Binil Starly

5.4k total citations · 2 hit papers
87 papers, 3.9k citations indexed

About

Binil Starly is a scholar working on Biomedical Engineering, Industrial and Manufacturing Engineering and Automotive Engineering. According to data from OpenAlex, Binil Starly has authored 87 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Biomedical Engineering, 27 papers in Industrial and Manufacturing Engineering and 25 papers in Automotive Engineering. Recurrent topics in Binil Starly's work include 3D Printing in Biomedical Research (30 papers), Additive Manufacturing and 3D Printing Technologies (25 papers) and Manufacturing Process and Optimization (15 papers). Binil Starly is often cited by papers focused on 3D Printing in Biomedical Research (30 papers), Additive Manufacturing and 3D Printing Technologies (25 papers) and Manufacturing Process and Optimization (15 papers). Binil Starly collaborates with scholars based in United States, Germany and United Kingdom. Binil Starly's co-authors include Shivakumar Raman, Jayanthi Parthasarathy, Wei Sun, Andrew Darling, Andy Christensen, Paul H. Cohen, Yuan‐Shin Lee, J. Nam, Yi Cai and Jae Do Nam and has published in prestigious journals such as International Journal of Production Research, Toxicology and Applied Pharmacology and Dental Materials.

In The Last Decade

Binil Starly

86 papers receiving 3.8k citations

Hit Papers

Mechanical evaluation of porous titanium (Ti6Al4V) struct... 2009 2026 2014 2020 2009 2020 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Binil Starly United States 27 2.2k 1.4k 949 672 611 87 3.9k
Wen Feng Lu Singapore 45 2.5k 1.1× 2.2k 1.6× 2.4k 2.6× 840 1.3× 382 0.6× 243 6.5k
Hermann Seitz Germany 35 3.2k 1.5× 2.3k 1.6× 1.2k 1.3× 336 0.5× 623 1.0× 173 5.2k
Kenny Dalgarno United Kingdom 30 1.5k 0.7× 2.1k 1.5× 2.2k 2.4× 307 0.5× 334 0.5× 127 4.1k
Bahattin Koç Türkiye 29 1.5k 0.7× 1.1k 0.8× 452 0.5× 275 0.4× 279 0.5× 117 2.4k
Joaquim Ciurana Spain 36 2.1k 1.0× 1.4k 1.0× 3.1k 3.2× 1.0k 1.5× 363 0.6× 153 5.1k
Jorge Vicente Lopes da Silva Brazil 30 1.6k 0.7× 1.0k 0.7× 403 0.4× 177 0.3× 498 0.8× 165 2.9k
Bingheng Lu China 47 4.0k 1.8× 2.0k 1.5× 3.4k 3.6× 369 0.5× 545 0.9× 291 8.3k
Lee Te Chuan Malaysia 17 1.3k 0.6× 1.0k 0.7× 434 0.5× 432 0.6× 199 0.3× 66 2.7k
Feng Lin China 28 1.4k 0.6× 947 0.7× 567 0.6× 169 0.3× 422 0.7× 126 2.9k
Yong Huang United States 53 5.5k 2.5× 3.8k 2.7× 2.6k 2.7× 562 0.8× 400 0.7× 241 8.8k

Countries citing papers authored by Binil Starly

Since Specialization
Citations

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

Fields of papers citing papers by Binil Starly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Binil Starly

This figure shows the co-authorship network connecting the top 25 collaborators of Binil Starly. A scholar is included among the top collaborators of Binil Starly 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 Binil Starly. Binil Starly 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
1.
Starly, Binil, et al.. (2025). Industrial metaverse meets IIoT: low-code platforms for machine-to-machine and human-to-machine integration. Manufacturing Letters. 44. 1254–1265. 1 indexed citations
2.
Fang, Xiaolei, et al.. (2024). Machine identity authentication via unobservable fingerprinting signature: A functional data analysis approach for MQTT 5.0 protocol. Journal of Manufacturing Systems. 76. 59–74. 1 indexed citations
3.
Liu, Xiaorui, et al.. (2024). Manufacturing service capability prediction with Graph Neural Networks. Journal of Manufacturing Systems. 74. 291–301. 9 indexed citations
4.
Uzsoy, Reha, et al.. (2021). A genetic algorithm for order acceptance and scheduling in additive manufacturing. International Journal of Production Research. 60(21). 6373–6390. 28 indexed citations
5.
Sun, Wei, Binil Starly, Andrew C. Daly, et al.. (2020). The bioprinting roadmap. Biofabrication. 12(2). 22002–22002. 323 indexed citations breakdown →
6.
Hasan, Mahmud & Binil Starly. (2020). Decentralized cloud manufacturing-as-a-service (CMaaS) platform architecture with configurable digital assets. Journal of Manufacturing Systems. 56. 157–174. 91 indexed citations
7.
Starly, Binil, et al.. (2019). Network-based pricing for 3D printing services in two-sided manufacturing-as-a-service marketplace. Rapid Prototyping Journal. 26(1). 82–88. 9 indexed citations
8.
Narayanan, Lokesh Karthik, et al.. (2018). Label free process monitoring of 3D bioprinted engineered constructs via dielectric impedance spectroscopy. Biofabrication. 10(3). 35012–35012. 16 indexed citations
9.
Starly, Binil, et al.. (2017). A flexible data schema and system architecture for the virtualization of manufacturing machines (VMM). Journal of Manufacturing Systems. 45. 236–247. 65 indexed citations
11.
Starly, Binil, et al.. (2015). Large scale industrialized cell expansion: producing the critical raw material for biofabrication processes. Biofabrication. 7(4). 44103–44103. 49 indexed citations
12.
Narayanan, Lokesh Karthik, et al.. (2015). Alginate Microspheroid Encapsulation and Delivery of MG-63 Cells Into Polycaprolactone Scaffolds: A New Biofabrication Approach for Tissue Engineering Constructs. Journal of Nanotechnology in Engineering and Medicine. 6(2). 5 indexed citations
13.
Zhang, Xiangming, et al.. (2013). Controlled release of metronidazole from composite poly-ε-caprolactone/alginate (PCL/alginate) rings for dental implants. Dental Materials. 29(6). 656–665. 42 indexed citations
14.
Starly, Binil, et al.. (2011). Alginate based 3D hydrogels as an in vitro co-culture model platform for the toxicity screening of new chemical entities. Toxicology and Applied Pharmacology. 256(1). 62–72. 74 indexed citations
15.
Starly, Binil, et al.. (2009). A Lindenmayer system-based approach for the design of nutrient delivery networks in tissue constructs. Biofabrication. 1(4). 45004–45004. 15 indexed citations
17.
Starly, Binil, et al.. (2007). Enabling Sensor Technologies for the Quantitative Evaluation of Engineered Tissue. Annals of Biomedical Engineering. 36(1). 30–40. 24 indexed citations
18.
Piatt, Joseph H., et al.. (2006). Application of computer-assisted design in craniofacial reconstructive surgery using a commercial image guidance system. Journal of Neurosurgery Pediatrics. 104(1). 64–67. 4 indexed citations
19.
Starly, Binil, et al.. (2004). Image based bio-cad modeling and its applications to biomedical and tissue engineering. 273–278. 5 indexed citations
20.
Sun, Wei, et al.. (2004). Computer‐aided tissue engineering: application to biomimetic modelling and design of tissue scaffolds. Biotechnology and Applied Biochemistry. 39(1). 49–58. 167 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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