Mats Sigvant

534 total citations
50 papers, 391 citations indexed

About

Mats Sigvant is a scholar working on Mechanical Engineering, Mechanics of Materials and Computational Mechanics. According to data from OpenAlex, Mats Sigvant has authored 50 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Mechanical Engineering, 42 papers in Mechanics of Materials and 10 papers in Computational Mechanics. Recurrent topics in Mats Sigvant's work include Metal Forming Simulation Techniques (42 papers), Metallurgy and Material Forming (34 papers) and Laser and Thermal Forming Techniques (9 papers). Mats Sigvant is often cited by papers focused on Metal Forming Simulation Techniques (42 papers), Metallurgy and Material Forming (34 papers) and Laser and Thermal Forming Techniques (9 papers). Mats Sigvant collaborates with scholars based in Sweden, Netherlands and Romania. Mats Sigvant's co-authors include Kjell Mattiasson, H. Vegter, J. Hol, A.H. van den Boogaard, J.H. Wiebenga, Dorel Banabic, Sharon Kao‐Walter, Mats Larsson, Christian Johansson and Dan Sorin Comşa and has published in prestigious journals such as International Journal of Solids and Structures, International Journal of Mechanical Sciences and Thin-Walled Structures.

In The Last Decade

Mats Sigvant

43 papers receiving 370 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mats Sigvant Sweden 10 369 327 91 64 42 50 391
Kerim Isik Germany 9 377 1.0× 333 1.0× 173 1.9× 47 0.7× 13 0.3× 19 390
Y.T. Keum South Korea 11 358 1.0× 327 1.0× 98 1.1× 65 1.0× 15 0.4× 29 393
Eisso Atzema Netherlands 9 291 0.8× 190 0.6× 126 1.4× 26 0.4× 23 0.5× 34 327
P. Hora Switzerland 10 301 0.8× 270 0.8× 84 0.9× 46 0.7× 18 0.4× 38 325
Miroslav Tomáš Slovakia 11 258 0.7× 164 0.5× 66 0.7× 59 0.9× 35 0.8× 51 299
Rasoul Safdarian Iran 12 346 0.9× 238 0.7× 80 0.9× 39 0.6× 11 0.3× 23 354
F. Dohmann Germany 4 375 1.0× 339 1.0× 102 1.1× 54 0.8× 15 0.4× 4 381
Shijian Yuan China 14 437 1.2× 354 1.1× 150 1.6× 71 1.1× 13 0.3× 37 452
Mustafa İlhan Gökler Türkiye 8 220 0.6× 118 0.4× 44 0.5× 66 1.0× 29 0.7× 19 297
Jean‐Loup Chenot France 11 230 0.6× 203 0.6× 57 0.6× 34 0.5× 16 0.4× 27 289

Countries citing papers authored by Mats Sigvant

Since Specialization
Citations

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

Fields of papers citing papers by Mats Sigvant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mats Sigvant

This figure shows the co-authorship network connecting the top 25 collaborators of Mats Sigvant. A scholar is included among the top collaborators of Mats Sigvant 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 Mats Sigvant. Mats Sigvant 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.
Pham, Quoc Tuan, et al.. (2024). Uncertainty quantification for conical hole expansion test of DP800 sheet metal. International Journal of Material Forming. 18(1).
2.
Chezan, A.R., et al.. (2024). Creating a Virtual Shadow of the Manufacturing of Automotive Components. IOP Conference Series Materials Science and Engineering. 1307(1). 12037–12037.
3.
Pham, Quoc Tuan, et al.. (2023). Improvement of modified maximum force criterion for forming limit diagram prediction of sheet metal. International Journal of Solids and Structures. 273. 112264–112264. 7 indexed citations
4.
5.
Sigvant, Mats, et al.. (2023). Proposal of a New Tool for Pre-Straining Operations of Sheet Metals and an Initial Investigation of CR4 Mild Steel Formability. IOP Conference Series Materials Science and Engineering. 1284(1). 12079–12079.
6.
Sigvant, Mats, et al.. (2023). Three Industrial Cases of Sheet Metal Forming Simulations with Elastic Dies. IOP Conference Series Materials Science and Engineering. 1284(1). 12055–12055. 3 indexed citations
7.
Hol, J., et al.. (2023). Friction and lubrication modelling in sheet metal forming: Influence of local tool roughness on product quality. IOP Conference Series Materials Science and Engineering. 1284(1). 12087–12087. 3 indexed citations
8.
Chezan, A.R., et al.. (2023). Material variability effects on automotive part production process. IOP Conference Series Materials Science and Engineering. 1284(1). 12037–12037. 2 indexed citations
9.
Pham, Quoc Tuan, et al.. (2023). An evaluation method for experimental necking detection of automotive sheet metals. IOP Conference Series Materials Science and Engineering. 1284(1). 12020–12020. 1 indexed citations
10.
Manopulo, Niko, et al.. (2021). On the mechanics of edge cracking and the reliable determination of edge formability limits. IOP Conference Series Materials Science and Engineering. 1157(1). 12055–12055. 1 indexed citations
11.
Banabic, Dorel, et al.. (2020). BBC05 with non-integer exponent and ambiguities in Nakajima yield surface calibration. International Journal of Material Forming. 14(4). 577–592. 18 indexed citations
12.
Sigvant, Mats, et al.. (2018). Introductory study of sheet metal forming simulations to evaluate process robustness. IOP Conference Series Materials Science and Engineering. 418. 12111–12111. 19 indexed citations
13.
Sigvant, Mats, et al.. (2017). Introduction of elastic die deformations in sheet metal forming simulations. International Journal of Solids and Structures. 151. 76–90. 21 indexed citations
14.
Sigvant, Mats, et al.. (2017). Characterizing the Elastic Behaviour of a Press Table through Topology Optimization. Journal of Physics Conference Series. 896. 12068–12068. 7 indexed citations
15.
Sigvant, Mats, Kjell Mattiasson, & Mats Larsson. (2008). THE DEFINITION OF INCIPIENT NECKING AND ITS IMPACT ON EXPERIMENTALLY OR THEORETICALLY DETERMINED FORMING LIMIT CURVES. Chalmers Publication Library (Chalmers University of Technology). 5 indexed citations
16.
Larsson, Mats, Kjell Mattiasson, & Mats Sigvant. (2007). Some observations on failure prediction in sheet metal forming. Chalmers Publication Library (Chalmers University of Technology). 1 indexed citations
17.
Mattiasson, Kjell, Mats Sigvant, & Mats Larsson. (2007). Theoretical and experimental sheet metal failure evaluation. Chalmers Publication Library (Chalmers University of Technology). 2 indexed citations
18.
Sigvant, Mats, et al.. (2007). Industrial experiences of stochastic simulations of sheet metal forming. Chalmers Publication Library (Chalmers University of Technology). 151(4). 306–8. 2 indexed citations
19.
Mattiasson, Kjell & Mats Sigvant. (2006). New non-quadratic yield locus models and their influence on the accuracy of the FEA. Chalmers Publication Library (Chalmers University of Technology). 1 indexed citations
20.
Mattiasson, Kjell & Mats Sigvant. (2005). Some aspects on material modeling in industrial sheet forming simulations. Chalmers Publication Library (Chalmers University of Technology). 1(6). 279–282. 1 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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