Daniel Nyström

1.5k citations
65 papers · 1.3k · h-index 16

Impact in

Papers in

Daniel Nyström

55 papers receiving 1.2k citations

Peers

Daniel Nyström
Comparison fields: 5 of 105
  • Surfaces, Coatings and Films 364
  • Polymers and Plastics 348
  • Biomaterials 316
  • Organic Chemistry 463
  • Health Information Management 50
Replace Yue Zhao with:
Yue Zhao Japan
Jianxin Chen China
Blair Brettmann United States
Alec B. Scranton United States
Qian Qiu China
Liangshun Zhang China
Miroslava Dušková‐Smrčková Czechia
Geoffrey R. Davies United Kingdom
Jun Hyuk Heo South Korea
Enrique M. Vallés Argentina
Daniel Nyström relative to Yue Zhao Japan Yue Zhao's profile →
Citations per field
00.5×1.5×2.2×
Yue Zhao · 1×
Citations per year

Countries citing papers authored by Daniel Nyström

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Nyström

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Nyström, 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 Daniel Nyström Line = papers co-authored together Daniel Nyström links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006137
2 2008132
3 2008125
4 2009121
5 2007117
6 201781
7 200778
8 200968
9 200656
10 200852
11 200834
12 200833
13 201033
14 200527
15 200619
16 200718
17 201814
18 200914
19 200511
20 20129

About Daniel Nyström

Daniel Nyström is a scholar working on Atomic and Molecular Physics, and Optics, Organic Chemistry, Social Psychology, Computer Vision and Pattern Recognition and Polymers and Plastics, having authored 65 papers that have together received 1.3k indexed citations. Recurring topics across this work include Color Science and Applications (30 papers), Color perception and design (10 papers), Industrial Vision Systems and Defect Detection (8 papers), Image Enhancement Techniques (8 papers), Dendrimers and Hyperbranched Polymers (6 papers), Advanced Polymer Synthesis and Characterization (6 papers), Electronic Health Records Systems (5 papers) and Click Chemistry and Applications (5 papers). The work is most often cited by research in Surfaces, Coatings and Films (364 citations), Polymers and Plastics (348 citations), Biomaterials (316 citations), Organic Chemistry (463 citations) and Health Information Management (50 citations). Daniel Nyström has collaborated with scholars based in Sweden, United States and Norway. Frequent co-authors include Anders Hult, Eva Malmström, Per Antoni, Emma Östmark, Josefina Lindqvist, Michael Malkoch, Anna Carlmark, Craig J. Hawker, Mats Johansson and Yvonne Hed. Their work appears in journals such as Journal of Imaging Science and Technology, Macromolecules, Chemical Communications, Biomacromolecules and Langmuir.

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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