Eric Peukert

571 total citations
15 papers, 118 citations indexed

About

Eric Peukert is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Eric Peukert has authored 15 papers receiving a total of 118 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Information Systems, 8 papers in Artificial Intelligence and 7 papers in Computer Networks and Communications. Recurrent topics in Eric Peukert's work include Semantic Web and Ontologies (8 papers), Service-Oriented Architecture and Web Services (6 papers) and Advanced Database Systems and Queries (6 papers). Eric Peukert is often cited by papers focused on Semantic Web and Ontologies (8 papers), Service-Oriented Architecture and Web Services (6 papers) and Advanced Database Systems and Queries (6 papers). Eric Peukert collaborates with scholars based in Germany, Switzerland and Italy. Eric Peukert's co-authors include Erhard Rahm, Sabine Maßmann, Wolfgang E. Nagel, Mehrdad Rostami, René Jäkel, Sergio Terzi, Wolfgang Lehner, Andrea Buda, Dimitris Kiritsis and Stefan Kühne and has published in prestigious journals such as SHILAP Revista de lepidopterología, it - Information Technology and Procedia CIRP.

In The Last Decade

Eric Peukert

14 papers receiving 103 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Eric Peukert Germany 5 89 69 53 41 17 15 118
Mohsen Taheriyan United States 5 91 1.0× 42 0.6× 46 0.9× 27 0.7× 18 1.1× 7 113
Ivan Ermilov Germany 5 72 0.8× 43 0.6× 27 0.5× 25 0.6× 11 0.6× 13 96
Fabien Duchateau France 8 113 1.3× 45 0.7× 90 1.7× 53 1.3× 20 1.2× 21 143
Olaf Görlitz Germany 3 111 1.2× 35 0.5× 39 0.7× 72 1.8× 21 1.2× 3 158
Pavlos Fafalios Greece 8 117 1.3× 41 0.6× 59 1.1× 21 0.5× 12 0.7× 31 150
Edgard Marx Germany 7 216 2.4× 45 0.7× 58 1.1× 21 0.5× 11 0.6× 23 247
Roee Shraga Israel 8 117 1.3× 82 1.2× 50 0.9× 41 1.0× 25 1.5× 25 170
Knud Möller Ireland 7 76 0.9× 22 0.3× 47 0.9× 20 0.5× 8 0.5× 11 93
Marco Console Italy 8 135 1.5× 43 0.6× 41 0.8× 82 2.0× 30 1.8× 30 154
Heiko Stoermer Italy 8 121 1.4× 76 1.1× 60 1.1× 50 1.2× 12 0.7× 20 144

Countries citing papers authored by Eric Peukert

Since Specialization
Citations

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

Fields of papers citing papers by Eric Peukert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric Peukert

This figure shows the co-authorship network connecting the top 25 collaborators of Eric Peukert. A scholar is included among the top collaborators of Eric Peukert 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 Eric Peukert. Eric Peukert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Rostami, Mehrdad, et al.. (2019). 4.-8. März 2019. Gesellschaft für Informatik (GI). 559–563. 1 indexed citations
2.
Peukert, Eric, et al.. (2019). BIGGR: Bringing Gradoop to Applications. Datenbank-Spektrum. 19(1). 51–60. 1 indexed citations
3.
Peukert, Eric, et al.. (2019). 4.-8. März 2019. Gesellschaft für Informatik (GI). 193–202. 2 indexed citations
4.
Peukert, Eric, et al.. (2018). Scalable Matching and Clustering of Entities with FAMER. SHILAP Revista de lepidopterología. 61–83. 16 indexed citations
5.
Jäkel, René, Eric Peukert, Wolfgang E. Nagel, & Erhard Rahm. (2018). ScaDS Dresden/Leipzig – A competence center for collaborative big data research. it - Information Technology. 60(5-6). 327–333. 2 indexed citations
6.
Rahm, Erhard, Wolfgang E. Nagel, Eric Peukert, et al.. (2018). Big Data Competence Center ScaDS Dresden/Leipzig: Overview and selected research activities. Datenbank-Spektrum. 19(1). 5–16. 2 indexed citations
7.
Rostami, Mehrdad, et al.. (2018). Interactive Visualization of Large Similarity Graphs and Entity Resolution Clusters. Movebank. 3 indexed citations
8.
Peukert, Eric, et al.. (2015). A Smart Link Infrastructure for Integrating and Analyzing Process Data.. BTW. 547–564. 1 indexed citations
9.
10.
Peukert, Eric, et al.. (2012). A Self-Configuring Schema Matching System. 16. 306–317. 17 indexed citations
11.
Peukert, Eric, et al.. (2011). AMC - A framework for modelling and comparing matching systems as matching processes. 1304–1307. 37 indexed citations
12.
Peukert, Eric, et al.. (2011). Rule-based construction of matching processes. 2421–2424. 2 indexed citations
13.
Peukert, Eric & Erhard Rahm. (2011). Restricting the overlap of Top-N sets in schema matching. 20–25. 1 indexed citations
14.
Peukert, Eric, et al.. (2010). Comparing Similarity Combination Methods for Schema Matching.. GI Jahrestagung (1). 692–701. 15 indexed citations
15.
Peukert, Eric, et al.. (2010). Rewrite techniques for performance optimization of schema matching processes. 453–464. 18 indexed citations

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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