Florian Läng

24 papers receiving 344 citations

Peers

Florian Läng
Comparison fields: 5 of 129
  • Human-Computer Interaction 62
  • Instrumentation 16
  • Cognitive Neuroscience 67
  • Nephrology 21
  • Human Factors and Ergonomics 4
Replace Milica M. Janković with:
Milica M. Janković Serbia
Ning Ji China
Pedro Luiz Coelho Rodrigues Portugal
Masakazu Hirota Japan
Alexander D. Walker United States
Jerker Westin Sweden
Yu‐Tai Tsai Taiwan
Sophie de Brouwer United Kingdom
Yu Ma China
Isabela Albuquerque Canada
Florian Läng relative to Milica M. Janković Serbia Milica M. Janković's profile →
Citations per field
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Milica M. Janković · 1×
Citations per year

Countries citing papers authored by Florian Läng

Since Specialization
Citations

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

Fields of papers citing papers by Florian Läng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200783
2 200942
3
Creepy Technology: What Is It and How Do You Measure It?
202140
4 197233
5 200631
6 202122
7 202015
8 201512
9 202311
10
Teks dan Atlas Berwarna Patofisiologi
20069
11 19798
12 20087
13 19827
14 20226
15 20146
16 20236
17
Operational Generation of High-Resolution Digital Surface Models from Commercial Tri-Stereo Satellite Data
20136
18 20176
19 20235
20 20085

About Florian Läng

Florian Läng is a scholar working on Human-Computer Interaction, Cognitive Neuroscience, Instrumentation, Computer Vision and Pattern Recognition and Immunology and Allergy, having authored 27 papers that have together received 370 indexed citations. Recurring topics across this work include Tactile and Sensory Interactions (5 papers), Astronomy and Astrophysical Research (3 papers), Advanced Vision and Imaging (2 papers), Virtual Reality Applications and Impacts (2 papers), Astronomical Observations and Instrumentation (2 papers), Interactive and Immersive Displays (2 papers), Food Allergy and Anaphylaxis Research (2 papers) and Kidney Stones and Urolithiasis Treatments (1 paper). The work is most often cited by research in Human-Computer Interaction (62 citations), Instrumentation (16 citations), Cognitive Neuroscience (67 citations), Nephrology (21 citations) and Human Factors and Ergonomics (4 citations). Florian Läng has collaborated with scholars based in Germany, Austria and Switzerland. Frequent co-authors include Robert Franz Schmidt, Stefan Silbernagl, Tonja Machulla, Rainer F. Greger, P. Deetjen, Albrecht Schmidt, Jakob Karolus, Paweł W. Woźniak, Yvonne Rogers and Jasmin Niess. Their work appears in journals such as Pflügers Archiv - European Journal of Physiology, Kidney & Blood Pressure Research, Journal of Advanced Concrete Technology, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research and Cellular Physiology and Biochemistry.

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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