Daniel Gräf

405 citations
28 papers · 294 · h-index 10

Impact in

Papers in

Daniel Gräf

27 papers receiving 287 citations

Peers

Daniel Gräf
Comparison fields: 5 of 46
  • Atomic and Molecular Physics, and Optics 161
  • Spectroscopy 71
  • Materials Chemistry 110
  • Automotive Engineering 29
  • Physical and Theoretical Chemistry 21
Replace Debbie Zhuang with:
Debbie Zhuang United States
Zun Wang China
Hongmin Zhao China
Andreas Larsson Norway
R. Narulkar United States
Tamás K. Stenczel United States
Elsa Passaro Spain
Jianyong Ding China
Esben L. Kolsbjerg Denmark
Jonathan Vandermause United States
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Gräf

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Gräf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201848
2 202533
3 201828
4 201825
5 201917
6 202016
7 202112
8 202011
9 202210
10 20189
11 20229
12 20208
13 20148
14 20227
15 20217
16 20156
17 20236
18 20256
19 20176
20 20234

About Daniel Gräf

Daniel Gräf is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry, Automotive Engineering, Spectroscopy and Mechanical Engineering, having authored 28 papers that have together received 294 indexed citations. Recurring topics across this work include Advanced Chemical Physics Studies (15 papers), Spectroscopy and Quantum Chemical Studies (8 papers), Machine Learning in Materials Science (7 papers), Additive Manufacturing and 3D Printing Technologies (6 papers), Advanced NMR Techniques and Applications (4 papers), Advanced Sensor and Energy Harvesting Materials (2 papers), Advanced Manufacturing and Logistics Optimization (2 papers) and Modular Robots and Swarm Intelligence (2 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (161 citations), Spectroscopy (71 citations), Materials Chemistry (110 citations), Automotive Engineering (29 citations) and Physical and Theoretical Chemistry (21 citations). Daniel Gräf has collaborated with scholars based in Germany, United Kingdom and China. Frequent co-authors include Christian Ochsenfeld, Henry F. Schurkus, Jörg Franke, Gökçen Savaşçı, Arne Luenser, Alex J. W. Thom, Andrés Rodríguez‐Camargo, Liang Yao, Jörg Kußmann and Bettina V. Lotsch. Their work appears in journals such as Journal of Chemical Theory and Computation, The Journal of Chemical Physics, Molecular Physics, Journal of the American Chemical Society and IEEE Transactions on Components Packaging and Manufacturing Technology.

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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