Matthieu-P. Schapranow

541 citations
49 papers · 282 indexed · h-index 9

Matthieu-P. Schapranow

48 papers receiving 268 citations

Peers

Matthieu-P. Schapranow
Comparison fields: 5 of 72
  • Information Systems 78
  • Artificial Intelligence 60
  • Computer Networks and Communications 53
  • Molecular Biology 52
  • Media Technology 51
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Countries citing papers authored by Matthieu-P. Schapranow

Since Specialization
Citations

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

Fields of papers citing papers by Matthieu-P. Schapranow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthieu-P. Schapranow. 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 Matthieu-P. Schapranow. The network helps show where Matthieu-P. Schapranow may publish in the future.

Co-authorship network of co-authors of Matthieu-P. Schapranow

This figure shows the co-authorship network connecting the top 25 collaborators of Matthieu-P. Schapranow. A scholar is included among the top collaborators of Matthieu-P. Schapranow 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 Matthieu-P. Schapranow. Matthieu-P. Schapranow 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 1
2 4
3 1
4 5
5 4
6 6
7 2
8 7
9 17
10
IT-Aided Business Process Enabling Real-Time Analysis of Candidates for Clinical Trials
1
11
Applying In-Memory Technology for Automatic Template Filling in the Clinical Domain.
2
12
In-Memory Computing Enabling Real-time Genome Data Analysis
3
13
High-Performance In-Memory Genome Project: A Platform for Integrated Real-Time Genome Data Analysis
1
14 14
15 2
16
CoMoSeR: Cost model for security-enhanced RFID-aided supply chains
4
17 8
18
Integration of RFID Technology is a Key Enabler for Demand-Driven Supply Network
6
19 2
20
A Software as a Service RFID Middleware for Small and Medium-sized Enterprises
3

About Matthieu-P. Schapranow

Matthieu-P. Schapranow is a scholar working on Media Technology, Computer Networks and Communications and Information Systems and Management, having authored 49 papers that have together received 282 indexed citations. Recurring topics across this work include RFID technology advancements (13 papers), Genomics and Phylogenetic Studies (6 papers) and Topic Modeling (5 papers). The work is most often cited by research in Health Informatics (11 citations), Media Technology (51 citations) and Information Systems (78 citations). Matthieu-P. Schapranow has collaborated with scholars based in Germany, United States and Hungary. Frequent co-authors include Hasso Plattner, Alexander Zeier, Frédéric Schneider, Juergen Mueller, Gérard Krause, Randy R. Richter, Justus Benzler, Matthias Uflacker, G Poggensee and Jens Krueger. Their work appears in journals such as Hypertension, Journal of Proteome Research and Briefings in Bioinformatics.

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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