T. Muck

612 citations
14 papers · 525 indexed · h-index 9

Impact in

    • Organic Electronics and Photovoltaics
    • Thin-Film Transistor Technologies
    • Advanced Memory and Neural Computing
    • Molecular Junctions and Nanostructures
    • Semiconductor materials and devices
    • Organic Light-Emitting Diodes Research
    • Conducting polymers and applications

Papers in

T. Muck

14 papers receiving 516 citations

Peers

T. Muck
Comparison fields: 5 of 25
  • Electrical and Electronic Engineering 503
  • Polymers and Plastics 98
  • Bioengineering 24
  • Biomedical Engineering 148
  • Atomic and Molecular Physics, and Optics 79
Replace Kwonwoo Shin with:
Kwonwoo Shin South Korea
Michael G. Kane United States
Reinhold Rödel Germany
P. V. Necliudov United States
P. Too United Kingdom
Kimberly Dickey United States
Pramod Kumar India
Jeong-M. Choi South Korea
Wiljan T. T. Smaal Netherlands
Zingway Pei Taiwan
T. Muck relative to Kwonwoo Shin South Korea Kwonwoo Shin's profile →
Citations per field
00.5×1.7×
Kwonwoo Shin · 1×
Citations per year

Countries citing papers authored by T. Muck

Since Specialization
Citations

This map shows the geographic impact of T. Muck'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 T. Muck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Muck more than expected).

Fields of papers citing papers by T. Muck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2004168
2 200480
3 200759
4 200457
5 200539
6 200437
7 200633
8 200817
9 200315
10 20018
11 20034
12 20044
13 20023
14 20041

About T. Muck

T. Muck is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Biomedical Engineering, Materials Chemistry and Polymers and Plastics, having authored 14 papers that have together received 525 indexed citations. Recurring topics across this work include Organic Electronics and Photovoltaics (10 papers), Thin-Film Transistor Technologies (7 papers), Advanced Memory and Neural Computing (5 papers), Chalcogenide Semiconductor Thin Films (4 papers), Quantum Dots Synthesis And Properties (3 papers), Semiconductor materials and interfaces (2 papers), Semiconductor Quantum Structures and Devices (2 papers) and Conducting polymers and applications (2 papers). The work is most often cited by research in Electrical and Electronic Engineering (503 citations), Polymers and Plastics (98 citations), Bioengineering (24 citations), Biomedical Engineering (148 citations) and Atomic and Molecular Physics, and Optics (79 citations). T. Muck has collaborated with scholars based in Germany, Portugal and Russia. Frequent co-authors include V. Wagner, J. Geurts, L. W. Molenkamp, M. Leufgen, Dietmar Knipp, Amare Benor, Mauro Murgia, Franco Dinelli, Peter Stallinga and Fabio Biscarini. Their work appears in journals such as Applied Physics Letters, Applied Surface Science, Journal of Applied Physics, Synthetic Metals and physica status solidi (a).

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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