Daniel Hedman

641 total citations
28 papers, 470 citations indexed

About

Daniel Hedman is a scholar working on Materials Chemistry, Biomedical Engineering and Mechanical Engineering. According to data from OpenAlex, Daniel Hedman has authored 28 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Materials Chemistry, 8 papers in Biomedical Engineering and 7 papers in Mechanical Engineering. Recurrent topics in Daniel Hedman's work include Graphene research and applications (8 papers), Carbon Nanotubes in Composites (8 papers) and High Entropy Alloys Studies (6 papers). Daniel Hedman is often cited by papers focused on Graphene research and applications (8 papers), Carbon Nanotubes in Composites (8 papers) and High Entropy Alloys Studies (6 papers). Daniel Hedman collaborates with scholars based in South Korea, Sweden and China. Daniel Hedman's co-authors include Farid Akhtar, Feng Ding, Ben McLean, J. Andreas Larsson, Alberto Vomiero, Dariusz M. Jarząbek, Mojtaba Gilzad Kohan, Sajid Alvi, Hanzhu Zhang and Gang Han and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and Applied Physics Letters.

In The Last Decade

Daniel Hedman

26 papers receiving 455 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Hedman South Korea	11	263	214	109	79	65	28	470
Fikret Yılmaz Türkiye	14	245 0.9×	236 1.1×	124 1.1×	40 0.5×	38 0.6×	36	417
Kürşat İçi̇n Türkiye	13	222 0.8×	368 1.7×	215 2.0×	47 0.6×	44 0.7×	45	538
Lisa Rullik Sweden	9	291 1.1×	113 0.5×	86 0.8×	34 0.4×	104 1.6×	13	427
Kuntal Sarkar India	11	215 0.8×	196 0.9×	141 1.3×	44 0.6×	99 1.5×	24	413
Hong Xu China	13	266 1.0×	445 2.1×	255 2.3×	66 0.8×	64 1.0×	77	619
Xing-Jiang Hua China	12	320 1.2×	282 1.3×	83 0.8×	70 0.9×	146 2.2×	21	580
Sh. Khameneh Asl Iran	8	386 1.5×	195 0.9×	80 0.7×	117 1.5×	105 1.6×	9	495
Byeong-Hyeon Lee South Korea	12	275 1.0×	153 0.7×	132 1.2×	25 0.3×	136 2.1×	29	453
Shijing Xie China	9	323 1.2×	81 0.4×	149 1.4×	58 0.7×	45 0.7×	19	385

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-authorship network of co-authors of Daniel Hedman

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Hedman. A scholar is included among the top collaborators of Daniel Hedman 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 Daniel Hedman. Daniel Hedman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Bakharev, Pavel, Maxim K. Rabchinskii, Daniel Hedman, et al.. (2025). Chemically induced formation of C–Cu covalent bonds at the CVD-graphene/single crystal Cu(111) interface. Carbon. 245. 120724–120724.

Li, Zhi, et al.. (2024). Stable selenium nickel-iron electrocatalyst for oxygen evolution reaction in alkaline and natural seawater. Journal of Colloid and Interface Science. 677(Pt B). 976–985. 8 indexed citations

Hedman, Daniel, et al.. (2024). Testing functional anchor groups for the efficient immobilization of molecular catalysts on silver surfaces. Communications Chemistry. 7(1). 107–107.

Qian, Cheng, et al.. (2024). The Reconstruction of Pt(001) Surface and the Shell‐Like Reconstruction of the Vicinal Pt(001) Surfaces Revealed by Neural Network Potential. Small. 20(44). e2404274–e2404274. 4 indexed citations

Hedman, Daniel, Ben McLean, Christophe Bichara, et al.. (2024). Dynamics of growing carbon nanotube interfaces probed by machine learning-enabled molecular simulations. Nature Communications. 15(1). 4076–4076. 42 indexed citations

Wang, Yong, et al.. (2023). High temperature phases of borophene: borophene glass and liquid. Nanoscale Horizons. 8(3). 353–360. 9 indexed citations

Hedman, Daniel, Jichen Dong, Leining Zhang, et al.. (2023). Importance of kink energy in calculating the formation energy of a graphene edge. Physical review. B.. 107(24). 2 indexed citations

Ding, Liping, Ben McLean, Ziwei Xu, et al.. (2022). Why Carbon Nanotubes Grow. Journal of the American Chemical Society. 144(12). 5606–5613. 53 indexed citations

Hedman, Daniel, et al.. (2022). Making and breaking of chemical bonds in single nanoconfined molecules. Science Advances. 8(36). 8 indexed citations

10.

Hedman, Daniel, et al.. (2022). Ab initio aided design of novel quaternary, quinary and senary high-entropy borocarbides. Journal of Materials Science. 57(1). 422–443. 10 indexed citations

11.

Alvi, Sajid, Dariusz M. Jarząbek, Daniel Hedman, et al.. (2022). Enhanced Mechanical, Thermal and Electrical Properties of High‐Entropy HfMoNbTaTiVWZr Thin Film Metallic Glass and its Nitrides. Advanced Engineering Materials. 24(9). 34 indexed citations

12.

Hedman, Daniel, et al.. (2021). Impact of training and validation data on the performance of neural network potentials: A case study on carbon using the CA-9 dataset. Carbon Trends. 3. 100027–100027. 5 indexed citations

13.

Dobryden, Illia, Daniel Hedman, Ričardas Makuška, et al.. (2021). Local Wear of Catechol-Containing Diblock Copolymer Layers: Wear Volume, Stick–Slip, and Nanomechanical Changes. The Journal of Physical Chemistry C. 125(38). 21277–21292. 4 indexed citations

14.

Hedman, Daniel, et al.. (2021). Transformation of metastable dual-phase (Ti0.25V0.25Zr0.25Hf0.25)B2 to stable high-entropy single-phase boride by thermal annealing. Applied Physics Letters. 119(16). 21 indexed citations

15.

Yusupov, Khabib, Daniel Hedman, Alexey P. Tsapenko, et al.. (2020). Enhancing the thermoelectric performance of single-walled carbon nanotube-conducting polymer nanocomposites. Journal of Alloys and Compounds. 845. 156354–156354. 13 indexed citations

16.

Alvi, Sajid, Dariusz M. Jarząbek, Mojtaba Gilzad Kohan, et al.. (2020). Synthesis and Mechanical Characterization of a CuMoTaWV High-Entropy Film by Magnetron Sputtering. ACS Applied Materials & Interfaces. 12(18). 21070–21079. 90 indexed citations

17.

Hedman, Daniel. (2019). Single-Walled Carbon Nanotubes: A theoretical study of stability, growth and properties. KTH Publication Database DiVA (KTH Royal Institute of Technology). 4 indexed citations

18.

Hedman, Daniel & J. Andreas Larsson. (2017). Length dependent stability of single-walled carbon nanotubes and how it affects their growth. Carbon. 116. 443–447. 13 indexed citations

19.

Hedman, Daniel. (2017). A Theoretical Study: The Connection between Stability of Single-Walled Carbon Nanotubes and Observed Products. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1 indexed citations

20.

Hedman, Daniel, Hamid Reza Barzegar, Arne Rosén, Thomas Wågberg, & J. Andreas Larsson. (2015). On the Stability and Abundance of Single Walled Carbon Nanotubes. Scientific Reports. 5(1). 16850–16850. 30 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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