Countries citing papers authored by Alexander Löser
Since
Specialization
Citations
This map shows the geographic impact of Alexander Löser'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 Löser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Löser more than expected).
This network shows the impact of papers produced by Alexander Löser. 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 Löser. The network helps show where Alexander Löser may publish in the future.
Co-authorship network of co-authors of Alexander Löser
This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Löser.
A scholar is included among the top collaborators of Alexander Löser 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 Alexander Löser. Alexander Löser is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Löser, Alexander, et al.. (2020). Discovering Biased News Articles Leveraging Multiple Human Annotations. Language Resources and Evaluation. 1268–1277.1 indexed citations
7.
Gers, Felix A., et al.. (2020). Is Language Modeling Enough? Evaluating Effective Embedding Combinations. Language Resources and Evaluation. 4739–4748.
8.
Arnold, Sebastian, et al.. (2016). TASTY: Interactive Entity Linking As-You-Type. International Conference on Computational Linguistics. 111–115.6 indexed citations
9.
Löser, Alexander, et al.. (2016). Interactive Relation Extraction in Main Memory Database Systems. International Conference on Computational Linguistics. 103–106.2 indexed citations
10.
Kirschnick, Johannes, et al.. (2014). A Marketplace for Web Scale Analytics and Text Annotation Services. International Conference on Computational Linguistics. 100–104.1 indexed citations
11.
Akbik, Alan, et al.. (2013). Effective Selectional Restrictions for Unsupervised Relation Extraction. International Joint Conference on Natural Language Processing. 1312–1320.7 indexed citations
12.
Löser, Alexander. (2013). Information Marketplaces for Big Data Analytics.. 3.1 indexed citations
13.
Stahl, Florian, Alexander Löser, & Gottfried Vossen. (2013). Preismodelle für Datenmarktplätze. Informatik-Spektrum. 38(2). 133–141.4 indexed citations
14.
Akbik, Alan & Alexander Löser. (2012). KrakeN: N-ary Facts in Open Information Extraction. North American Chapter of the Association for Computational Linguistics. 52–56.35 indexed citations
15.
Löser, Alexander, et al.. (2011). FactCrawl: A Fact Retrieval Framework for Full-Text Indices..8 indexed citations
16.
Löser, Alexander, et al.. (2008). What's the intention behind your query? A few observations from a large developer community. 9(5). 326–326.3 indexed citations
17.
Kailing, Karin, Alexander Löser, & Volker Markl. (2006). Challenges and Trends in Information Management.. Datenbank-Spektrum. 19. 15–22.2 indexed citations
18.
Schmitz, Christoph & Alexander Löser. (2006). How to model Semantic Peer-to-Peer Overlays?. GI Jahrestagung (1). 12–19.2 indexed citations
Löser, Alexander, et al.. (2003). Semantic Overlay Clusters within Super-Peer Networks. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft).5 indexed citations
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.