David Samper

771 total citations
36 papers, 634 citations indexed

About

David Samper is a scholar working on Mechanical Engineering, Computer Vision and Pattern Recognition and Statistics, Probability and Uncertainty. According to data from OpenAlex, David Samper has authored 36 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Mechanical Engineering, 12 papers in Computer Vision and Pattern Recognition and 11 papers in Statistics, Probability and Uncertainty. Recurrent topics in David Samper's work include Advanced Measurement and Metrology Techniques (26 papers), Advanced machining processes and optimization (14 papers) and Scientific Measurement and Uncertainty Evaluation (11 papers). David Samper is often cited by papers focused on Advanced Measurement and Metrology Techniques (26 papers), Advanced machining processes and optimization (14 papers) and Scientific Measurement and Uncertainty Evaluation (11 papers). David Samper collaborates with scholars based in Spain and France. David Samper's co-authors include Jorge Santolaria, Juan José Aguilar Martín, Sergio Aguado, Jesús Velázquez, C. Sanz, M.J. Garrido, Fernando Pescador, Eduardo Juárez, Ángel Fernández and Mickaël Raulet and has published in prestigious journals such as Sensors, International Journal of Machine Tools and Manufacture and The International Journal of Advanced Manufacturing Technology.

In The Last Decade

David Samper

36 papers receiving 609 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Samper Spain 15 497 202 192 124 121 36 634
Wenjie Tian China 14 407 0.8× 93 0.5× 146 0.8× 285 2.3× 34 0.3× 64 636
Jafar Jamshidi United Kingdom 11 251 0.5× 105 0.5× 90 0.5× 32 0.3× 49 0.4× 21 399
Makoto Kajitani Japan 11 241 0.5× 119 0.6× 23 0.1× 127 1.0× 107 0.9× 59 419
Xiangdong Zhou China 12 207 0.4× 70 0.3× 113 0.6× 142 1.1× 17 0.1× 35 353
J. A. Brandon United Kingdom 13 263 0.5× 34 0.2× 25 0.1× 199 1.6× 95 0.8× 65 754
Paul Zsombor-Murray Canada 14 107 0.2× 193 1.0× 66 0.3× 370 3.0× 9 0.1× 39 587
Leila Notash Canada 15 182 0.4× 66 0.3× 28 0.1× 640 5.2× 17 0.1× 64 735
Xiaoxiao Li China 12 162 0.3× 149 0.7× 27 0.1× 183 1.5× 8 0.1× 38 466
Xiufeng Wang China 14 513 1.0× 31 0.2× 24 0.1× 394 3.2× 28 0.2× 37 671
E.N. Malamas Greece 5 120 0.2× 330 1.6× 137 0.7× 17 0.1× 9 0.1× 6 595

Countries citing papers authored by David Samper

Since Specialization
Citations

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

Fields of papers citing papers by David Samper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Samper

This figure shows the co-authorship network connecting the top 25 collaborators of David Samper. A scholar is included among the top collaborators of David Samper 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 David Samper. David Samper 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.
Aguado, Sergio, Jesús Velázquez, & David Samper. (2016). Modelling of Computer-Assisted Machine Tool Volumetric Verification Process. International Journal of Simulation Modelling. 15(3). 497–510. 6 indexed citations
2.
Santolaria, Jorge, et al.. (2016). Efficient volumetric error compensation technique for additive manufacturing machines. Rapid Prototyping Journal. 22(1). 2–19. 19 indexed citations
3.
Aguado, Sergio, Jorge Santolaria, David Samper, & Juan José Aguilar Martín. (2016). Forecasting method in multilateration accuracy based on laser tracker measurement. Measurement Science and Technology. 28(2). 25011–25011. 15 indexed citations
4.
Aguado, Sergio, Jorge Santolaria, Juan José Aguilar Martín, David Samper, & Jesús Velázquez. (2015). Improving the Accuracy of a Machine Tool with Three Linear Axes using a Laser Tracker as Measurement System. Procedia Engineering. 132. 756–763. 5 indexed citations
5.
Aguado, Sergio, Jorge Santolaria, David Samper, & Juan José Aguilar Martín. (2014). A Strategy for Geometric Error Characterization in Multi-Axis Machine Tool by Use of a Laser Tracker. Key engineering materials. 615. 22–31. 2 indexed citations
6.
Aguado, Sergio, Jorge Santolaria, David Samper, & Juan José Aguilar Martín. (2014). Protocol for machine tool volumetric verification using commercial laser tracker. The International Journal of Advanced Manufacturing Technology. 75(1-4). 425–444. 18 indexed citations
7.
Aguado, Sergio, David Samper, Jorge Santolaria, & Juan José Aguilar Martín. (2014). Volumetric Verification of Multiaxis Machine Tool Using Laser Tracker. The Scientific World JOURNAL. 2014. 1–16. 18 indexed citations
8.
Aguado, Sergio, Jorge Santolaria, David Samper, & Juan José Aguilar Martín. (2013). Influence of measurement noise and laser arrangement on measurement uncertainty of laser tracker multilateration in machine tool volumetric verification. Precision Engineering. 37(4). 929–943. 44 indexed citations
9.
Santolaria, Jorge, et al.. (2013). Computational model for the control, performance evaluation, and calibration of a parallel mechanism. The International Journal of Advanced Manufacturing Technology. 69(9-12). 1971–1979. 7 indexed citations
10.
Santolaria, Jorge, et al.. (2013). Education Software for the Modelling and Calibration of Kinematic Mechanisms. Procedia Engineering. 63. 167–173. 1 indexed citations
11.
Santolaria, Jorge, et al.. (2012). Analysis and evaluation of objective functions in kinematic calibration of parallel mechanisms. The International Journal of Advanced Manufacturing Technology. 66(5-8). 751–761. 21 indexed citations
12.
Samper, David, et al.. (2011). A DSP based H.264/SVC decoder for a multimedia terminal. HAL (Le Centre pour la Communication Scientifique Directe). 401–402. 1 indexed citations
13.
Santolaria, Jorge, et al.. (2011). Modelling and calibration of parallel mechanisms using linear optical sensors and a coordinate measuring machine. Measurement Science and Technology. 22(10). 105101–105101. 13 indexed citations
14.
15.
Aguado, Sergio, David Samper, Jorge Santolaria, & Juan José Aguilar Martín. (2011). Identification strategy of error parameter in volumetric error compensation of machine tool based on laser tracker measurements. International Journal of Machine Tools and Manufacture. 53(1). 160–169. 132 indexed citations
16.
17.
Samper, David, et al.. (2010). Comprehensive simulation software for teaching camera calibration by a constructivist methodology. Measurement. 43(5). 618–630. 7 indexed citations
18.
Pescador, Fernando, C. Sanz, M.J. Garrido, Eduardo Juárez, & David Samper. (2008). A DSP Based H.264 Decoder for a Multi-Format IP Set-Top Box. IEEE Transactions on Consumer Electronics. 54(1). 145–153. 14 indexed citations
19.
Pescador, Fernando, et al.. (2007). A real-time H.264 MP decoder based on a DM642 DSP. 1248–1251. 4 indexed citations
20.
Pescador, Fernando, et al.. (2006). MPEG-4 SP/ASP decoder for a DSP-based Multi-Format IP Set-Top Box. Proceedings of the Annual Conference of the IEEE Industrial Electronics Society. 3397–3402. 2 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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