Peter A Graf

96 papers receiving 1.9k citations

Peers

Peter A Graf
Comparison fields: 5 of 137
  • Statistics, Probability and Uncertainty 101
  • Physical and Theoretical Chemistry 121
  • Electrochemistry 80
  • Electrical and Electronic Engineering 740
  • Atomic and Molecular Physics, and Optics 328
Replace Hugh Cartwright with:
Hugh Cartwright United Kingdom
Dirk Reith Germany
M. L. Homer United States
Jonathan Schmidt Germany
K. Watanabe Japan
Xiaolong Wang China
M. Marek Czechia
Martha A. Grover United States
R. C. Desai India
Takashi Tsuchiya Japan
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Citations per field
00.5×2×3×4×4.8×
Hugh Cartwright · 1×
Citations per year

Countries citing papers authored by Peter A Graf

Since Specialization
Citations

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

Fields of papers citing papers by Peter A Graf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter A Graf. 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 Peter A Graf. The network helps show where Peter A Graf may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999241
2 200488
3 201786
4 202084
5 200184
6 200080
7
Term indexing
199566
8 201463
9 201263
10 198957
11 199556
12 199751
13 201751
14 200843
15 201043
16 201542
17 202039
18 199736
19 200534
20 201434

About Peter A Graf

Peter A Graf is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Control and Systems Engineering, Aerospace Engineering and Computational Theory and Mathematics, having authored 102 papers that have together received 2.0k indexed citations. Recurring topics across this work include Wind Energy Research and Development (11 papers), Semiconductor materials and devices (9 papers), Advancements in Semiconductor Devices and Circuit Design (9 papers), Smart Grid Energy Management (8 papers), Semiconductor Quantum Structures and Devices (7 papers), Wind and Air Flow Studies (6 papers), Advanced Battery Technologies Research (5 papers) and Advancements in Battery Materials (5 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (101 citations), Physical and Theoretical Chemistry (121 citations), Electrochemistry (80 citations), Electrical and Electronic Engineering (740 citations) and Atomic and Molecular Physics, and Optics (328 citations). Peter A Graf has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Abraham Nitzan, Maria G. Kurnikova, Rob D. Coalson, Elmar W. Weiler, Katherine Dykes, David Biagioni, Kwiseon Kim, Xiangyu Zhang, B. Meinerzhagen and Ryan N. King. Their work appears in journals such as Journal of The Electrochemical Society, Journal of Computational Physics, Applied Physics Letters, Wind energy science and Physical Review Letters.

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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