Andrew Rosen

46 papers receiving 2.0k citations

Hit Papers

Machine learning the quantum-chemical properties of metal...202120262022202420212024100200300

Peers

Andrew Rosen
Comparison fields: 5 of 154
  • Materials Chemistry 1.2k
  • Inorganic Chemistry 921
  • Electrical and Electronic Engineering 216
  • Renewable Energy, Sustainability and the Environment 193
  • Mechanical Engineering 132
Replace Philippe Wolff with:
Philippe Wolff France
Matthew J. McDermott United States
Peter D. Haynes United Kingdom
Qianfan Zhang China
Michael A. Webb United States
Daisuke Watanabe Japan
James E. Brady United States
James P. Lewis United States
Werner Winter Germany
Ke Liu China
Andrew Rosen relative to Philippe Wolff France Philippe Wolff's profile →
Citations per field
00.5×
Philippe Wolff · 1×
Citations per year

Countries citing papers authored by Andrew Rosen

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Rosen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Rosen

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Rosen. A scholar is included among the top collaborators of Andrew Rosen 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 Andrew Rosen. Andrew Rosen 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 1
2 21
3 15
4
Structured information extraction from scientific text with large language modelsbreakdown →
225
5 1
6 17
7 53
8 26
9 2
10 30
11 118
12 8
13 134
14 78
15 33
16 12
17 14
18 66
19 3
20 2

About Andrew Rosen

Andrew Rosen is a scholar working on Inorganic Chemistry, Catalysis and Materials Chemistry, having authored 48 papers that have together received 2.1k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (17 papers), Metal-Organic Frameworks: Synthesis and Applications (17 papers) and Catalysis and Oxidation Reactions (7 papers). The work is most often cited by research in Inorganic Chemistry (921 citations), Materials Chemistry (1.2k citations) and Process Chemistry and Technology (59 citations). Andrew Rosen has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Randall Q. Snurr, Justin M. Notestein, Alán Aspuru‐Guzik, Zhenpeng Yao, Kristin A. Persson, Omar K. Farha, Coral Lansbury, Shaelyn Iyer, Debmalya Ray and Laura Gagliardi. Their work appears in journals such as Journal of the American Chemical Society, Advanced Materials and Angewandte Chemie International Edition.

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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