Mikael Nilsson

1.2k citations
29 papers · 908 indexed · h-index 16

Mikael Nilsson

29 papers receiving 865 citations

Peers

Mikael Nilsson
Comparison fields: 5 of 110
  • Physiology 250
  • Cell Biology 144
  • Endocrinology, Diabetes and Metabolism 146
  • Nutrition and Dietetics 94
  • Computational Mechanics 106
Replace Yuefei Liu with:
Yuefei Liu China
Young In Kim South Korea
Avlant Nilsson Sweden
Giacomo Di Benedetto Italy
Chao Han China
Vincent Schlageter Denmark
Alireza Razavi Iran
Xiaoli Lin China
Walter A. Johnson United States
Yingxin Gao United States
Mikael Nilsson relative to Yuefei Liu China Yuefei Liu's profile →
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Citations per year

Countries citing papers authored by Mikael Nilsson

Since Specialization
Citations

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

Fields of papers citing papers by Mikael Nilsson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Mikael Nilsson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mikael Nilsson Line = papers co-authored together Mikael Nilsson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20233
2 20214
3 202121
4 201916
5 201743
6
Dynamic Calibration of Pressure Sensors
20161
7
On multilink shadowing effects in measured V2V channels on highway
201519
8 201518
9 201437
10
Multipath propagation simulator for V2X Communication Tests on Cars
201310
11
Determination of Joint Shear Strenght using Photogrammetry
20111
12 200724
13 20059
14 2004351
15 200311
16 200135
17 199948
18 199932
19 199728
20 199631

About Mikael Nilsson

Mikael Nilsson is a scholar working on Filtration and Separation, Physical and Theoretical Chemistry, Geology, Computational Mechanics and Computer Vision and Pattern Recognition, having authored 29 papers that have together received 908 indexed citations. Recurring topics across this work include Vehicular Ad Hoc Networks (VANETs) (6 papers), Millimeter-Wave Propagation and Modeling (5 papers), Power Line Communications and Noise (5 papers), Field-Flow Fractionation Techniques (4 papers), thermodynamics and calorimetric analyses (4 papers), Diabetes and associated disorders (3 papers), Electromagnetic Compatibility and Measurements (3 papers) and Electromagnetic Compatibility and Noise Suppression (2 papers). The work is most often cited by research in Physiology (250 citations), Cell Biology (144 citations), Endocrinology, Diabetes and Metabolism (146 citations), Nutrition and Dietetics (94 citations) and Computational Mechanics (106 citations). Mikael Nilsson has collaborated with scholars based in Sweden, United States and Denmark. Frequent co-authors include Inger Björck, Anders Frid, Jens J. Holst, M. Stenberg, Fredrik Tufvesson, Taimoor Abbas, Karl‐Gustav Wahlund, Leif Bülow, Carl Gustafson and Göran Hallmans. Their work appears in journals such as Journal of Internal Medicine, IEEE Transactions on Vehicular Technology, Biotechnology and Bioengineering, European Journal of Clinical Nutrition and IEEE Transactions on Industrial Electronics.

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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