Torsten Lehmann

1.8k citations
116 papers · 1.3k · h-index 18

Impact in

Papers in

Torsten Lehmann

111 papers receiving 1.3k citations

Peers

Torsten Lehmann
Comparison fields: 5 of 88
  • Cellular and Molecular Neuroscience 400
  • Electrical and Electronic Engineering 1.0k
  • Biomedical Engineering 505
  • Cognitive Neuroscience 208
  • Artificial Intelligence 177
Replace Shuenn-Yuh Lee with:
Shuenn-Yuh Lee Taiwan
Qi Yu China
Jawar Singh India
Christos Papavassiliou United Kingdom
Rajeev Kumar Ranjan India
Dongsuk Jeon South Korea
Taekwang Jang Switzerland
Mohammad Rafiqul Haider United States
Bhaskar Choubey Germany
Jordi Madrenas Spain
Torsten Lehmann relative to Shuenn-Yuh Lee Taiwan Shuenn-Yuh Lee's profile →
Citations per field
00.5×3.5×
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 116 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010119
2 2001102
3 201272
4 200768
5 201065
6 201354
7 200546
8 200942
9 200733
10 200227
11 199325
12 201425
13 201423
14 199620
15 201320
16 200318
17 201018
18 201517
19 201616
20 199716

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 116 papers that have together received 1.3k indexed citations. Recurring topics across this work include Analog and Mixed-Signal Circuit Design (39 papers), Neuroscience and Neural Engineering (37 papers), Advanced Memory and Neural Computing (34 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 (400 citations), Electrical and Electronic Engineering (1.0k citations), Biomedical Engineering (505 citations), Cognitive Neuroscience (208 citations) and Artificial Intelligence (177 citations). Torsten Lehmann has collaborated with scholars based in Australia, Denmark and United Kingdom. Frequent co-authors include Yashodhan Moghe, Nigel H. Lovell, Gregg J. Suaning, Tim Piessens, Tara Julia Hamilton, Yuanyuan Yang, Kushal Das, 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