Martin Arvidsson

1.1k total citations
25 papers, 743 citations indexed

About

Martin Arvidsson is a scholar working on Management Science and Operations Research, Cognitive Neuroscience and Industrial and Manufacturing Engineering. According to data from OpenAlex, Martin Arvidsson has authored 25 papers receiving a total of 743 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Management Science and Operations Research, 7 papers in Cognitive Neuroscience and 6 papers in Industrial and Manufacturing Engineering. Recurrent topics in Martin Arvidsson's work include Optimal Experimental Design Methods (10 papers), Manufacturing Process and Optimization (6 papers) and Tactile and Sensory Interactions (6 papers). Martin Arvidsson is often cited by papers focused on Optimal Experimental Design Methods (10 papers), Manufacturing Process and Optimization (6 papers) and Tactile and Sensory Interactions (6 papers). Martin Arvidsson collaborates with scholars based in Sweden, Finland and France. Martin Arvidsson's co-authors include Ida Gremyr, Mark W. Rutland, Lisa Skedung, Birgitta Berglund, Christopher M. Stafford, Jun Young Chung, Per Johansson, Katrin Danerlöv, Marc Keuschnigg and Ulf Olofsson and has published in prestigious journals such as Scientific Reports, Science Advances and Tribology International.

In The Last Decade

Martin Arvidsson

22 papers receiving 705 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Arvidsson Sweden 13 261 146 146 115 112 25 743
Brian Henson United Kingdom 16 401 1.5× 164 1.1× 128 0.9× 42 0.4× 83 0.7× 47 960
Tahira Reid United States 17 141 0.5× 46 0.3× 343 2.3× 165 1.4× 81 0.7× 53 986
Matthew B. Parkinson United States 17 32 0.1× 150 1.0× 210 1.4× 114 1.0× 188 1.7× 68 945
José Antonio Diego-Más Spain 16 60 0.2× 93 0.6× 99 0.7× 165 1.4× 38 0.3× 36 838
Catherine Barnes United Kingdom 11 147 0.6× 62 0.4× 89 0.6× 115 1.0× 93 0.8× 18 487
Hyunmin Cheong Canada 14 30 0.1× 82 0.6× 414 2.8× 105 0.9× 114 1.0× 35 689
Linda Onnasch Germany 16 150 0.6× 48 0.3× 31 0.2× 47 0.4× 17 0.2× 58 1.3k
Marie‐Pierre Pacaux‐Lemoine France 14 81 0.3× 101 0.7× 32 0.2× 264 2.3× 25 0.2× 45 890
Vytautas Bučinskas Lithuania 15 187 0.7× 277 1.9× 150 1.0× 77 0.7× 10 0.1× 78 1.2k
Brian J. Melloy United States 16 133 0.5× 15 0.1× 47 0.3× 117 1.0× 9 0.1× 52 689

Countries citing papers authored by Martin Arvidsson

Since Specialization
Citations

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

Fields of papers citing papers by Martin Arvidsson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Arvidsson

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Arvidsson. A scholar is included among the top collaborators of Martin Arvidsson 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 Martin Arvidsson. Martin Arvidsson 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.
Hedström, Peter, et al.. (2025). Ethnic preferences, opportunity structures, and the school segregation process. European Sociological Review. 42(1). 72–86.
2.
Arvidsson, Martin, et al.. (2023). Urban scaling laws arise from within-city inequalities. Nature Human Behaviour. 7(3). 365–374. 32 indexed citations
3.
Arvidsson, Martin, et al.. (2021). The Trojan-horse mechanism: How networks reduce gender segregation. Science Advances. 7(16). 15 indexed citations
4.
Arvidsson, Martin, et al.. (2019). Interpretable Word Embeddings via Informative Priors. 6322–6328. 8 indexed citations
5.
Nakhaeizadeh, Sherry, et al.. (2019). The value of eye-tracking technology in the analysis and interpretations of skeletal remains: A pilot study. Science & Justice. 60(1). 36–42. 9 indexed citations
6.
Skedung, Lisa, Charles El Rawadi, Martin Arvidsson, et al.. (2018). Mechanisms of tactile sensory deterioration amongst the elderly. Scientific Reports. 8(1). 5303–5303. 56 indexed citations
7.
Skedung, Lisa, Martin Arvidsson, Jun Young Chung, et al.. (2013). Feeling Small: Exploring the Tactile Perception Limits. Scientific Reports. 3(1). 2617–2617. 179 indexed citations
8.
Johannesson, Pär, Bo Bergman, Thomas Svensson, et al.. (2012). A Robustness Approach to Reliability. Quality and Reliability Engineering International. 29(1). 17–32. 25 indexed citations
9.
Arvidsson, Anna, Per Malmberg, Per Kjellin, et al.. (2011). Early interactions between leukocytes and three different potentially bioactive titanium surface modifications. Journal of Biomedical Materials Research Part B Applied Biomaterials. 97B(2). 364–372. 4 indexed citations
10.
Skedung, Lisa, Katrin Danerlöv, Ulf Olofsson, et al.. (2010). Tactile perception: Finger friction, surface roughness and perceived coarseness. Tribology International. 44(5). 505–512. 100 indexed citations
11.
Arvidsson, Martin, Birgitta Berglund, Lisa Skedung, et al.. (2009). Multidimensional psychophysics : surface feel of printing paper as a function of physical properties. 25(1). 215–220. 1 indexed citations
12.
Arvidsson, Martin, et al.. (2008). An Operationalization of Robust Design Methodology. 6 indexed citations
13.
Arvidsson, Martin, et al.. (2008). A review of practices for robust design methodology. Journal of Engineering Design. 20(6). 645–657. 63 indexed citations
14.
Arvidsson, Martin & Ida Gremyr. (2007). Principles of robust design methodology. Quality and Reliability Engineering International. 24(1). 23–35. 97 indexed citations
15.
Carlsson, A. E., et al.. (2007). Robust Design Methodology in a Generic Product Design Process. Total Quality Management & Business Excellence. 18(4). 351–362. 14 indexed citations
16.
Johansson, Per, et al.. (2005). Using VMEA to Facilitate the Preparation of Robust Design Experimentation. Chalmers Research (Chalmers University of Technology). 1 indexed citations
17.
Arvidsson, Martin & Ida Gremyr. (2005). A Review of Robust Design. Chalmers Publication Library (Chalmers University of Technology). 3 indexed citations
18.
Gremyr, Ida, Martin Arvidsson, & Per Johansson. (2003). Robust Design Methodology: Status in the Swedish Manufacturing Industry. Quality and Reliability Engineering International. 19(4). 285–293. 45 indexed citations
19.
Arvidsson, Martin, Ida Gremyr, & Per Johansson. (2002). Use and Knowledge of Robust Design - A Survey of Swedish Industry. Chalmers Publication Library (Chalmers University of Technology). 5 indexed citations
20.
Arvidsson, Martin, et al.. (2001). Identification of factors influencing dispersion in split-plot experiments. Journal of Applied Statistics. 28(3-4). 269–283. 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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