Helge S. Stein

3.4k citations
63 papers · 1.8k indexed · h-index 22
Topics
Machine Learning in Materials Science (24 papers)Advancements in Battery Materials (15 papers)Advanced Battery Materials and Technologies (13 papers)
Journals
SHILAP Revista de lepidopterologíaChemistry of MaterialsAdvanced Functional Materials

In The Last Decade

Helge S. Stein

60 papers receiving 1.7k citations

Peers

Helge S. Stein
Comparison fields: 5 of 100
  • Materials Chemistry 1.0k
  • Electrical and Electronic Engineering 750
  • Renewable Energy, Sustainability and the Environment 455
  • Biomedical Engineering 190
  • Automotive Engineering 174
Replace Santosh K. Suram with:
Santosh K. Suram United States
Dan Guevarra United States
Kedar Hippalgaonkar Singapore
Benji Maruyama United States
Katherine C. Elbert United States
Ben M. Alston United Kingdom
Arghya Bhowmik Denmark
Catherine M. Aitchison United Kingdom
Malia B. Wenny United States
Helge S. Stein relative to Santosh K. Suram United States Santosh K. Suram's profile →
Citations per field
00.5×2.6×
Santosh K. Suram · 1×
Citations per year

Countries citing papers authored by Helge S. Stein

Since Specialization
Citations

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

Fields of papers citing papers by Helge S. Stein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Helge S. Stein. 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 Helge S. Stein. The network helps show where Helge S. Stein may publish in the future.

Co-authorship network of co-authors of Helge S. Stein

This figure shows the co-authorship network connecting the top 25 collaborators of Helge S. Stein. A scholar is included among the top collaborators of Helge S. Stein 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 Helge S. Stein. Helge S. Stein 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 9
2 7
3 14
4 4
5 5
6 3
7 9
8 14
9 18
10 10
11 6
12 12
13 14
14 46
15 103
16 13
17 14
18 127
19 21
20 27

About Helge S. Stein

Helge S. Stein is a scholar working on Renewable Energy, Sustainability and the Environment, Automotive Engineering and Electrochemistry, having authored 63 papers that have together received 1.8k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (24 papers), Advancements in Battery Materials (15 papers) and Advanced Battery Materials and Technologies (13 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (455 citations), Materials Chemistry (1.0k citations) and Electrochemistry (136 citations). Helge S. Stein has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include John M. Gregoire, Dan Guevarra, Alfred Ludwig, Juhwan Noh, Jaehoon Kim, Alán Aspuru‐Guzik, Benjamín Sánchez-Lengeling, Yousung Jung, Paul F. Newhouse and Joel A. Haber. Their work appears in journals such as SHILAP Revista de lepidopterología, Chemistry of Materials and Advanced Functional Materials.

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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