Gerhard Weikum

26.9k total citations · 4 hit papers
472 papers, 12.8k citations indexed

About

Gerhard Weikum is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Gerhard Weikum has authored 472 papers receiving a total of 12.8k indexed citations (citations by other indexed papers that have themselves been cited), including 280 papers in Artificial Intelligence, 178 papers in Computer Networks and Communications and 150 papers in Information Systems. Recurrent topics in Gerhard Weikum's work include Topic Modeling (156 papers), Natural Language Processing Techniques (116 papers) and Semantic Web and Ontologies (106 papers). Gerhard Weikum is often cited by papers focused on Topic Modeling (156 papers), Natural Language Processing Techniques (116 papers) and Semantic Web and Ontologies (106 papers). Gerhard Weikum collaborates with scholars based in Germany, United States and Switzerland. Gerhard Weikum's co-authors include Fabian M. Suchanek, Thomas Neumann, Johannes Hoffart, Klaus Berberich, Elizabeth O’Neil, Patrick O’Neil, Gjergji Kasneci, Gerard de Melo, Martin Theobald and Ndapa Nakashole and has published in prestigious journals such as Communications of the ACM, BMC Bioinformatics and Artificial Intelligence.

In The Last Decade

Gerhard Weikum

451 papers receiving 11.8k citations

Hit Papers

YAGO2: A spatially and temporally en... 1993 2026 2004 2015 2012 1993 2008 2009 200 400 600

Peers

Gerhard Weikum
Comparison fields: 5 of 149
  • Artificial Intelligence 7.9k
  • Computer Networks and Communications 4.9k
  • Information Systems 4.0k
  • Signal Processing 2.2k
  • Computer Vision and Pattern Recognition 1.4k
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Citations per field, relative to Gerhard Weikum
Gerhard Weikum · 1×
Citations per year, relative to Gerhard Weikum
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Countries citing papers authored by Gerhard Weikum

Since Specialization
Citations

This map shows the geographic impact of Gerhard Weikum'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 Gerhard Weikum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerhard Weikum more than expected).

Fields of papers citing papers by Gerhard Weikum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerhard Weikum. 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 Gerhard Weikum. The network helps show where Gerhard Weikum may publish in the future.

Co-authorship network of co-authors of Gerhard Weikum

This figure shows the co-authorship network connecting the top 25 collaborators of Gerhard Weikum. A scholar is included among the top collaborators of Gerhard Weikum 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 Gerhard Weikum. Gerhard Weikum is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 1
3 2
4 0
5 0
6 14
7 0
8 10
9 8
10
YAGO2: a spatially and temporally enhanced knowledge base from wikipedia (extended abstract)
12
11
UWN: A Large Multilingual Lexical Knowledge Base
6
12
PATTY: A Taxonomy of Relational Patterns with Semantic Types
215
13
FluxCapacitor: Efficient Time-Travel Text Search
11
14
Efficient Time-Travel on Versioned Text Collections
4
15
P2P Content Search: Give the Web Back to the People
21
16 1
17
Integrating DB and IR Technologies: What is the Sound of One Hand Clapping?
66
18
A Log-Structured History Data Access Method (LHAM).
7
19
Multi-level transactions and open nested transactions
17
20 4

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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