J. Seabra

4.3k total citations
141 papers, 3.2k citations indexed

About

J. Seabra is a scholar working on Mechanical Engineering, Mechanics of Materials and Materials Chemistry. According to data from OpenAlex, J. Seabra has authored 141 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 134 papers in Mechanical Engineering, 49 papers in Mechanics of Materials and 11 papers in Materials Chemistry. Recurrent topics in J. Seabra's work include Gear and Bearing Dynamics Analysis (104 papers), Tribology and Lubrication Engineering (72 papers) and Lubricants and Their Additives (53 papers). J. Seabra is often cited by papers focused on Gear and Bearing Dynamics Analysis (104 papers), Tribology and Lubrication Engineering (72 papers) and Lubricants and Their Additives (53 papers). J. Seabra collaborates with scholars based in Portugal, Spain and United Kingdom. J. Seabra's co-authors include Ramiro C. Martins, Carlos Fernandes, J. Castro, Pedro M.T. Marques, Armando Campos, Beatriz Graça, David Gonçalves, Tiago Cousseau, D. Berthé and José M. Liñeira del Río and has published in prestigious journals such as SHILAP Revista de lepidopterología, Materials Science and Engineering A and Industrial & Engineering Chemistry Research.

In The Last Decade

J. Seabra

137 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Seabra Portugal 35 3.0k 1.5k 340 279 132 141 3.2k
Ramiro C. Martins Portugal 27 1.6k 0.5× 668 0.5× 174 0.5× 189 0.7× 46 0.3× 69 1.8k
Adolfo Senatore Italy 23 1.1k 0.4× 669 0.5× 319 0.9× 186 0.7× 139 1.1× 134 1.7k
Karsten Stahl Germany 24 2.5k 0.8× 1.2k 0.8× 427 1.3× 185 0.7× 86 0.7× 389 2.8k
Pär Marklund Sweden 22 1.1k 0.4× 838 0.6× 159 0.5× 165 0.6× 150 1.1× 93 1.6k
Le Gu China 23 1.2k 0.4× 884 0.6× 356 1.0× 179 0.6× 170 1.3× 99 1.5k
Gerhard Poll Germany 22 1.3k 0.4× 831 0.6× 186 0.5× 79 0.3× 85 0.6× 130 1.5k
Ahmad Reza Ghasemi Iran 26 730 0.2× 1.1k 0.8× 469 1.4× 138 0.5× 185 1.4× 104 1.8k
Zhehe Yao China 17 1.1k 0.4× 280 0.2× 493 1.4× 62 0.2× 348 2.6× 49 1.4k
Sheng‐Jye Hwang Taiwan 21 791 0.3× 247 0.2× 264 0.8× 66 0.2× 152 1.2× 108 1.5k
Ankit Gupta India 15 401 0.1× 936 0.6× 331 1.0× 330 1.2× 291 2.2× 68 1.4k

Countries citing papers authored by J. Seabra

Since Specialization
Citations

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

Fields of papers citing papers by J. Seabra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Seabra

This figure shows the co-authorship network connecting the top 25 collaborators of J. Seabra. A scholar is included among the top collaborators of J. Seabra 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 J. Seabra. J. Seabra 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.
Río, José M. Liñeira del, Carlos Fernandes, & J. Seabra. (2024). Tribological Improvement of Low-Viscosity Nanolubricants: MoO3, MoS2, WS2 and WC Nanoparticles as Additives. Lubricants. 12(3). 87–87. 3 indexed citations
2.
Marques, Pedro M.T., et al.. (2024). Spur gear teeth reconstruction via direct laser deposition. Forschung im Ingenieurwesen. 88(1). 2 indexed citations
3.
Castro, J. & J. Seabra. (2024). Gear scuffing: power dissipation and mass temperature. Digital Repository (Universidad Politécnica de Cartagena).
4.
Marques, Pedro M.T., et al.. (2023). Approximate expression for the single tooth pair slice mesh stiffness. Mechanism and Machine Theory. 187. 105367–105367. 10 indexed citations
5.
Marques, Pedro M.T., et al.. (2023). Crowned spur gears for constant mesh stiffness: A conceptual approach. Mechanism and Machine Theory. 189. 105426–105426. 3 indexed citations
6.
Marques, Pedro M.T., et al.. (2023). Gear mesh stiffness and dynamics: Influence of tooth pair structural stiffness asymmetry. Mechanism and Machine Theory. 190. 105447–105447. 9 indexed citations
7.
Poletto, Jean Carlos, et al.. (2023). Identification of gear wear damage using topography analysis. Wear. 522. 204837–204837. 11 indexed citations
8.
Fernandes, Carlos, et al.. (2023). Direct Energy Deposition Parametric Simulation Investigation in Gear Repair Applications. Materials. 16(9). 3549–3549. 8 indexed citations
9.
Fernandes, Carlos, et al.. (2023). Testing and modelling of a 2.5 MW wind turbine gearbox: Influence of lubricant formulation. Forschung im Ingenieurwesen. 87(3). 1137–1149. 1 indexed citations
10.
Carneiro, Gonçalo, et al.. (2023). Gear design optimization: Stiffness versus dynamics. Mechanism and Machine Theory. 191. 105503–105503. 8 indexed citations
11.
Bartolomé, M., et al.. (2023). Phosphonium-based ionic liquids as grease additives in rolling bearing tests. Journal of Molecular Liquids. 382. 122013–122013. 3 indexed citations
12.
Reis, Ana, et al.. (2022). Mechanical and microstructural characterisation of bulk Inconel 625 produced by direct laser deposition. Materials Science and Engineering A. 838. 142777–142777. 22 indexed citations
13.
Bartolomé, M., et al.. (2021). Greases additised with phosphonium-based ionic liquids - Part I: Rheology, lubricant film thickness and Stribeck curves. Tribology International. 156. 106851–106851. 14 indexed citations
14.
Franco, J.M., et al.. (2020). Tribological Investigation on the Friction and Wear Behaviors of Biogenic Lubricating Greases in Steel–Steel Contact. Applied Sciences. 10(4). 1477–1477. 16 indexed citations
15.
Río, José M. Liñeira del, Enriqueta R. López, Manuel A. González‐Gómez, et al.. (2020). Tribological Behavior of Nanolubricants Based on Coated Magnetic Nanoparticles and Trimethylolpropane Trioleate Base Oil. Nanomaterials. 10(4). 683–683. 43 indexed citations
16.
Seabra, J., et al.. (2016). Surface fitting of an involute spur gear tooth flank roughness measurement to its nominal shape. Measurement. 91. 479–487. 17 indexed citations
17.
Cousseau, Tiago, Beatriz Graça, Armando Campos, & J. Seabra. (2015). Grease Aging Effects on Film Formation under Fully-Flooded and Starved Lubrication. Lubricants. 3(2). 197–221. 26 indexed citations
18.
Martins, Ramiro C., et al.. (2012). Surface damage prediction during an FZG gear micropitting test. Proceedings of the Institution of Mechanical Engineers Part J Journal of Engineering Tribology. 226(12). 1051–1073. 14 indexed citations
19.
Garcia, Paula, et al.. (2010). Skeletal complications in mucopolysaccharidosis VI patients: Case reports. Journal of Pediatric Rehabilitation Medicine. 3(1). 63–69. 11 indexed citations
20.
Martins, Ramiro C., et al.. (2006). MoS2/Ti low-friction coating for gears. Tribology International. 39(12). 1686–1697. 40 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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