Alexander Behm

1.1k citations
13 papers · 359 · h-index 9

Impact in

Papers in

Alexander Behm

13 papers receiving 333 citations

Peers

Alexander Behm
Comparison fields: 5 of 36
  • Signal Processing 130
  • Computer Networks and Communications 193
  • Information Systems 175
  • Management Science and Operations Research 78
  • Information Systems and Management 25
Replace Cristina Dutra de Aguiar Ciferri with:
Cristina Dutra de Aguiar Ciferri Brazil
Liping Peng United States
Marcel Kornacker United States
Jens-Peter Dittrich Switzerland
Magda Balazinska United States
Vishal Sikka United States
Karl Schnaitter United States
Olaf Görlitz Germany
Boduo Li United States
Lukas Blunschi Switzerland
Alexander Behm relative to Cristina Dutra de Aguiar Ciferri Brazil Cristina Dutra de Aguiar Ciferri's profile →
Citations per field
00.5×1.5×1.9×
Cristina Dutra de Aguiar Ciferri · 1×
Citations per year

Countries citing papers authored by Alexander Behm

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Alexander Behm Line = papers co-authored together Alexander Behm links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 201183
2 200963
3 201459
4 201146
5 201028
6 201123
7 201218
8 202016
9 201912
10 20127
11 20182
12
Integrating Query-Feedback Based Statistics into Informix Dynamic Server.
20071
13
Proposal for a seed certification scheme
20021

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 359 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), Algorithms and Data Compression (2 papers), Advanced Data Storage Technologies (2 papers), Genomics and Phylogenetic Studies (1 paper), RNA and protein synthesis mechanisms (1 paper) and Bayesian Modeling and Causal Inference (1 paper). The work is most often cited by research in Signal Processing (130 citations), Computer Networks and Communications (193 citations), Information Systems (175 citations), Management Science and Operations Research (78 citations) and Information Systems and Management (25 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, Sattam Alsubaiee, Shengyue Ji, Jiaheng Lu, Rares Vernica, Raman Grover, Nicola Onose and Young-Seok Kim. Their work appears in journals such as Proceedings of the VLDB Endowment, Software Practice and Experience, Distributed and Parallel Databases, Information Systems 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.

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