Joanna Biega

549 total citations
5 papers, 165 citations indexed

About

Joanna Biega is a scholar working on Artificial Intelligence, Management Science and Operations Research and Sociology and Political Science. According to data from OpenAlex, Joanna Biega has authored 5 papers receiving a total of 165 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Management Science and Operations Research and 1 paper in Sociology and Political Science. Recurrent topics in Joanna Biega's work include Natural Language Processing Techniques (3 papers), Data Quality and Management (2 papers) and Privacy-Preserving Technologies in Data (2 papers). Joanna Biega is often cited by papers focused on Natural Language Processing Techniques (3 papers), Data Quality and Management (2 papers) and Privacy-Preserving Technologies in Data (2 papers). Joanna Biega collaborates with scholars based in Germany, Switzerland and Greece. Joanna Biega's co-authors include Fabian M. Suchanek, Erdal Kuzey, Ida Mele, Gerhard Weikum, Krishna P. Gummadi and Christos Tryfonopoulos and has published in prestigious journals such as Max Planck Digital Library.

In The Last Decade

Joanna Biega

5 papers receiving 159 citations

Peers

Joanna Biega

AI

IS

MSOR

CVPR

SPS

Makbule Gülçin Özsoy Türkiye

Kuldeep Singh Germany

Matthias Broecheler United States

Francesco Corcoglioniti Italy

Paramita Mirza Germany

Mehdi Allahyari United States

Stijn De Saeger Japan

Juan Cigarrán Spain

Francesco Piccinno Italy

Nicholas Andrews United States

Makbule Gülçin Özsoy Türkiye

Joanna Biega

174 ×1.2

AI

73 ×2.4

IS

21 ×0.7

MSOR

12 ×0.6

CVPR

12 ×0.6

SPS

Citations per year, relative to Joanna Biega Joanna Biega (= 1×) peers Makbule Gülçin Özsoy

Countries citing papers authored by Joanna Biega

Since Specialization

Citations

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

Fields of papers citing papers by Joanna Biega

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joanna Biega

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

All Works

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5 of 5 papers shown

1.

Biega, Joanna, et al.. (2016). R-Susceptibility. 365–374. 11 indexed citations

2.

Biega, Joanna, et al.. (2014). YAGO3: A Knowledge Base from Multilingual Wikipedias. Max Planck Digital Library. 92 indexed citations

3.

Biega, Joanna, Ida Mele, & Gerhard Weikum. (2014). Probabilistic Prediction of Privacy Risks in User Search Histories. 29–36. 9 indexed citations

4.

Biega, Joanna, et al.. (2013). Mining history with Le Monde. 49–54. 18 indexed citations

5.

Biega, Joanna, Erdal Kuzey, & Fabian M. Suchanek. (2013). Inside YAGO2s. 325–328. 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.

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