Torsten Lehmann

1.8k citations
118 papers · 1.4k · h-index 18

Impact in

Papers in

Torsten Lehmann

112 papers receiving 1.4k citations

Peers

Torsten Lehmann
Comparison fields: 5 of 84
  • Cellular and Molecular Neuroscience 417
  • Electrical and Electronic Engineering 1.0k
  • Biomedical Engineering 509
  • Cognitive Neuroscience 203
  • Artificial Intelligence 192
Replace Shuenn-Yuh Lee with:
Shuenn-Yuh Lee Taiwan
Qi Yu China
Jordi Madrenas Spain
Mohammad Rafiqul Haider United States
Jawar Singh India
Taekwang Jang Switzerland
Dongsuk Jeon South Korea
Christos Papavassiliou United Kingdom
Stephen Deiss United States
Jennifer Hasler United States
Torsten Lehmann relative to Shuenn-Yuh Lee Taiwan Shuenn-Yuh Lee's profile →
Citations per field
00.5×3.4×
Shuenn-Yuh Lee · 1×
Citations per year

Countries citing papers authored by Torsten Lehmann

Since Specialization
Citations

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

Fields of papers citing papers by Torsten Lehmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010120
2 2001104
3 201285
4 200772
5 201070
6 201356
7 200548
8 200945
9 200735
10 200230
11 199327
12 201426
13 201423
14 199621
15 201321
16 200320
17 199718
18 201018
19 201517
20 201616

About Torsten Lehmann

Torsten Lehmann is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Cellular and Molecular Neuroscience, Atomic and Molecular Physics, and Optics and Cognitive Neuroscience, having authored 118 papers that have together received 1.4k indexed citations. Recurring topics across this work include Analog and Mixed-Signal Circuit Design (39 papers), Neuroscience and Neural Engineering (38 papers), Advanced Memory and Neural Computing (35 papers), Advancements in Semiconductor Devices and Circuit Design (32 papers), Low-power high-performance VLSI design (15 papers), EEG and Brain-Computer Interfaces (15 papers), Quantum and electron transport phenomena (14 papers) and Semiconductor materials and devices (11 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (417 citations), Electrical and Electronic Engineering (1.0k citations), Biomedical Engineering (509 citations), Cognitive Neuroscience (203 citations) and Artificial Intelligence (192 citations). Torsten Lehmann has collaborated with scholars based in Australia, Denmark and United Kingdom. Frequent co-authors include Yashodhan Moghe, Gregg J. Suaning, Nigel H. Lovell, Tim Piessens, Yuanyuan Yang, Kushal Das, Tara Julia Hamilton, Yan T. Wong, Andrew S. Dzurak and Robert G. Clark. Their work appears in journals such as Analog Integrated Circuits and Signal Processing, Electronics Letters, IEEE Journal of Solid-State Circuits, IEEE Transactions on Circuits and Systems I Regular Papers and IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

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.

Explore authors with similar magnitude of impact