Iris V. Rivero

1.5k total citations
57 papers, 1.1k citations indexed

About

Iris V. Rivero is a scholar working on Biomedical Engineering, Mechanical Engineering and Automotive Engineering. According to data from OpenAlex, Iris V. Rivero has authored 57 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Biomedical Engineering, 22 papers in Mechanical Engineering and 13 papers in Automotive Engineering. Recurrent topics in Iris V. Rivero's work include Bone Tissue Engineering Materials (13 papers), Additive Manufacturing and 3D Printing Technologies (13 papers) and Welding Techniques and Residual Stresses (12 papers). Iris V. Rivero is often cited by papers focused on Bone Tissue Engineering Materials (13 papers), Additive Manufacturing and 3D Printing Technologies (13 papers) and Welding Techniques and Residual Stresses (12 papers). Iris V. Rivero collaborates with scholars based in United States, Jordan and Germany. Iris V. Rivero's co-authors include Srikanthan Ramesh, Prahalada Rao, Ali Tamayol, Denis Cormier, Jianqiang Li, James A. Martin, Yin Yu, Kazim K. Moncal, İbrahim T. Özbolat and Weijie Peng and has published in prestigious journals such as Scientific Reports, The Journal of Physical Chemistry C and Polymer.

In The Last Decade

Iris V. Rivero

55 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Iris V. Rivero United States 18 647 340 233 214 136 57 1.1k
Boyang Huang United Kingdom 23 919 1.4× 392 1.2× 388 1.7× 364 1.7× 238 1.8× 56 1.5k
S. Abolfazl Zahedi United Kingdom 17 697 1.1× 444 1.3× 310 1.3× 236 1.1× 141 1.0× 39 1.1k
J. Nam South Korea 16 543 0.8× 318 0.9× 196 0.8× 109 0.5× 119 0.9× 31 1.2k
Shuxiang Cai China 13 672 1.0× 173 0.5× 158 0.7× 271 1.3× 92 0.7× 29 1.0k
Zhengyi Zhang China 22 1.2k 1.8× 782 2.3× 149 0.6× 152 0.7× 81 0.6× 58 1.5k
Danyang Zhao China 25 538 0.8× 233 0.7× 471 2.0× 222 1.0× 228 1.7× 100 1.9k
Hui Zhuang China 18 989 1.5× 191 0.6× 167 0.7× 386 1.8× 157 1.2× 38 1.5k
Yifei Jin United States 23 1.2k 1.9× 922 2.7× 380 1.6× 239 1.1× 77 0.6× 74 1.8k
Tao Yuan China 18 561 0.9× 100 0.3× 166 0.7× 132 0.6× 70 0.5× 51 926
Yung‐Kang Shen Taiwan 18 465 0.7× 237 0.7× 438 1.9× 81 0.4× 75 0.6× 111 1.1k

Countries citing papers authored by Iris V. Rivero

Since Specialization
Citations

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

Fields of papers citing papers by Iris V. Rivero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Iris V. Rivero. 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 Iris V. Rivero. The network helps show where Iris V. Rivero may publish in the future.

Co-authorship network of co-authors of Iris V. Rivero

This figure shows the co-authorship network connecting the top 25 collaborators of Iris V. Rivero. A scholar is included among the top collaborators of Iris V. Rivero 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 Iris V. Rivero. Iris V. Rivero 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.
Laflamme, Simon, et al.. (2025). Flexible shape memory structures with low activation temperatures through investigation of the plasticizing effect. Materials Research Express. 12(5). 55310–55310. 1 indexed citations
2.
Laflamme, Simon, et al.. (2025). Enhancing 3D-printed cementitious composites with recycled carbon fibers from wind turbine blades. Construction and Building Materials. 472. 140650–140650. 3 indexed citations
3.
4.
5.
Ramesh, Srikanthan, Jacob Quint, Mohamadmahdi Samandari, et al.. (2024). Engineering tools for stimulating wound healing. Applied Physics Reviews. 11(2). 6 indexed citations
6.
Meyer, Anne S., et al.. (2023). Three dimensional printed biofilms: Fabrication, design and future biomedical and environmental applications. Microbial Biotechnology. 17(1). e14360–e14360. 12 indexed citations
7.
Ramesh, Srikanthan, Zhiheng Xu, Iris V. Rivero, & Denis Cormier. (2023). Computational fluid dynamics and experimental validation of aerosol jet printing with multi-stage flow focusing lenses. Journal of Manufacturing Processes. 95. 312–329. 15 indexed citations
8.
Greeley, Andrew M., Xiao Zhang, Denis Cormier, et al.. (2022). Property-structure-process relationships in dissimilar material repair with directed energy deposition: Repairing gray cast iron using stainless steel 316L. Journal of Manufacturing Processes. 81. 27–34. 18 indexed citations
9.
Laflamme, Simon, et al.. (2021). Soft Elastomeric Capacitor for Strain and Stress Monitoring on Sutured Skin Tissues. ACS Sensors. 6(10). 3706–3714. 7 indexed citations
10.
Liu, Han, et al.. (2021). Corrugated Compliant Capacitor towards Smart Bandage Application. 1–6. 2 indexed citations
11.
Kollosche, Matthias, et al.. (2020). Numerical Investigation of Auxetic Textured Soft Strain Gauge for Monitoring Animal Skin. Sensors. 20(15). 4185–4185. 7 indexed citations
12.
Mostafavi, Azadeh, Srikanthan Ramesh, Adnan Memić, et al.. (2020). Process–Structure–Quality Relationships of Three-Dimensional Printed Poly(Caprolactone)-Hydroxyapatite Scaffolds. Tissue Engineering Part A. 26(5-6). 279–291. 53 indexed citations
13.
Downey, Austin, et al.. (2019). Use of flexible sensor to characterize biomechanics of canine skin. BMC Veterinary Research. 15(1). 40–40. 4 indexed citations
14.
Stromberg, Loreen R., John A. Hondred, Deyny Mendivelso-Pérez, et al.. (2019). Stamped multilayer graphene laminates for disposable in-field electrodes: application to electrochemical sensing of hydrogen peroxide and glucose. Microchimica Acta. 186(8). 533–533. 21 indexed citations
15.
16.
Yu, Yin, Kazim K. Moncal, Jianqiang Li, et al.. (2016). Three-dimensional bioprinting using self-assembling scalable scaffold-free “tissue strands” as a new bioink. Scientific Reports. 6(1). 28714–28714. 197 indexed citations
17.
Rivero, Iris V., et al.. (2015). In vitrochondrocyte behavior on porous biodegradable poly (e-caprolactone)/polyglycolic acid scaffolds for articular chondrocyte adhesion and proliferation. Journal of Biomaterials Science Polymer Edition. 26(7). 401–419. 20 indexed citations
18.
Rivero, Iris V., et al.. (2014). Effect of cryomilling times on the resultant properties of porous biodegradable poly(e-caprolactone)/poly(glycolic acid) scaffolds for articular cartilage tissue engineering. Journal of the mechanical behavior of biomedical materials. 40. 33–41. 11 indexed citations
19.
Rivero, Iris V., et al.. (2011). Fabrication and characterization of interconnected porous biodegradable poly(ε-caprolactone) load bearing scaffolds. Journal of Materials Science Materials in Medicine. 22(8). 1843–1853. 21 indexed citations
20.
Rivero, Iris V., et al.. (2002). Residual stresses and patterns in 52100 bearing steel: Preliminary analysis of strain hardening vs. microstructural transformation by XRD analysis. Lubrication engineering. 58(10). 30–40. 3 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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