Ángel Suescun

419 total citations
22 papers, 294 citations indexed

About

Ángel Suescun is a scholar working on Control and Systems Engineering, Automotive Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ángel Suescun has authored 22 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Control and Systems Engineering, 5 papers in Automotive Engineering and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ángel Suescun's work include Transportation Planning and Optimization (4 papers), Hand Gesture Recognition Systems (4 papers) and Transportation and Mobility Innovations (3 papers). Ángel Suescun is often cited by papers focused on Transportation Planning and Optimization (4 papers), Hand Gesture Recognition Systems (4 papers) and Transportation and Mobility Innovations (3 papers). Ángel Suescun collaborates with scholars based in Spain, Sweden and Switzerland. Ángel Suescun's co-authors include Teresa Gutiérrez, Jorge Rodríguez-Arce, MariAnne Karlsson, Ronan Boulic, Manuel Lorca, Luis Unzueta, Emilio Sánchez, Xuguang Wang, Aitor Cazón and Oskar Rexfelt and has published in prestigious journals such as Transportation Research Part C Emerging Technologies, SAE technical papers on CD-ROM/SAE technical paper series and Applied Sciences.

In The Last Decade

Ángel Suescun

21 papers receiving 277 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ángel Suescun Spain 11 80 79 74 52 52 22 294
José E. Naranjo Ecuador 8 54 0.7× 62 0.8× 38 0.5× 8 0.2× 37 0.7× 22 210
Yugang Liu China 11 38 0.5× 16 0.2× 67 0.9× 149 2.9× 19 0.4× 52 446
Isabelle Milleville-Pennel France 11 52 0.7× 121 1.5× 20 0.3× 19 0.4× 32 0.6× 22 322
Michael Clamann United States 9 35 0.4× 46 0.6× 33 0.4× 24 0.5× 25 0.5× 19 460
Mohamed Hussein Malaysia 10 35 0.4× 27 0.3× 77 1.0× 5 0.1× 45 0.9× 58 303
Barbara Deml Germany 9 26 0.3× 82 1.0× 44 0.6× 12 0.2× 59 1.1× 43 444
Haiwei Wang China 9 56 0.7× 16 0.2× 83 1.1× 21 0.4× 32 0.6× 17 283
Yang Ye United States 11 51 0.6× 27 0.3× 72 1.0× 4 0.1× 52 1.0× 29 328
Renran Tian United States 12 110 1.4× 21 0.3× 42 0.6× 26 0.5× 18 0.3× 43 365
Timothy Marler United States 12 41 0.5× 27 0.3× 98 1.3× 8 0.2× 44 0.8× 39 510

Countries citing papers authored by Ángel Suescun

Since Specialization
Citations

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

Fields of papers citing papers by Ángel Suescun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ángel Suescun

This figure shows the co-authorship network connecting the top 25 collaborators of Ángel Suescun. A scholar is included among the top collaborators of Ángel Suescun 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 Ángel Suescun. Ángel Suescun 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.
Borro, Diego, et al.. (2021). WARM: Wearable AR and Tablet-Based Assistant Systems for Bus Maintenance. Applied Sciences. 11(4). 1443–1443. 15 indexed citations
2.
Suescun, Ángel, et al.. (2019). Development of a Shotcrete Training Simulator for Civil Works. 4(1). 1 indexed citations
3.
Rodríguez-Arce, Jorge, et al.. (2014). The Influence of Interaction Technology on the Learning of Assembly Tasks Using Virtual Reality. Journal of Computing and Information Science in Engineering. 14(4). 41 indexed citations
4.
Suescun, Ángel, et al.. (2013). A hybrid dynamic motion prediction method for multibody digital human models based on a motion database and motion knowledge. Multibody System Dynamics. 32(1). 27–53. 6 indexed citations
5.
Suescun, Ángel, et al.. (2013). Natural and hybrid bimanual interaction for virtual assembly tasks. Virtual Reality. 18(3). 161–171. 8 indexed citations
6.
Suescun, Ángel, et al.. (2013). Decision making algorithm for bus passenger simulation during the vehicle design process. Transport Policy. 25. 178–185. 15 indexed citations
7.
Suescun, Ángel, et al.. (2013). A comparison between optimization-based human motion prediction methods: data-based, knowledge-based and hybrid approaches. Structural and Multidisciplinary Optimization. 49(1). 169–183. 8 indexed citations
8.
Rexfelt, Oskar, et al.. (2013). Evaluating the effects of bus design on passenger flow: Is agent-based simulation a feasible approach?. Transportation Research Part C Emerging Technologies. 38. 16–27. 16 indexed citations
9.
Suescun, Ángel, et al.. (2012). Passenger-Centered Design of Future Buses using Agent-based Simulation. Procedia - Social and Behavioral Sciences. 48. 1662–1671. 7 indexed citations
10.
Suescun, Ángel, et al.. (2011). An optimization method for overdetermined kinematic problems formulated with natural coordinates. Multibody System Dynamics. 26(4). 397–410. 16 indexed citations
11.
Cazón, Aitor & Ángel Suescun. (2010). Head injuries due to unrestrained objects during frontal collisions. International Journal of Crashworthiness. 15(1). 39–48. 2 indexed citations
12.
Gutiérrez, Teresa, et al.. (2010). IMA-VR: A multimodal virtual training system for skills transfer in Industrial Maintenance and Assembly tasks. TECNALIA Publications (Fundación TECNALIA Research & Innovation). 428–433. 39 indexed citations
13.
Cazón, Aitor & Ángel Suescun. (2009). A head-neck biomechanical model of a 6-year-old child for frontal crash studies. International Journal of Vehicle Safety. 4(4). 257–257.
14.
Unzueta, Luis, Manuel Lorca, Ronan Boulic, & Ángel Suescun. (2008). Full-body performance animation with Sequential Inverse Kinematics. Graphical Models. 70(5). 87–104. 32 indexed citations
15.
Boulic, Ronan, Javier Varona, Luis Unzueta, et al.. (2006). Evaluation of on-line analytic and numeric inverse kinematics approaches driven by partial vision input. Virtual Reality. 10(1). 48–61. 13 indexed citations
16.
Suescun, Ángel, et al.. (2006). Robust Human Motion Reconstruction in the Presence of Missing Markers and the Absence of Markers for Some Body Segments. SAE technical papers on CD-ROM/SAE technical paper series. 1. 11 indexed citations
17.
Boulic, Ronan, et al.. (2005). Real-Time IK Body Movement Recovery from Partial Vision Input. 1 indexed citations
18.
Wang, Xuguang, et al.. (2005). Validation of a Model-based Motion Reconstruction Method Developed in the REALMAN Project. SAE technical papers on CD-ROM/SAE technical paper series. 1. 19 indexed citations
19.
Suescun, Ángel, et al.. (2002). Integration of multibody systems in mechatronic simulation environments of any kind. International Journal of Vehicle Design. 28(1/2/3). 57–57. 8 indexed citations
20.
Suescun, Ángel, et al.. (1996). Use of Inverse Dynamics in the Development of Tilt Control Strategies for Rail Vehicles. Vehicle System Dynamics. 25(sup1). 655–667. 8 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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