Karsten Beckmann

713 citations
55 papers · 503 · h-index 13

Impact in

Papers in

Karsten Beckmann

50 papers receiving 490 citations

Peers

Karsten Beckmann
Comparison fields: 5 of 32
  • Hardware and Architecture 58
  • Electrical and Electronic Engineering 480
  • Cellular and Molecular Neuroscience 153
  • Polymers and Plastics 48
  • Cognitive Neuroscience 33
Replace Jeeson Kim with:
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Citations per field
00.5×4.6×
Jeeson Kim · 1×
Citations per year

Countries citing papers authored by Karsten Beckmann

Since Specialization
Citations

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

Fields of papers citing papers by Karsten Beckmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201660
2 201744
3 202030
4 201730
5 201629
6 201625
7 201622
8 202319
9 201117
10 201716
11 202015
12 201912
13 201912
14 202111
15 202011
16 202110
17 20229
18 20219
19 20228
20 20247

About Karsten Beckmann

Karsten Beckmann is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Polymers and Plastics, Materials Chemistry and Hardware and Architecture, having authored 55 papers that have together received 503 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (47 papers), Ferroelectric and Negative Capacitance Devices (42 papers), Semiconductor materials and devices (20 papers), Neuroscience and Neural Engineering (12 papers), Transition Metal Oxide Nanomaterials (11 papers), Phase-change materials and chalcogenides (4 papers), Electronic and Structural Properties of Oxides (3 papers) and Physical Unclonable Functions (PUFs) and Hardware Security (3 papers). The work is most often cited by research in Hardware and Architecture (58 citations), Electrical and Electronic Engineering (480 citations), Cellular and Molecular Neuroscience (153 citations), Polymers and Plastics (48 citations) and Cognitive Neuroscience (33 citations). Karsten Beckmann has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Nathaniel C. Cady, Harika Manem, Garrett S. Rose, Josh Holt, Gokul Krishnan, Yu Cao, Rajiv Joshi, Sumit Kumar Jha, Gouranga Charan and Alvaro Velasquez. Their work appears in journals such as Semiconductor Science and Technology, Journal of Vacuum Science & Technology B Nanotechnology and Microelectronics Materials Processing Measurement and Phenomena, ACM Journal on Emerging Technologies in Computing Systems, Scientific Reports and Applied Physics 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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