Johann Gamper

2.0k total citations
97 papers, 1.0k citations indexed

About

Johann Gamper is a scholar working on Signal Processing, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Johann Gamper has authored 97 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Signal Processing, 46 papers in Artificial Intelligence and 43 papers in Computer Networks and Communications. Recurrent topics in Johann Gamper's work include Data Management and Algorithms (47 papers), Advanced Database Systems and Queries (35 papers) and Algorithms and Data Compression (12 papers). Johann Gamper is often cited by papers focused on Data Management and Algorithms (47 papers), Advanced Database Systems and Queries (35 papers) and Algorithms and Data Compression (12 papers). Johann Gamper collaborates with scholars based in Italy, Switzerland and Germany. Johann Gamper's co-authors include Michael H. Böhlen, David B. Blumenthal, Anton Dignös, Nikolaus Augsten, Wolfgang Nejdl, Ulf Leser, Panagiotis Bouros, Peter Brusilovsky, Daniel Taliun and Cristian Pattaro and has published in prestigious journals such as ACM Computing Surveys, BMC Bioinformatics and Information Sciences.

In The Last Decade

Johann Gamper

90 papers receiving 936 citations

Peers

Johann Gamper
Rami Puzis Israel
Arnab Nandi United States
Lorcan Coyle Ireland
Manish Mehta United States
Rami Puzis Israel
Johann Gamper
Citations per year, relative to Johann Gamper Johann Gamper (= 1×) peers Rami Puzis

Countries citing papers authored by Johann Gamper

Since Specialization
Citations

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

Fields of papers citing papers by Johann Gamper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johann Gamper

This figure shows the co-authorship network connecting the top 25 collaborators of Johann Gamper. A scholar is included among the top collaborators of Johann Gamper 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 Gamper. Johann Gamper 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
1.
Wrembel, Robert & Johann Gamper. (2024). Data analytics and knowledge discovery on big data: Algorithms, architectures, and applications. Data & Knowledge Engineering. 150. 102279–102279. 1 indexed citations
2.
Dignös, Anton, et al.. (2024). Self-tuning Database Systems: A Systematic Literature Review of Automatic Database Schema Design and Tuning. ACM Computing Surveys. 56(11). 1–37. 2 indexed citations
3.
Blumenthal, David B., et al.. (2024). Efficiently Labeling and Retrieving Temporal Anomalies in Relational Databases. Information Systems Frontiers.
4.
Dignös, Anton, et al.. (2023). Indexing Temporal Relations for Range-Duration Queries. Research Padua Archive (University of Padua). 1–12. 1 indexed citations
5.
Blumenthal, David B., Sébastien Bougleux, Anton Dignös, & Johann Gamper. (2022). Enumerating dissimilar minimum cost perfect and error-correcting bipartite matchings for robust data matching. Information Sciences. 596. 202–221.
6.
Dignös, Anton, Michael H. Böhlen, Johann Gamper, Christian S. Jensen, & Peter Moser. (2021). Leveraging range joins for the computation of overlap joins. The VLDB Journal. 31(1). 75–99. 5 indexed citations
7.
Blumenthal, David B., et al.. (2021). Scalable generalized median graph estimation and its manifold use in bioinformatics, clustering, classification, and indexing. Information Systems. 100. 101766–101766. 4 indexed citations
9.
Gamper, Johann, Sophie Pinchinat, & Guido Sciavicco. (2019). Front Matter, Table of Contents, Preface, Conference Organization. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 20 indexed citations
10.
Blumenthal, David B., et al.. (2019). Comparing heuristics for graph edit distance computation. The VLDB Journal. 29(1). 419–458. 24 indexed citations
11.
Blumenthal, David B. & Johann Gamper. (2018). On the exact computation of the graph edit distance. Pattern Recognition Letters. 134. 46–57. 54 indexed citations
12.
Helmer, Sven, et al.. (2018). Interactive and space-efficient multi-dimensional time series subsequence matching. Information Systems. 82. 121–135. 3 indexed citations
13.
Böhlen, Michael H., Anton Dignös, Johann Gamper, & Christian S. Jensen. (2018). Database Technology for Processing Temporal Data (Invited Paper). DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 2 indexed citations
14.
Dignös, Anton, et al.. (2018). Sparse prefix sums: Constant-time range sum queries over sparse multidimensional data cubes. Information Systems. 82. 136–147. 1 indexed citations
15.
Blumenthal, David B. & Johann Gamper. (2017). Improved Lower Bounds for Graph Edit Distance. IEEE Transactions on Knowledge and Data Engineering. 30(3). 503–516. 16 indexed citations
16.
Gamper, Johann, et al.. (2016). osmPti2mmds - Erstellung von multimodalen Datensets aus OpenStreetMap und ÖPNV-Informationen.. View. 2. 185–190. 1 indexed citations
17.
Gamper, Johann, et al.. (2014). Missing Value Imputation in Time Series Using Top-k Case Matching.. Open MIND. 77–82. 1 indexed citations
18.
Augsten, Nikolaus, Michael H. Böhlen, & Johann Gamper. (2006). An incrementally maintainable index for approximate lookups in hierarchical data. Very Large Data Bases. 247–258. 8 indexed citations
19.
Trifonova, Anna, et al.. (2004). Mobile ELDIT: Transition from an e-Learning to an m-Learning System. Institutional Research Information System (Università degli Studi di Trento). 2004(1). 188–193. 9 indexed citations
20.
Abel, Andrea, et al.. (2003). Describing Verb Valency in an Electronic Learner’s Dictionary: Linguistic and Technical Implications. EdMedia: World Conference on Educational Media and Technology. 2003(1). 1202–1209. 1 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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