D. Mao

41 papers receiving 663 citations

Peers

D. Mao
Comparison fields: 5 of 66
  • Surfaces, Coatings and Films 173
  • Structural Biology 13
  • Atomic and Molecular Physics, and Optics 271
  • Computational Mechanics 116
  • Electrical and Electronic Engineering 275
Replace Ambarish Kulkarni with:
Ambarish Kulkarni United States
C. Li China
Grégory Martic Belgium
Ph. Gasser Switzerland
Jacqueline Ashmore United States
Bladimir Ramos-Alvarado United States
N. Tymiak United States
A. Yabe Japan
Elizaveta Ya. Gatapova Russia
D. Mao relative to Ambarish Kulkarni United States Ambarish Kulkarni's profile →
Citations per field
00.5×3.6×
Ambarish Kulkarni · 1×
Citations per year

Countries citing papers authored by D. Mao

Since Specialization
Citations

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

Fields of papers citing papers by D. Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991121
2 199279
3 201355
4 199043
5 199235
6 200629
7 200528
8 199727
9 201227
10 198823
11 199122
12 201317
13 199213
14 200313
15 198911
16 198911
17 199110
18 20049
19 19959
20 20168

About D. Mao

D. Mao is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Mechanical Engineering, Computational Mechanics and Ocean Engineering, having authored 43 papers that have together received 684 indexed citations. Recurring topics across this work include Surface and Thin Film Phenomena (13 papers), Semiconductor Quantum Structures and Devices (10 papers), Semiconductor materials and interfaces (7 papers), Electron and X-Ray Spectroscopy Techniques (7 papers), Hydraulic Fracturing and Reservoir Analysis (7 papers), Cyclone Separators and Fluid Dynamics (5 papers), solar cell performance optimization (5 papers) and Granular flow and fluidized beds (5 papers). The work is most often cited by research in Surfaces, Coatings and Films (173 citations), Structural Biology (13 citations), Atomic and Molecular Physics, and Optics (271 citations), Computational Mechanics (116 citations) and Electrical and Electronic Engineering (275 citations). D. Mao has collaborated with scholars based in United States, France and Netherlands. Frequent co-authors include Antoine Kahn, G. Margaritondo, G. Le Lay, Y. Hwu, Albert D. Harvey, M. Dumas, Jack R. Edwards, M. Marsi, Kun Huang and A. Kahn. Their work appears in journals such as Physical review. B, Condensed matter, Chemical Engineering Science, SPE Journal, Journal of Vacuum Science & Technology A Vacuum Surfaces and Films and Applied Surface Science.

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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