Johann Gamper

165 total papers · 2.0k total citations
97 papers, 995 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 995 indexed citations (citations by other indexed papers that have themselves been cited), including 48 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 (46 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 (46 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, Cristian Pattaro, Daniel Taliun and Peter Brusilovsky 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 930 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Johann Gamper 437 371 322 223 198 97 995
Enrico Nardelli 169 0.4× 513 1.4× 533 1.7× 174 0.8× 175 0.9× 87 1.1k
Lidan Shou 472 1.1× 323 0.9× 258 0.8× 271 1.2× 225 1.1× 110 1.1k
Nieves R. Brisaboa 582 1.3× 287 0.8× 360 1.1× 276 1.2× 283 1.4× 101 1.1k
Sven Helmer 451 1.0× 415 1.1× 769 2.4× 417 1.9× 148 0.7× 75 1.1k
Juan M. Fernández‐Luna 557 1.3× 154 0.4× 127 0.4× 552 2.5× 182 0.9× 84 1.1k
Arnab Nandi 330 0.8× 322 0.9× 390 1.2× 250 1.1× 285 1.4× 67 1.1k
Tong Li 508 1.2× 185 0.5× 428 1.3× 419 1.9× 50 0.3× 100 1.2k
Antonio M. Mora 487 1.1× 89 0.2× 162 0.5× 134 0.6× 96 0.5× 113 1.0k
Phivos Mylonas 373 0.9× 175 0.5× 92 0.3× 252 1.1× 449 2.3× 174 1.2k
Toshiyuki Amagasa 658 1.5× 526 1.4× 643 2.0× 247 1.1× 119 0.6× 128 1.1k

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

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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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