Erik Vanhatalo

576 total citations
24 papers, 427 citations indexed

About

Erik Vanhatalo is a scholar working on Statistics, Probability and Uncertainty, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, Erik Vanhatalo has authored 24 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Statistics, Probability and Uncertainty, 11 papers in Control and Systems Engineering and 8 papers in Mechanical Engineering. Recurrent topics in Erik Vanhatalo's work include Advanced Statistical Process Monitoring (14 papers), Fault Detection and Control Systems (11 papers) and Optimal Experimental Design Methods (6 papers). Erik Vanhatalo is often cited by papers focused on Advanced Statistical Process Monitoring (14 papers), Fault Detection and Control Systems (11 papers) and Optimal Experimental Design Methods (6 papers). Erik Vanhatalo collaborates with scholars based in Sweden, Denmark and Finland. Erik Vanhatalo's co-authors include Bjarne Bergquist, Murat Külahçı, Osmo Kauppila, Kerstin Vännman, Magnus Lundberg Nordenvaad, Athanasios Migdalas and Ahmet Palazoğlu and has published in prestigious journals such as Reliability Engineering & System Safety, Powder Technology and Chemometrics and Intelligent Laboratory Systems.

In The Last Decade

Erik Vanhatalo

24 papers receiving 411 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erik Vanhatalo Sweden 11 182 126 122 58 48 24 427
G.I. Sainz-Palmero Spain 15 292 1.6× 166 1.3× 62 0.5× 26 0.4× 24 0.5× 47 559
Hanwen Zhang China 14 264 1.5× 164 1.3× 86 0.7× 18 0.3× 14 0.3× 44 519
Jian Qu Canada 10 238 1.3× 194 1.5× 56 0.5× 11 0.2× 13 0.3× 35 482
Antonio Lepore Italy 12 67 0.4× 36 0.3× 155 1.3× 100 1.7× 39 0.8× 35 438
Mali Abdollahian Australia 14 97 0.5× 23 0.2× 177 1.5× 39 0.7× 72 1.5× 71 458
V.P. Agrawal India 10 151 0.8× 67 0.5× 25 0.2× 93 1.6× 227 4.7× 19 444
Xun Xiao New Zealand 10 22 0.1× 66 0.5× 56 0.5× 30 0.5× 31 0.6× 36 329
Jean‐Marie Flaus France 12 178 1.0× 21 0.2× 67 0.5× 19 0.3× 25 0.5× 56 448
Gabriela Medina-Oliva France 7 147 0.8× 72 0.6× 412 3.4× 48 0.8× 45 0.9× 11 662
Souvik Das India 11 135 0.7× 19 0.2× 87 0.7× 15 0.3× 158 3.3× 31 423

Countries citing papers authored by Erik Vanhatalo

Since Specialization
Citations

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

Fields of papers citing papers by Erik Vanhatalo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erik Vanhatalo

This figure shows the co-authorship network connecting the top 25 collaborators of Erik Vanhatalo. A scholar is included among the top collaborators of Erik Vanhatalo 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 Erik Vanhatalo. Erik Vanhatalo 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.
Bergquist, Bjarne, et al.. (2022). Data‐driven maintenance planning and scheduling based on predicted railway track condition. Quality and Reliability Engineering International. 38(7). 3689–3709. 15 indexed citations
2.
Vanhatalo, Erik, et al.. (2022). Integrating mixture experiments and six sigma methodology to improve fibre‐reinforced polymer composites. Quality and Reliability Engineering International. 38(4). 2233–2254. 4 indexed citations
3.
Kauppila, Osmo, et al.. (2021). A taxonomy of railway track maintenance planning and scheduling: A review and research trends. Reliability Engineering & System Safety. 215. 107827–107827. 70 indexed citations
4.
Vanhatalo, Erik, et al.. (2020). On monitoring industrial processes under feedback control. Quality and Reliability Engineering International. 36(8). 2720–2737. 3 indexed citations
5.
Bergquist, Bjarne, et al.. (2018). Statistical methods – still ignored? The testimony of Swedish alumni. Total Quality Management & Business Excellence. 31(3-4). 245–262. 8 indexed citations
6.
Bergquist, Bjarne, et al.. (2017). Exploring the Use of Design of Experiments in Industrial Processes Operating Under Closed‐Loop Control. Quality and Reliability Engineering International. 33(7). 1601–1614. 3 indexed citations
7.
Vanhatalo, Erik, Murat Külahçı, & Bjarne Bergquist. (2017). On the structure of dynamic principal component analysis used in statistical process monitoring. Chemometrics and Intelligent Laboratory Systems. 167. 1–11. 74 indexed citations
8.
Vanhatalo, Erik, et al.. (2017). Managerial implications for improving continuous production processes. 1 indexed citations
9.
Bergquist, Bjarne, et al.. (2014). Performance-based logistics – an illusive panacea or a concept for the future?. Journal of Manufacturing Technology Management. 25(7). 958–979. 22 indexed citations
10.
Vanhatalo, Erik, et al.. (2014). Identifying Process Dynamics through a Two-Level Factorial Experiment. Quality Engineering. 26(2). 154–167. 1 indexed citations
11.
Vanhatalo, Erik & Murat Külahçı. (2014). The Effect of Autocorrelation on the Hotelling T2 Control Chart. Quality and Reliability Engineering International. 31(8). 1779–1796. 40 indexed citations
12.
Vanhatalo, Erik, Bjarne Bergquist, & Kerstin Vännman. (2012). Towards Improved Analysis Methods for Two‐Level Factorial Experiments with Time Series Responses. Quality and Reliability Engineering International. 29(5). 725–741. 7 indexed citations
13.
Bergquist, Bjarne, Erik Vanhatalo, & Magnus Lundberg Nordenvaad. (2011). A Bayesian Analysis of Unreplicated Two-Level Factorials Using Effects Sparsity, Hierarchy, and Heredity. Quality Engineering. 23(2). 152–166. 14 indexed citations
14.
Vanhatalo, Erik, et al.. (2010). A Method to Determine Transition Time for Experiments in Dynamic Processes. Quality Engineering. 23(1). 30–45. 9 indexed citations
15.
Vanhatalo, Erik. (2009). Multivariate process monitoring of an experimental blast furnace. Quality and Reliability Engineering International. 26(5). 495–508. 24 indexed citations
16.
Vanhatalo, Erik, et al.. (2009). Using RFID to improve traceability in process industry. Journal of Manufacturing Technology Management. 21(1). 139–154. 19 indexed citations
17.
Vanhatalo, Erik. (2009). On design of experiments in continuous processes. KTH Publication Database DiVA (KTH Royal Institute of Technology). 2 indexed citations
18.
Vanhatalo, Erik & Kerstin Vännman. (2008). Using factorial design and multivariate analysis when experimenting in a continuous process. Quality and Reliability Engineering International. 24(8). 983–995. 8 indexed citations
19.
Vanhatalo, Erik, et al.. (2007). A designed experiment in a continuous process. Epubl LTU. 1 indexed citations
20.
Vanhatalo, Erik & Bjarne Bergquist. (2007). Special Considerations when Planning Experiments in a Continuous Process. Quality Engineering. 19(3). 155–169. 24 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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