Patrick R. Mickel

592 citations
32 papers · 517 · h-index 12

Impact in

Papers in

Patrick R. Mickel

32 papers receiving 511 citations

Peers

Patrick R. Mickel
Comparison fields: 5 of 30
  • Cellular and Molecular Neuroscience 213
  • Electrical and Electronic Engineering 485
  • Polymers and Plastics 71
  • Cognitive Neuroscience 54
  • Materials Chemistry 103
Replace Stanislav V. Tikhov with:
Stanislav V. Tikhov Russia
Jacopo Frascaroli Italy
Maria Trapatseli United Kingdom
Dmitry A. Lapkin Germany
Curtis J. O’Kelly Ireland
Juxiang Wang China
Ayoub H. Jaafar United Kingdom
Hannes Mähne Germany
Shenming Huang China
Rainer Waser Germany
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Citations per field
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Stanislav V. Tikhov · 1×
Citations per year

Countries citing papers authored by Patrick R. Mickel

Since Specialization
Citations

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

Fields of papers citing papers by Patrick R. Mickel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick R. Mickel. 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 Patrick R. Mickel. The network helps show where Patrick R. Mickel may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201267
2 201366
3 201453
4 201340
5 201436
6 201335
7 201329
8 201423
9 201422
10 201322
11 201419
12 201612
13 201312
14 201412
15 201311
16 201511
17 20146
18 20146
19 20145
20 20145

About Patrick R. Mickel

Patrick R. Mickel is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Cognitive Neuroscience, Electronic, Optical and Magnetic Materials and Polymers and Plastics, having authored 32 papers that have together received 517 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (27 papers), Ferroelectric and Negative Capacitance Devices (13 papers), Neuroscience and Neural Engineering (11 papers), Photoreceptor and optogenetics research (8 papers), Neural dynamics and brain function (6 papers), Ferroelectric and Piezoelectric Materials (5 papers), Transition Metal Oxide Nanomaterials (4 papers) and Electronic and Structural Properties of Oxides (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (213 citations), Electrical and Electronic Engineering (485 citations), Polymers and Plastics (71 citations), Cognitive Neuroscience (54 citations) and Materials Chemistry (103 citations). Patrick R. Mickel has collaborated with scholars based in United States and South Korea. Frequent co-authors include Matthew J. Marinella, Andrew J. Lohn, J. Stevens, Conrad D. James, Marty R. Shaneyfelt, Scott M. Dalton, P.E. Dodd, György Vízkelethy, Edward S. Bielejec and David Russell Hughart. Their work appears in journals such as Applied Physics Letters, IEEE Transactions on Nuclear Science, Journal of Applied Physics, Journal of Vacuum Science & Technology A Vacuum Surfaces and Films and Advanced Materials.

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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