Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
This map shows the geographic impact of Alan Akbik'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 Alan Akbik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alan Akbik more than expected).
This network shows the impact of papers produced by Alan Akbik. 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 Alan Akbik. The network helps show where Alan Akbik may publish in the future.
Co-authorship network of co-authors of Alan Akbik
This figure shows the co-authorship network connecting the top 25 collaborators of Alan Akbik.
A scholar is included among the top collaborators of Alan Akbik 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 Alan Akbik. Alan Akbik is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Akbik, Alan & Roland Vollgraf. (2018). ZAP: An Open-Source Multilingual Annotation Projection Framework. Language Resources and Evaluation.3 indexed citations
9.
Akbik, Alan, et al.. (2018). FEIDEGGER: A Multi-modal Corpus of Fashion Images and Descriptions in German. Language Resources and Evaluation.1 indexed citations
10.
Akbik, Alan & Yunyao Li. (2016). K-SRL: Instance-based Learning for Semantic Role Labeling. International Conference on Computational Linguistics. 599–608.6 indexed citations
11.
Akbik, Alan, et al.. (2016). Multilingual Aliasing for Auto-Generating Proposition Banks. International Conference on Computational Linguistics. 3466–3474.6 indexed citations
12.
Akbik, Alan, et al.. (2016). Multilingual Information Extraction with PolyglotIE. International Conference on Computational Linguistics. 268–272.5 indexed citations
13.
Akbik, Alan, et al.. (2014). The Weltmodell: A Data-Driven Commonsense Knowledge Base. Language Resources and Evaluation. 3272–3276.6 indexed citations
14.
Arnold, Sebastian, et al.. (2014). Nerdle: Topic-Specific Question Answering Using Wikia Seeds. International Conference on Computational Linguistics. 81–85.9 indexed citations
15.
Kirschnick, Johannes, et al.. (2014). Freepal: A Large Collection of Deep Lexico-Syntactic Patterns for Relation Extraction. Language Resources and Evaluation. 2071–2075.3 indexed citations
16.
Akbik, Alan, et al.. (2013). Automatic Preservation Watch using Information Extraction on the Web.. iPRES.1 indexed citations
17.
Akbik, Alan, et al.. (2013). Propminer: A Workflow for Interactive Information Extraction and Exploration using Dependency Trees. Meeting of the Association for Computational Linguistics. 157–162.13 indexed citations
18.
Akbik, Alan, et al.. (2013). Effective Selectional Restrictions for Unsupervised Relation Extraction. International Joint Conference on Natural Language Processing. 1312–1320.7 indexed citations
19.
Akbik, Alan, et al.. (2012). Unsupervised Discovery of Relations and Discriminative Extraction Patterns. International Conference on Computational Linguistics. 17–32.20 indexed citations
20.
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
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.