 73 1.8× 23 0.7× 33 314
Guanyang Liu China 12 94 1.1× 137 2.0× 42 0.8× 24 0.6× 17 0.5× 33 343
Yu Song Netherlands 12 104 1.3× 74 1.1× 36 0.7× 74 1.9× 114 3.5× 103 576
Kazutoshi Tanaka Japan 13 224 2.7× 98 1.4× 49 0.9× 77 1.9× 27 0.8× 53 486
Ali Torabi Canada 11 197 2.4× 139 2.0× 55 1.0× 82 2.0× 18 0.5× 31 532
Lingyan Hu China 10 85 1.0× 79 1.1× 43 0.8× 42 1.1× 12 0.4× 68 396
Zhen Deng China 13 204 2.5× 66 1.0× 76 1.4× 94 2.4× 23 0.7× 48 539
Zhiqin Qian China 12 198 2.4× 86 1.2× 30 0.6× 97 2.4× 30 0.9× 46 515

Countries citing papers authored by Nilo T. Bugtai

Since Specialization
Citations

This map shows the geographic impact of Nilo T. Bugtai'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 Nilo T. Bugtai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nilo T. Bugtai more than expected).

Fields of papers citing papers by Nilo T. Bugtai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nilo T. Bugtai. 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 Nilo T. Bugtai. The network helps show where Nilo T. Bugtai may publish in the future.

Co-authorship network of co-authors of Nilo T. Bugtai

This figure shows the co-authorship network connecting the top 25 collaborators of Nilo T. Bugtai. A scholar is included among the top collaborators of Nilo T. Bugtai 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 Nilo T. Bugtai. Nilo T. Bugtai 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
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Baldovino, Renann G., et al.. (2024). A visual aid system using image processing and deep learning with audio haptic feedback for the blind and visually-impaired. Procedia Computer Science. 246. 2974–2983.
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Bugtai, Nilo T., et al.. (2024). An External Method of Estimating Lateral Forces for a Da Vinci Xi Surgical Instrument. 89–94. 1 indexed citations
4.
Culaba, Alvin B., et al.. (2023). Comprehensive Study of Industry 4.0 in Robotics for Policy Development. SHILAP Revista de lepidopterología. 11(1). 55–69.
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Billones, Robert Kerwin C., et al.. (2022). Energy Consumption Optimization in Rail Transportation System using Linear Programming. 1–5. 1 indexed citations
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Baldovino, Renann G., et al.. (2020). An EMG-based Gesture Recognition for Active-assistive Rehabilitation. 1–6. 3 indexed citations
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Bedruz, Rhen Anjerome, et al.. (2020). Design of a Fuzzy System for Detecting Estrus from Intravaginal Temperature, pH and Resistance. 1–4. 1 indexed citations
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Bugtai, Nilo T., et al.. (2020). Implementation of Neural Network for the Liver Disease Classification. 24. 549–552. 4 indexed citations
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Baldovino, Renann G., et al.. (2019). BCI-controlled Smart Wheelchair for Amyotrophic Lateral Sclerosis Patients. 258–263. 17 indexed citations
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Baldovino, Renann G., et al.. (2019). A cost-effective method of assessing practicability of electromagnetic shielding materials. AIP conference proceedings. 2193. 50015–50015. 1 indexed citations
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Bugtai, Nilo T., et al.. (2018). Trends in telemedicine utilizing artificial intelligence. AIP conference proceedings. 1933. 40009–40009. 50 indexed citations
16.
Abad, Alexander C., et al.. (2018). Active Motor Control for an Upper Extremity Exoskeleton. Advanced Science Letters. 24(11). 8837–8840. 3 indexed citations
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Bugtai, Nilo T., et al.. (2018). Recent technological advancements in laparoscopic surgical instruments. AIP conference proceedings. 1933. 40007–40007. 4 indexed citations
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Bugtai, Nilo T., et al.. (2014). Burnishing of aerospace alloy: A theoretical–experimental approach. Journal of Manufacturing Systems. 37. 472–478. 45 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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