Hagen Eckert

677 citations
21 papers · 280 indexed · h-index 8
Topics
Machine Learning in Materials Science (4 papers)X-ray Diffraction in Crystallography (3 papers)Boron and Carbon Nanomaterials Research (2 papers)

In The Last Decade

Hagen Eckert

20 papers receiving 274 citations

Peers

Hagen Eckert
Comparison fields: 5 of 71
  • Materials Chemistry 138
  • Renewable Energy, Sustainability and the Environment 94
  • Biomedical Engineering 48
  • Pollution 43
  • Mechanical Engineering 34
Replace Xiaojie Feng with:
Xiaojie Feng China
Zhongqing Yu China
Andjelika Bjelajac Serbia
Qianyu Wang China
Jiahao Xu China
Yuan Zheng China
Paulo Rogério da Costa Couceiro Brazil
Shujie Yu China
Miaomiao Fang China
Hagen Eckert relative to Xiaojie Feng China Xiaojie Feng's profile →
Citations per field
00.5×6.5×
Xiaojie Feng · 1×
Citations per year

Countries citing papers authored by Hagen Eckert

Since Specialization
Citations

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

Fields of papers citing papers by Hagen Eckert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hagen Eckert

This figure shows the co-authorship network connecting the top 25 collaborators of Hagen Eckert. A scholar is included among the top collaborators of Hagen Eckert 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 Hagen Eckert. Hagen Eckert 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
#WorkIndexed citations
1 2
2 0
3 7
4 7
5 7
6 5
7 7
8 23
9 11
10 5
11 1
12 5
13 4
14 1
15 16
16 14
17 89
18 1
19 26
20 9

About Hagen Eckert

Hagen Eckert is a scholar working on Metals and Alloys, Paleontology and Biomaterials, having authored 21 papers that have together received 280 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (4 papers), X-ray Diffraction in Crystallography (3 papers) and Boron and Carbon Nanomaterials Research (2 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (94 citations), Pollution (43 citations) and Materials Chemistry (138 citations). Hagen Eckert has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Gianaurelio Cuniberti, Klaus Kühn, Sara Teixeira, Robert Gurke, Joachim Fauler, Stefano Curtarolo, M. Bobeth, Simon Divilov, Marco Esters and Xiomara Campilongo. Their work appears in journals such as Physical Review B, Acta Materialia 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026