Sebastian Groß

751 citations
33 papers · 476 indexed · h-index 12
Topics
Intelligent Tutoring Systems and Adaptive Learning (8 papers)Teaching and Learning Programming (5 papers)Advanced Image and Video Retrieval Techniques (5 papers)

In The Last Decade

Sebastian Groß

32 papers receiving 450 citations

Peers

Sebastian Groß
Comparison fields: 5 of 94
  • Oncology 117
  • Artificial Intelligence 115
  • Computer Science Applications 114
  • Computer Vision and Pattern Recognition 70
  • Pulmonary and Respiratory Medicine 69
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Yi Dou China
Martin Bürger Germany
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Fabrício Alves Barbosa da Silva Brazil
Bilal Alhayani Türkiye
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José A. Taboada Spain
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Sebastian Groß relative to Yi Dou China Yi Dou's profile →
Citations per field
00.5×10×17.3×
Yi Dou · 1×
Citations per year

Countries citing papers authored by Sebastian Groß

Since Specialization
Citations

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

Fields of papers citing papers by Sebastian Groß

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sebastian Groß

This figure shows the co-authorship network connecting the top 25 collaborators of Sebastian Groß. A scholar is included among the top collaborators of Sebastian Groß based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sebastian Groß. Sebastian Groß is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 10
3 1
4 4
5 18
6
Teaching Quantitative Thinking in Geoscience with MATLAB
2
7 16
8 22
9
Domain-Independent Proximity Measures in Intelligent Tutoring Systems
14
10
Towards Deeper Understanding of Syntactic Concepts in Programming.
1
11 4
12 11
13 3
14
Feedback Provision Strategies in Intelligent Tutoring Systems Based on Clustered Solution Spaces
11
15 110
16 6
17
Mosaickingalgorithmus zur schnellen Panoramabilderstellung in der Fluoreszenzendoskopie
1
18
Intensitätsbasiertes Multiskalen-Blending zur Erstellung von Panoramabildern in der Fluoreszenzendoskopie.
1
19 29
20 6

About Sebastian Groß

Sebastian Groß is a scholar working on Computer Science Applications, Architecture and Media Technology, having authored 33 papers that have together received 476 indexed citations. Recurring topics across this work include Intelligent Tutoring Systems and Adaptive Learning (8 papers), Teaching and Learning Programming (5 papers) and Advanced Image and Video Retrieval Techniques (5 papers). The work is most often cited by research in Computer Science Applications (114 citations), Software (26 citations) and Molecular Medicine (27 citations). Sebastian Groß has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Niels Pinkwart, Axel Behrens, Til Aach, Barbara Hammer, Bassam Mokbel, Rolf Müller, Ramin Schirin-Sokhan, Holger H. Lutz, Christian Trautwein and Ron Winograd. Their work appears in journals such as Nature Communications, Scientific Reports and Chemical Science.

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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