Carlos Javierre

1.0k total citations
54 papers, 724 citations indexed

About

Carlos Javierre is a scholar working on Mechanical Engineering, Automotive Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Carlos Javierre has authored 54 papers receiving a total of 724 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Mechanical Engineering, 14 papers in Automotive Engineering and 11 papers in Industrial and Manufacturing Engineering. Recurrent topics in Carlos Javierre's work include Injection Molding Process and Properties (17 papers), Additive Manufacturing and 3D Printing Technologies (13 papers) and Recycling and Waste Management Techniques (11 papers). Carlos Javierre is often cited by papers focused on Injection Molding Process and Properties (17 papers), Additive Manufacturing and 3D Printing Technologies (13 papers) and Recycling and Waste Management Techniques (11 papers). Carlos Javierre collaborates with scholars based in Spain, Mexico and France. Carlos Javierre's co-authors include Daniel Elduque, Ángel Fernández, Judith Sarasa, José Gracia, Jorge Santolaria, Emilio Jiménez Macías, María Herrando, Norberto Fueyo, Jorge Luis García-Alcaráz and E. Martínez and has published in prestigious journals such as Bioresource Technology, Journal of Cleaner Production and Energy Conversion and Management.

In The Last Decade

Carlos Javierre

53 papers receiving 692 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carlos Javierre Spain 16 244 146 145 126 124 54 724
Virgínia Aparecida da Silva Moris Brazil 13 109 0.4× 110 0.8× 76 0.5× 49 0.4× 85 0.7× 34 546
Leslie Jacquemin France 9 236 1.0× 140 1.0× 71 0.5× 42 0.3× 60 0.5× 12 597
Daniel Elduque Spain 15 160 0.7× 106 0.7× 87 0.6× 44 0.3× 34 0.3× 37 459
Robert A. Witik Switzerland 5 456 1.9× 216 1.5× 190 1.3× 43 0.3× 78 0.6× 6 737
Carla L. Simões Portugal 12 48 0.2× 162 1.1× 130 0.9× 106 0.8× 221 1.8× 28 575
Robert Böhm Germany 18 464 1.9× 141 1.0× 399 2.8× 68 0.5× 51 0.4× 85 1.3k
Fantahun M. Defersha Canada 22 93 0.4× 52 0.4× 168 1.2× 80 0.6× 197 1.6× 61 1.4k
Kok Hoong Wong China 13 730 3.0× 256 1.8× 298 2.1× 58 0.5× 79 0.6× 22 1.0k
Daniele Landi Italy 16 155 0.6× 166 1.1× 81 0.6× 65 0.5× 26 0.2× 64 1.0k
Sofie Huysman Belgium 9 63 0.3× 286 2.0× 77 0.5× 160 1.3× 55 0.4× 10 738

Countries citing papers authored by Carlos Javierre

Since Specialization
Citations

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

Fields of papers citing papers by Carlos Javierre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carlos Javierre

This figure shows the co-authorship network connecting the top 25 collaborators of Carlos Javierre. A scholar is included among the top collaborators of Carlos Javierre 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 Carlos Javierre. Carlos Javierre 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.
García-Alcaráz, Jorge Luis, et al.. (2022). Effect of lean manufacturing tools on sustainability: the case of Mexican maquiladoras. Environmental Science and Pollution Research. 29(26). 39622–39637. 24 indexed citations
2.
García-Alcaráz, Jorge Luis, et al.. (2021). Effects of information sharing, decision synchronization and goal congruence on SC performance. Computers & Industrial Engineering. 162. 107744–107744. 10 indexed citations
3.
Elduque, Daniel, et al.. (2021). Life Cycle Assessment of a Plastic Part Injected with Recycled Polypropylene: A Comparison with Alternative Virgin Materials. International Journal of Precision Engineering and Manufacturing-Green Technology. 9(3). 919–932. 25 indexed citations
4.
García-Alcaráz, Jorge Luis, et al.. (2021). Effect of Quality Lean Manufacturing Tools on Commercial Benefits Gained by Mexican Maquiladoras. Mathematics. 9(9). 971–971. 10 indexed citations
5.
Elduque, Daniel, et al.. (2020). A New Multiparameter Model for Multiaxial Fatigue Life Prediction of Rubber Materials. Polymers. 12(5). 1194–1194. 8 indexed citations
6.
Elduque, Daniel, et al.. (2020). Influence of the Composition on the Environmental Impact of a Casting Magnesium Alloy. Sustainability. 12(24). 10494–10494. 6 indexed citations
7.
Elduque, Daniel, et al.. (2019). Dimensional Stability and Process Capability of an Industrial Component Injected with Recycled Polypropylene. Polymers. 11(6). 1063–1063. 13 indexed citations
8.
Gracia, L., et al.. (2018). A comparative study of hyperelastic constitutive models for an automotive shaft seal material. 3(2/3). 171–171. 1 indexed citations
9.
Elduque, Daniel, et al.. (2018). A comparative study of hyperelastic constitutive models for an automotive shaft seal material. 3(2/3). 171–171. 8 indexed citations
10.
Elduque, Daniel, et al.. (2018). Influence of the Composition on the Environmental Impact of Soft Ferrites. Materials. 11(10). 1789–1789. 8 indexed citations
11.
Javierre, Carlos, et al.. (2016). Conformal polishing approach: Tool footprint analysis. Advances in Mechanical Engineering. 8(2). 4 indexed citations
12.
Elduque, Daniel, et al.. (2016). A comparative study of hyperelastic constitutive models for an automotive component material. 338–347. 3 indexed citations
13.
Elduque, Daniel, et al.. (2015). Environmental impact analysis of the injection molding process: analysis of the processing of high-density polyethylene parts. Journal of Cleaner Production. 108. 80–89. 33 indexed citations
14.
Santolaria, Jorge, et al.. (2014). ROTATION ERROR MODELING AND IDENTIFICATION FOR ROBOT KINEMATIC CALIBRATION BY CIRCLE POINT METHOD. Metrology and Measurement Systems. 21(1). 85–98. 31 indexed citations
15.
Elduque, Daniel, et al.. (2014). The Influence of Different Recycling Scenarios on the Mechanical Design of an LED Weatherproof Light Fitting. Materials. 7(8). 5769–5788. 8 indexed citations
16.
Javierre, Carlos, et al.. (2012). Influence of the Recycled Material Percentage on the Mechanical Behaviour of HDPE for Injection Moulding Process for an Ecologycal Design. Advanced materials research. 445. 935–940. 3 indexed citations
17.
Sarasa, Judith, José Gracia, & Carlos Javierre. (2009). Study of the biodisintegration of a bioplastic material waste. Bioresource Technology. 100(15). 3764–3768. 94 indexed citations
18.
Fernández, Ángel, et al.. (2008). Large thermoplastic parts quality improvements using monitorized nozzle. Strojniški vestnik – Journal of Mechanical Engineering. 54(4). 258–265. 3 indexed citations
19.
Javierre, Carlos, et al.. (2006). Influence of the recycled material percentage on the rheological behaviour of HDPE for injection moulding process. Waste Management. 27(5). 656–663. 23 indexed citations
20.
Javierre, Carlos, et al.. (2005). Criteria on feeding system design: Conventional and sequential injection moulding. Journal of Materials Processing Technology. 171(3). 373–384. 5 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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