Florian Waas

2.0k citations
39 papers · 566 indexed · h-index 12
Topics
Advanced Database Systems and Queries (30 papers)Data Management and Algorithms (18 papers)Cloud Computing and Resource Management (12 papers)

In The Last Decade

Florian Waas

31 papers receiving 481 citations

Peers

Florian Waas
Comparison fields: 5 of 35
  • Computer Networks and Communications 463
  • Signal Processing 284
  • Artificial Intelligence 221
  • Information Systems 180
  • Computer Vision and Pattern Recognition 87
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Citations per field
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Citations per year

Countries citing papers authored by Florian Waas

Since Specialization
Citations

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

Fields of papers citing papers by Florian Waas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florian Waas

This figure shows the co-authorship network connecting the top 25 collaborators of Florian Waas. A scholar is included among the top collaborators of Florian Waas 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 Florian Waas. Florian Waas 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 4
2 1
3 5
4 11
5 15
6 13
7 2
8 5
9
Database change notifications: primitives for efficient database query result caching
5
10 6
11
A look back on the XML Benchmark project
0
12
FeedbackBypass: A New Approach to Interactive Similarity Query Processing
57
13 31
14
Efficient Relational Storage and Retrieval of XML Documents
3
15
The effect of cost distributions on evolutionary optimization algorithms
2
16
Integrating I/O processing and transparent parallelism: toward comprehensive query execution in parallel database systems
1
17 1
18
Cost distributions in symmetric euclidean traveling salesman problems -- a supplement to TSPLIB
1
19
On Optimal Pipeline Processing in Parallel Query Execution
1
20
Exploiting cost distributions for query optimization
1

About Florian Waas

Florian Waas is a scholar working on Signal Processing, Computer Networks and Communications and Information Systems, having authored 39 papers that have together received 566 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (30 papers), Data Management and Algorithms (18 papers) and Cloud Computing and Resource Management (12 papers). The work is most often cited by research in Signal Processing (284 citations), Computer Networks and Communications (463 citations) and Information Systems (180 citations). Florian Waas has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Martin Kersten, Albrecht Schmidt, Ralph Busse, Ioana Manolescu, Michael J. Carey, Daniela Florescu, Ilaria Bartolini, Paolo Ciaccia, César Galindo-Legaria and Mohamed A. Soliman. Their work appears in journals such as Proceedings of the VLDB Endowment, ACM SIGMOD Record and Lecture notes in computer science.

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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