Daniel Hedman

800 citations
33 papers · 618 · h-index 14

Impact in

    • High Entropy Alloys Studies
    • Advanced materials and composites
    • Carbon Nanotubes in Composites
    • Graphene research and applications
    • Machine Learning in Materials Science

Papers in

Daniel Hedman

29 papers receiving 604 citations

Peers

Daniel Hedman
Comparison fields: 5 of 57
  • Mechanical Engineering 245
  • Materials Chemistry 289
  • Ceramics and Composites 29
  • Aerospace Engineering 125
  • Structural Biology 5
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Hedman

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Hedman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020106
2 201962
3 202262
4 202457
5 202146
6 202238
7 201532
8 200928
9 201125
10 202123
11 202419
12 202418
13 202014
14 201714
15 202212
16 202310
17 202210
18 20229
19 20248
20 20215

About Daniel Hedman

Daniel Hedman is a scholar working on Materials Chemistry, Surfaces, Coatings and Films, Renewable Energy, Sustainability and the Environment, Mechanical Engineering and Biomedical Engineering, having authored 33 papers that have together received 618 indexed citations. Recurring topics across this work include Carbon Nanotubes in Composites (9 papers), Graphene research and applications (8 papers), High Entropy Alloys Studies (6 papers), Machine Learning in Materials Science (4 papers), Electrocatalysts for Energy Conversion (3 papers), Diamond and Carbon-based Materials Research (3 papers), Topological Materials and Phenomena (2 papers) and High-Temperature Coating Behaviors (2 papers). The work is most often cited by research in Mechanical Engineering (245 citations), Materials Chemistry (289 citations), Ceramics and Composites (29 citations), Aerospace Engineering (125 citations) and Structural Biology (5 citations). Daniel Hedman has collaborated with scholars based in South Korea, Sweden and China. Frequent co-authors include Farid Akhtar, Feng Ding, Ben McLean, Paul Bosscher, J. Andreas Larsson, Alberto Vomiero, Mojtaba Gilzad Kohan, Dariusz Marek Jarzabek, Sajid Ali Alvi and Marta Maria Natile. Their work appears in journals such as Carbon, Journal of Colloid and Interface Science, Physical review. B., Science Advances and Chemical Engineering Journal.

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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