Andreas Raab

26 papers receiving 683 citations

Peers

Andreas Raab
Comparison fields: 5 of 101
  • Computer Graphics and Computer-Aided Design 112
  • Human-Computer Interaction 157
  • Computer Vision and Pattern Recognition 205
  • Cognitive Neuroscience 154
  • Automotive Engineering 55
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Countries citing papers authored by Andreas Raab

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Raab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20231
3 202110
4 20181
5 201713
6 201140
7 2010172
8
Von der Agrarstrukturverbesserung zur ILE – Herausforderungen, Strategien und Praxisansätze in Bayern
20060
9
Proposal to NSF - Granted on August 31st 2006 Steps Toward The Reinvention of Programming A Compact And Practical Model of Personal Computing As A Self-Exploratorium
20067
10 20056
11 20051
12 200412
13 20030
14 200360
15
An Illustration Technique Using Hardware-Based Intersections.
19991
16 199922
17
Annotation von topographisch komplizierten 3D-Modellen.
19984
18 19984
19 19973
20 199679

About Andreas Raab

Andreas Raab is a scholar working on Computer Graphics and Computer-Aided Design, Human-Computer Interaction, Geography, Planning and Development, Geology and Computer Vision and Pattern Recognition, having authored 29 papers that have together received 749 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (5 papers), Peer-to-Peer Network Technologies (4 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Fungal and yeast genetics research (4 papers), Distributed and Parallel Computing Systems (3 papers), Geographic Information Systems Studies (3 papers), Biofuel production and bioconversion (3 papers) and Augmented Reality Applications (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (112 citations), Human-Computer Interaction (157 citations), Computer Vision and Pattern Recognition (205 citations), Cognitive Neuroscience (154 citations) and Automotive Engineering (55 citations). Andreas Raab has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Thomas Strothotte, Christine Lang, Dirk Weuster‐Botz, Bernhard Preim, Valerie Johnson, Helen Petrie, Alan Kay, David P. Reed, David R. Forsey and Oliver Deußen. Their work appears in journals such as European Physical Education Review, Metabolic Engineering, Engineering in Life Sciences, Molecular Cytogenetics and Applied and Environmental Microbiology.

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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