Countries citing papers authored by Benjamin Kille
Since
Specialization
Citations
This map shows the geographic impact of Benjamin Kille'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 Benjamin Kille with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Kille more than expected).
This network shows the impact of papers produced by Benjamin Kille. 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 Benjamin Kille. The network helps show where Benjamin Kille may publish in the future.
Co-authorship network of co-authors of Benjamin Kille
This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin Kille.
A scholar is included among the top collaborators of Benjamin Kille 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 Benjamin Kille. Benjamin Kille is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kille, Benjamin, Özlem Özgöbek, & Andreas Lommatzsch. (2018). Defining Contextual Factors for News Consumption..1 indexed citations
5.
Lommatzsch, Andreas & Benjamin Kille. (2018). Baseline Algorithms for Predicting the Interest in News Based on Multimedia-Data.. MediaEval.1 indexed citations
6.
Lommatzsch, Andreas, et al.. (2018). NewsREEL Multimedia at MediaEval 2018: News Recommendation with Image and Text Content. White Rose Research Online (University of Leeds, The University of Sheffield, University of York).3 indexed citations
7.
Kille, Benjamin, et al.. (2017). CLEF 2017 NewsREEL Overview: Offline and Online Evaluation of Stream-based News Recommender Systems. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 1–13.5 indexed citations
Yuan, Jing, Andreas Lommatzsch, & Benjamin Kille. (2016). Clicks Pattern Analysis for Online News Recommendation Systems.. CLEF (Working Notes). 679–690.
11.
Lommatzsch, Andreas, et al.. (2016). Idomaar: A Framework for Multi-dimensional Benchmarking of Recommender Algorithms. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam).7 indexed citations
12.
Hopfgartner, Frank, Andreas Lommatzsch, Benjamin Kille, et al.. (2016). The potentials of recommender systems challenges for student learning. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 1–2.1 indexed citations
Said, Alan, Alejandro Bellogín, Arjen P. de Vries, & Benjamin Kille. (2013). Information Retrieval and User-Centric Recommender System Evaluation. Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands.2 indexed citations
Said, Alan, Benjamin Kille, Ernesto William De Luca, & Şahin Albayrak. (2011). Personalizing tags. 53–56.7 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.