Daniel Schuster

1.1k citations
46 papers · 319 · h-index 10

Impact in

Papers in

Daniel Schuster

37 papers receiving 302 citations

Peers

Daniel Schuster
Comparison fields: 5 of 56
  • Management Information Systems 78
  • Computer Networks and Communications 111
  • Computer Vision and Pattern Recognition 94
  • Transportation 29
  • Information Systems 80
Replace Atif Manzoor with:
Atif Manzoor Austria
Yann Bocchi Switzerland
Valerie Guralnik United States
Krešimir Fertalj Croatia
Nikolaos Georgantas France
Salma Mouline Morocco
Agnès Voisard Germany
Thomas Springer Germany
Jason B. Ernst Canada
Carlos E. Cuesta Spain
Daniel Schuster relative to Atif Manzoor Austria Atif Manzoor's profile →
Citations per field
00.5×3.5×
Atif Manzoor · 1×
Citations per year

Countries citing papers authored by Daniel Schuster

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Schuster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202344
2 201336
3 201331
4 201124
5 201323
6 202223
7 201116
8 201116
9 201414
10 201311
11 20238
12 20127
13 20106
14 20235
15 20125
16 20114
17 20144
18 20134
19 20243
20 20083

About Daniel Schuster

Daniel Schuster is a scholar working on Information Systems, Computer Networks and Communications, Management Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 46 papers that have together received 319 indexed citations. Recurring topics across this work include Business Process Modeling and Analysis (13 papers), Semantic Web and Ontologies (13 papers), Service-Oriented Architecture and Web Services (11 papers), Context-Aware Activity Recognition Systems (7 papers), Data Quality and Management (6 papers), Web Data Mining and Analysis (6 papers), Advanced Database Systems and Queries (4 papers) and Opportunistic and Delay-Tolerant Networks (4 papers). The work is most often cited by research in Management Information Systems (78 citations), Computer Networks and Communications (111 citations), Computer Vision and Pattern Recognition (94 citations), Transportation (29 citations) and Information Systems (80 citations). Daniel Schuster has collaborated with scholars based in Germany, Brazil and Italy. Frequent co-authors include Alexander Schill, Thomas Springer, Wil M. P. van der Aalst, Alessandro Berti, Daniel E. Esser, Sebastiaan J. van Zelst, Markus Endler, Michael Berger, Franco Zambonelli and Marco Mamei. Their work appears in journals such as Information Systems, Computers in Industry, Information Sciences, SoftwareX and Decision Support Systems.

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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