Robin Schubert

83 papers receiving 2.5k citations

Robin Schubert's Hit Papers

X-ray screening identifies active site and allosteric inhibitors of SARS-CoV-2 main protease 2021 · 279 citations
2790+1+3Years since publication50100150200250

Peers

Robin Schubert
Comparison fields: 5 of 138
  • Structural Biology 171
  • Automotive Engineering 627
  • Radiation 240
  • Computer Vision and Pattern Recognition 294
  • Safety, Risk, Reliability and Quality 112
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Shinjae Yoo United States
Takeshi Kawabata Japan
Yutaka Ishikawa Japan
Hirofumi Suzuki Japan
Michael E. Wall United States
Bin Yu China
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Citations per field
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Countries citing papers authored by Robin Schubert

Since Specialization
Citations

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

Fields of papers citing papers by Robin Schubert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Comparison and evaluation of advanced motion models for vehicle tracking
2008279
2
X-ray screening identifies active site and allosteric inhibitors of SARS-CoV-2 main protease
Hit paper breakdown →
2021279
3 2018167
4 2010164
5 2015132
6 2019130
7 2011103
8 202073
9 201069
10 201764
11 202264
12 201160
13 201151
14 202246
15 200841
16 202341
17 202241
18 202034
19 201131
20 201231

About Robin Schubert

Robin Schubert is a scholar working on Automotive Engineering, Artificial Intelligence, Radiation, Materials Chemistry and Aerospace Engineering, having authored 88 papers that have together received 2.6k indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (24 papers), Target Tracking and Data Fusion in Sensor Networks (18 papers), Enzyme Structure and Function (16 papers), Advanced X-ray Imaging Techniques (8 papers), Robotics and Sensor-Based Localization (8 papers), Indoor and Outdoor Localization Technologies (7 papers), Protein Structure and Dynamics (6 papers) and Nanoparticles: synthesis and applications (6 papers). The work is most often cited by research in Structural Biology (171 citations), Automotive Engineering (627 citations), Radiation (240 citations), Computer Vision and Pattern Recognition (294 citations) and Safety, Risk, Reliability and Quality (112 citations). Robin Schubert has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Gerd Wanielik, Eric Richter, Norman Mattern, Christian Betzel, Marcus Obst, Kristina Lorenzen, Lilit S. Gabrielyan, Karen A. Trchounian, Markus Perbandt and Arne Meyer. Their work appears in journals such as Nature Communications, Scientific Reports, Journal of Visualized Experiments, IEEE Transactions on Intelligent Transportation Systems and Soft Matter.

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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