Daniel Lehmann

430 citations
18 papers · 350 · h-index 12

Impact in

Papers in

Daniel Lehmann

18 papers receiving 339 citations

Peers

Daniel Lehmann
Comparison fields: 5 of 89
  • Electronic, Optical and Magnetic Materials 53
  • Materials Chemistry 128
  • Cognitive Neuroscience 38
  • Electrical and Electronic Engineering 106
  • Biomedical Engineering 68
Replace Kyuhee Han with:
Kyuhee Han South Korea
Jens Rosenberg United States
Xinjuan Zhang China
Jihan Chen United States
Monica Zhang United States
Hannu Välimäki Finland
Taehyeon Kim South Korea
Ryo Ota Japan
Yuki Maeda Japan
Diana J. Lewis United States
Daniel Lehmann relative to Kyuhee Han South Korea Kyuhee Han's profile →
Citations per field
00.5×1.7×
Kyuhee Han · 1×
Citations per year

Countries citing papers authored by Daniel Lehmann

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Lehmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201450
2 199838
3 200934
4 199231
5 202026
6 201324
7 201524
8 201421
9 201221
10 201417
11 201315
12 201413
13 20169
14 20199
15 19786
16 20185
17 20084
18 20103

About Daniel Lehmann

Daniel Lehmann is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Polymers and Plastics, having authored 18 papers that have together received 350 indexed citations. Recurring topics across this work include Boron and Carbon Nanomaterials Research (2 papers), Nanocluster Synthesis and Applications (2 papers), ZnO doping and properties (2 papers), Carbon Nanotubes in Composites (2 papers), Quantum Dots Synthesis And Properties (2 papers), Bone and Joint Diseases (1 paper), Muon and positron interactions and applications (1 paper) and Conducting polymers and applications (1 paper). The work is most often cited by research in Electronic, Optical and Magnetic Materials (53 citations), Materials Chemistry (128 citations), Cognitive Neuroscience (38 citations), Electrical and Electronic Engineering (106 citations) and Biomedical Engineering (68 citations). Daniel Lehmann has collaborated with scholars based in Germany, India and Ukraine. Frequent co-authors include Dietrich R. T. Zahn, M. Koukkou, Thomas Koenig, Roberto D. Pascual‐Marqui, Kieko Kochi, Joerg Arand, Volodymyr Dzhagan, Gerd Schmalisch, Roland R. Wauer and Christoph Knosalla. Their work appears in journals such as Journal of Applied Physics, SpringerPlus, Journal of Nanoparticle Research, Applied Physics Letters and Schizophrenia Research.

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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