Frank Ramsak

1.2k citations
7 papers · 122 · h-index 4

Impact in

Papers in

Journals
Very Large Data Bases (1 paper)RMIT Research Repository (RMIT University Library) (1 paper)BTW (1 paper)

In The Last Decade

Frank Ramsak

5 papers receiving 110 citations

Peers

Frank Ramsak
Comparison fields: 5 of 19
  • Signal Processing 98
  • Computer Networks and Communications 96
  • Information Systems 41
  • Artificial Intelligence 35
  • Computer Vision and Pattern Recognition 21
Replace Mohamed Ziauddin with:
Mohamed Ziauddin United States
Uwe Thaden Germany
Mihai Cimpoeşu Romania
Ryan Huebsch United States
Peter Teufl Austria
Flavio Rizzolo Canada
Torsten Grabs United States
Bernd Amann France
Anne Tchounikine France
Maciej Zakrzewicz Poland
Frank Ramsak relative to Mohamed Ziauddin United States Mohamed Ziauddin's profile →
Citations per field
00.5×1.5×2.5×
Mohamed Ziauddin · 1×
Citations per year

Countries citing papers authored by Frank Ramsak

Since Specialization
Citations

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

Fields of papers citing papers by Frank Ramsak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside Frank Ramsak, 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 Frank Ramsak Line = papers co-authored together Frank Ramsak links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
Integrating the UB-Tree into a Database System Kernel
200081
2 200331
3
Multidimensional Mapping and Indexing of XML.
20035
4 20044
5 20021
6
The Transbase Hypercube RDBMS: Multidimensional Indexing of Relational Tables.
20010
7
Indexing XML as a Multidimensional Problem
20020

About Frank Ramsak

Frank Ramsak is a scholar working on Computer Networks and Communications, Signal Processing, Artificial Intelligence, Information Systems and Infectious Diseases, having authored 7 papers that have together received 122 indexed citations. Recurring topics across this work include Data Management and Algorithms (7 papers), Advanced Database Systems and Queries (7 papers), Semantic Web and Ontologies (3 papers), Data Stream Mining Techniques (2 papers) and Data Mining Algorithms and Applications (2 papers). The work is most often cited by research in Signal Processing (98 citations), Computer Networks and Communications (96 citations), Information Systems (41 citations), Artificial Intelligence (35 citations) and Computer Vision and Pattern Recognition (21 citations). Frank Ramsak has collaborated with scholars based in Germany, United States and Greece. Frequent co-authors include Volker Markl, Rudolf Bayer, Raymond Bayer, Thomas Ruf and Timos Sellis. Their work appears in journals such as Very Large Data Bases, RMIT Research Repository (RMIT University Library) and BTW.

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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