Alexander Behm
Impact in
- Signal Processing top 5%
- Data Management and Algorithms
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- Advanced Database Systems and Queries
- Advanced Data Storage Technologies
Papers in
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- Advanced Database Systems and Queries 11
- Advanced Data Storage Technologies 2
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- Data Management and Algorithms 11
- Co-authors
- Chen Li (11 shared papers)Michael J. Carey (8 shared papers)Vinayak Borkar (7 shared papers)Shengyue Ji (1 shared paper)Jiaheng Lu (1 shared paper)Sattam Alsubaiee (4 shared papers)Rares Vernica (5 shared papers)Young-Seok Kim (2 shared papers)
- Journals
- Proceedings of the VLDB Endowment (2 papers)Information Systems (1 paper)Software Practice and Experience (1 paper)Distributed and Parallel Databases (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Alexander Behm
13 papers receiving 291 citations
Peers
Comparison fields: 5 of 38
- Signal Processing 115
- Computer Networks and Communications 170
- Information Systems 147
- Management Science and Operations Research 67
- Artificial Intelligence 106
Countries citing papers authored by Alexander Behm
This map shows the geographic impact of Alexander Behm'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 Alexander Behm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Behm more than expected).
Fields of papers citing papers by Alexander Behm
This network shows the impact of papers produced by Alexander Behm. 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 Alexander Behm. The network helps show where Alexander Behm may publish in the future.
Co-authors
The 23 scholars most cited alongside Alexander Behm, 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 | 2011 | 67 | |
| 2 | 2009 | 59 | |
| 3 | 2014 | 55 | |
| 4 | 2011 | 43 | |
| 5 | 2011 | 21 | |
| 6 | 2010 | 20 | |
| 7 | 2012 | 16 | |
| 8 | 2020 | 14 | |
| 9 | 2019 | 9 | |
| 10 | 2012 | 5 | |
| 11 | 2018 | 2 | |
| 12 | Integrating Query-Feedback Based Statistics into Informix Dynamic Server. | 2007 | 1 |
| 13 | Proposal for a seed certification scheme | 2002 | 1 |
About Alexander Behm
Alexander Behm is a scholar working on Computer Networks and Communications, Signal Processing, Artificial Intelligence, Management Science and Operations Research and Molecular Biology, having authored 13 papers that have together received 313 indexed citations. Recurring topics across this work include Data Management and Algorithms (11 papers), Advanced Database Systems and Queries (11 papers), Data Quality and Management (4 papers), Advanced Data Storage Technologies (2 papers), Algorithms and Data Compression (2 papers), Graph Theory and Algorithms (1 paper), Semantic Web and Ontologies (1 paper) and Banana Cultivation and Research (1 paper). The work is most often cited by research in Signal Processing (115 citations), Computer Networks and Communications (170 citations), Information Systems (147 citations), Management Science and Operations Research (67 citations) and Artificial Intelligence (106 citations). Alexander Behm has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Chen Li, Michael J. Carey, Vinayak Borkar, Shengyue Ji, Jiaheng Lu, Sattam Alsubaiee, Rares Vernica, Young-Seok Kim, Raman Grover and Nicola Onose. Their work appears in journals such as Proceedings of the VLDB Endowment, Information Systems, Software Practice and Experience, Distributed and Parallel Databases and Nucleic Acids Research.
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.