Daniel S. Levine

60 papers receiving 2.2k citations

Peers

Daniel S. Levine
Comparison fields: 5 of 134
  • Physical and Theoretical Chemistry 220
  • Inorganic Chemistry 301
  • Organic Chemistry 574
  • Process Chemistry and Technology 52
  • Human-Computer Interaction 97
Replace Hiroshi Ueno with:
Hiroshi Ueno Japan
Satoshi Inoue Japan
Michael W. Mara United States
Tobias Fischer Australia
Andreas Schuster Germany
Y. Nemoto Japan
Eisuke Ito Japan
Hideyuki Takahashi Japan
Ken‐ichi Tanaka Japan
Pascal Friederich Germany
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Citations per field
00.5×3.7×
Hiroshi Ueno · 1×
Citations per year

Countries citing papers authored by Daniel S. Levine

Since Specialization
Citations

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

Fields of papers citing papers by Daniel S. Levine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007151
2 2017140
3 2020137
4 2017107
5 2020101
6 2021101
7 201790
8 201083
9 201174
10 201570
11 201665
12 201657
13 201056
14 201955
15 202054
16 201753
17 201951
18 201646
19 201746
20 201545

About Daniel S. Levine

Daniel S. Levine is a scholar working on Organic Chemistry, Atomic and Molecular Physics, and Optics, Materials Chemistry, Physical and Theoretical Chemistry and Inorganic Chemistry, having authored 60 papers that have together received 2.2k indexed citations. Recurring topics across this work include Advanced Chemical Physics Studies (12 papers), Organometallic Complex Synthesis and Catalysis (6 papers), Asymmetric Hydrogenation and Catalysis (4 papers), Catalytic Processes in Materials Science (4 papers), Crystallography and molecular interactions (4 papers), Machine Learning in Materials Science (4 papers), Robotics and Sensor-Based Localization (3 papers) and Robotic Path Planning Algorithms (3 papers). The work is most often cited by research in Physical and Theoretical Chemistry (220 citations), Inorganic Chemistry (301 citations), Organic Chemistry (574 citations), Process Chemistry and Technology (52 citations) and Human-Computer Interaction (97 citations). Daniel S. Levine has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Martin Head‐Gordon, T. Don Tilley, Jonathan P. How, K. Birgitta Whaley, Diptarka Hait, Micah S. Ziegler, Brandon Luders, Richard A. Andersen, Norm M. Tubman and Hiroshi Ishii. Their work appears in journals such as Journal of the American Chemical Society, Organometallics, Journal of Chemical Theory and Computation, Chemical Science and Chemical Communications.

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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