Håkan Schunnesson

1.3k total citations
73 papers, 945 citations indexed

About

Håkan Schunnesson is a scholar working on Mechanical Engineering, Control and Systems Engineering and Mechanics of Materials. According to data from OpenAlex, Håkan Schunnesson has authored 73 papers receiving a total of 945 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Mechanical Engineering, 30 papers in Control and Systems Engineering and 26 papers in Mechanics of Materials. Recurrent topics in Håkan Schunnesson's work include Mining Techniques and Economics (29 papers), Mineral Processing and Grinding (29 papers) and Drilling and Well Engineering (19 papers). Håkan Schunnesson is often cited by papers focused on Mining Techniques and Economics (29 papers), Mineral Processing and Grinding (29 papers) and Drilling and Well Engineering (19 papers). Håkan Schunnesson collaborates with scholars based in Sweden, Canada and Australia. Håkan Schunnesson's co-authors include Anna Gustafson, David Saiang, Daniel Johansson, Johan Funehag, Uday Kumar, Diego Galar, Uday Kumar, Arne Nissen, Jacek Paraszczak and Jenny Greberg and has published in prestigious journals such as PLoS ONE, International Journal of Rock Mechanics and Mining Sciences and Engineering Geology.

In The Last Decade

Håkan Schunnesson

68 papers receiving 897 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Håkan Schunnesson Sweden 19 533 447 437 380 198 73 945
Seyed Hadi Hoseinie Iran 15 445 0.8× 430 1.0× 308 0.7× 414 1.1× 120 0.6× 71 906
Krzysztof Skrzypkowski Poland 22 200 0.4× 551 1.2× 130 0.3× 640 1.7× 56 0.3× 86 1.1k
Beom-Seon Jang South Korea 18 386 0.7× 246 0.6× 185 0.4× 241 0.6× 79 0.4× 95 927
Anna Gustafson Sweden 13 231 0.4× 107 0.2× 107 0.2× 139 0.4× 169 0.9× 45 454
Saeid R. Dindarloo United States 14 169 0.3× 190 0.4× 67 0.2× 143 0.4× 102 0.5× 19 529
Jichuan Kang China 16 199 0.4× 77 0.2× 209 0.5× 135 0.4× 334 1.7× 46 932
Hans Hopman Netherlands 17 181 0.3× 138 0.3× 343 0.8× 187 0.5× 143 0.7× 68 828
Javad Sattarvand United States 13 275 0.5× 83 0.2× 75 0.2× 99 0.3× 262 1.3× 48 668
Bingyuan Hong China 15 187 0.4× 128 0.3× 224 0.5× 44 0.1× 79 0.4× 64 669

Countries citing papers authored by Håkan Schunnesson

Since Specialization
Citations

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

Fields of papers citing papers by Håkan Schunnesson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Håkan Schunnesson

This figure shows the co-authorship network connecting the top 25 collaborators of Håkan Schunnesson. A scholar is included among the top collaborators of Håkan Schunnesson 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 Håkan Schunnesson. Håkan Schunnesson 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.
Gustafson, Anna, et al.. (2025). End-Users’ Perspectives on Digitalisation and Automation—Insights from the Swedish Mining Industry. Mining Metallurgy & Exploration. 42(2). 571–582.
2.
Johansson, Daniel, et al.. (2022). Crusher to Mill Transportation Time Calculation—The Aitik Case. Minerals. 12(2). 147–147. 3 indexed citations
3.
Schunnesson, Håkan, et al.. (2022). Predicting rock fragmentation based on drill monitoring: A case study from Malmberget mine, Sweden. Journal of the Southern African Institute of Mining and Metallurgy. 122(3). 1–11. 8 indexed citations
4.
Funehag, Johan, et al.. (2020). Rock support prediction based on measurement while drilling technology. Bulletin of Engineering Geology and the Environment. 80(2). 1449–1465. 33 indexed citations
5.
Funehag, Johan, et al.. (2020). Drill Monitoring for Rock Mass Grouting: Case Study at the Stockholm Bypass. Rock Mechanics and Rock Engineering. 54(2). 501–511. 23 indexed citations
6.
Schunnesson, Håkan, et al.. (2019). Application of Measurement While Drilling Technology to Predict Rock Mass Quality and Rock Support for Tunnelling. Rock Mechanics and Rock Engineering. 53(3). 1349–1358. 59 indexed citations
7.
Gustafson, Anna, et al.. (2018). Development of a geological model for chargeability assessment of borehole using drill monitoring technique. International Journal of Rock Mechanics and Mining Sciences. 109. 9–18. 38 indexed citations
8.
Johansson, Daniel, et al.. (2018). The Influence of Blast Fragmentation on Loadability in Sublevel Caving. 1 indexed citations
9.
Johansson, Daniel, et al.. (2017). Utilizing production data to predict operational disturbances in sublevel caving. KTH Publication Database DiVA (KTH Royal Institute of Technology). 139–144. 3 indexed citations
10.
Schunnesson, Håkan, et al.. (2016). Evaluation of Alternative Techniques for Excavation Damage Characterization. 2. 1168–1177. 2 indexed citations
11.
Paraszczak, Jacek, Anna Gustafson, & Håkan Schunnesson. (2015). Technical and operational aspects of autonomous LHD application in metal mines. International Journal of Mining Reclamation and Environment. 29(5). 391–403. 29 indexed citations
12.
Schunnesson, Håkan, et al.. (2015). An Approach to Realizing Process Control for Underground Mining Operations of Mobile Machines. PLoS ONE. 10(6). e0129572–e0129572. 3 indexed citations
13.
Greberg, Jenny, et al.. (2015). Production rate comparison using different Load-Haul-Dump fleet configurations: Case study from Kiirunavaara Mine. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1 indexed citations
14.
Schunnesson, Håkan, et al.. (2012). Evaluation of track geometry degradation in Swedish heavy haul railroad : a case study. 15(2). 11–16. 2 indexed citations
15.
Schunnesson, Håkan, et al.. (2012). Condition monitoring of wheel wear on iron ore wagons. 15(2). 26–33. 4 indexed citations
16.
Schunnesson, Håkan, et al.. (2012). Condition monitoring of rolling stock using wheel/rail forces. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1. 560–568. 3 indexed citations
17.
Schunnesson, Håkan, et al.. (2011). MEASUREMENTS AND ANALYSIS OF ELECTROMAGNETIC INTERFERENCE IN A RAILWAY SIGNAL BOX — A CASE STUDY. International Journal of Reliability Quality and Safety Engineering. 18(3). 285–303. 3 indexed citations
18.
Schunnesson, Håkan, et al.. (2009). Production control and optimization in open pit mining using a drill monitoring system and an image analysis system : a case study from Aitik copper mine in Sweden. International Conference on Multimedia Information Networking and Security. 57(9). 244–251. 1 indexed citations
19.
Schunnesson, Håkan, et al.. (2009). Causes of EMC disturbance on the railway : a study of recurring faults in the signal box at Oxmyran station in Sweden. 12(2). 20–29.
20.
Schunnesson, Håkan, et al.. (1997). Drill monitoring for geological mine planning in the Viscaria copper mine, Sweden. 90(1013). 83–89. 13 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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