Robert Binna
Impact in
- Archeology top 2%
- Forensic Anthropology and Bioarchaeology Studies
- Genetics top 10%
- Forensic and Genetic Research
- Genetic diversity and population structure
- Yersinia bacterium, plague, ectoparasites research
Papers in
-
- Advanced Database Systems and Queries 5
- Advanced Data Storage Technologies 3
- Caching and Content Delivery 1
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- Algorithms and Data Compression 2
- Semantic Web and Ontologies 2
- Co-authors
- Günther Specht (5 shared papers)Dominic Pacher (4 shared papers)Sebastian Schönherr (1 shared paper)Florian Kronenberg (1 shared paper)Anita Kloss‐Brandstätter (1 shared paper)Hansi Weißensteiner (1 shared paper)Eva Zangerle (4 shared papers)Martin Pichl (2 shared papers)
- Journals
- Human Mutation (1 paper)ACM Transactions on Database Systems (1 paper)Lecture notes in computer science (1 paper)Digital Library of the University of Innsbruck (University of Innsbruck) (1 paper)
In The Last Decade
Robert Binna
7 papers receiving 467 citations
Peers
Comparison fields: 5 of 70
- Archeology 111
- Genetics 261
- Paleontology 44
- Hardware and Architecture 31
- Clinical Biochemistry 26
Countries citing papers authored by Robert Binna
This map shows the geographic impact of Robert Binna'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 Robert Binna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Binna more than expected).
Fields of papers citing papers by Robert Binna
This network shows the impact of papers produced by Robert Binna. 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 Robert Binna. The network helps show where Robert Binna may publish in the future.
Co-authors
The 11 scholars most cited alongside Robert Binna, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 385 | |
| 2 | 2018 | 64 | |
| 3 | SpiderStore: Exploiting Main Memory for Efficient RDF Graph Representation and Fast Querying | 2010 | 10 |
| 4 | SpiderStore: A Native Main Memory Approach for Graph Storage | 2011 | 6 |
| 5 | 2022 | 5 | |
| 6 | Fast and space-efficient indexing for main-memory database systems on modern hardware | 2020 | 1 |
| 7 | 2015 | 1 |
About Robert Binna
Robert Binna is a scholar working on Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology and Information Systems, having authored 7 papers that have together received 472 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (5 papers), Advanced Data Storage Technologies (3 papers), Algorithms and Data Compression (2 papers), Semantic Web and Ontologies (2 papers), Graph Theory and Algorithms (2 papers), Genomics and Phylogenetic Studies (1 paper), Caching and Content Delivery (1 paper) and Data Management and Algorithms (1 paper). The work is most often cited by research in Archeology (111 citations), Genetics (261 citations), Paleontology (44 citations), Hardware and Architecture (31 citations) and Clinical Biochemistry (26 citations). Robert Binna has collaborated with scholars based in Austria and Germany. Frequent co-authors include Günther Specht, Dominic Pacher, Sebastian Schönherr, Florian Kronenberg, Anita Kloss‐Brandstätter, Hansi Weißensteiner, Eva Zangerle, Martin Pichl, Viktor Leis and W. Gässler. Their work appears in journals such as Human Mutation, ACM Transactions on Database Systems, Lecture notes in computer science and Digital Library of the University of Innsbruck (University of Innsbruck).
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.