Johann Schlichter

1.1k citations
26 papers · 366 indexed · h-index 10
Topics
Vehicular Ad Hoc Networks (VANETs) (4 papers)Privacy-Preserving Technologies in Data (3 papers)Team Dynamics and Performance (2 papers)

In The Last Decade

Johann Schlichter

21 papers receiving 339 citations

Peers

Johann Schlichter
Comparison fields: 5 of 54
  • Artificial Intelligence 152
  • Electrical and Electronic Engineering 143
  • Computer Networks and Communications 90
  • Information Systems 77
  • Human-Computer Interaction 68
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Andreas Dieberger United States
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Antonio González-Pardo Spain
Ekaterina Olshannikova Finland
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Citations per field
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Citations per year

Countries citing papers authored by Johann Schlichter

Since Specialization
Citations

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

Fields of papers citing papers by Johann Schlichter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johann Schlichter

This figure shows the co-authorship network connecting the top 25 collaborators of Johann Schlichter. A scholar is included among the top collaborators of Johann Schlichter 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 Johann Schlichter. Johann Schlichter 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 2
2
Personalized Food Recommendation.
3
3 45
4 19
5
Beacon-based Vehicle Tracking in Vehicular Ad-hoc Networks
9
6 12
7 40
8 0
9
Incorporating intentional and emotional behaviors into a Virtual Human for Better Customer-Engineer-Interaction
5
10 4
11
TiBiD - Trust Building and Matchmaking Support for Virtual Enterprises
2
12 3
13 3
14 90
15
Multimediales Lernen an der Universität. Munics - Munich Net-based learning in Computer Science
2
16
Awareness - The Common Link Between Groupware and Communityware
0
17 1
18 11
19
Constraint-based Information Gathering for a Network Publication System
7
20 2

About Johann Schlichter

Johann Schlichter is a scholar working on Transportation, Management of Technology and Innovation and Information Systems and Management, having authored 26 papers that have together received 366 indexed citations. Recurring topics across this work include Vehicular Ad Hoc Networks (VANETs) (4 papers), Privacy-Preserving Technologies in Data (3 papers) and Team Dynamics and Performance (2 papers). The work is most often cited by research in Human-Computer Interaction (68 citations), Artificial Intelligence (152 citations) and Computer Science Applications (22 citations). Johann Schlichter has collaborated with scholars based in Germany, Egypt and United States. Frequent co-authors include Uwe M. Borghoff, Karim Emara, Wolfgang Woerndl, Bernard Bäker, Michael Koch, Gail E. Kaiser, Peter H. Feiler, Georg Groh, Andrey Kiselev and Hung‐Hsuan Huang. Their work appears in journals such as Journal of the Association for Information Systems, Computer Networks and Computer Communications.

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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