Claudia Niederée

1.2k total citations
57 papers, 594 citations indexed

About

Claudia Niederée is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Claudia Niederée has authored 57 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 25 papers in Information Systems and 15 papers in Computer Networks and Communications. Recurrent topics in Claudia Niederée's work include Web Data Mining and Analysis (14 papers), Data Quality and Management (14 papers) and Advanced Database Systems and Queries (13 papers). Claudia Niederée is often cited by papers focused on Web Data Mining and Analysis (14 papers), Data Quality and Management (14 papers) and Advanced Database Systems and Queries (13 papers). Claudia Niederée collaborates with scholars based in Germany, Greece and Italy. Claudia Niederée's co-authors include Ekaterini Ioannou, Wolfgang Nejdl, George Papadakis, Themis Palpanas, Nattiya Kanhabua, Nam Khanh Tran, Péter Fankhauser, Yannis Velegrakis, Paolo Bouquet and Heiko Stoermer and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Proceedings of the VLDB Endowment and ACM SIGMOD Record.

In The Last Decade

Claudia Niederée

53 papers receiving 563 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Claudia Niederée Germany	13	374	314	270	130	71	57	594
L. Venkata Subramaniam India	15	460 1.2×	54 0.2×	226 0.8×	84 0.6×	52 0.7×	60	711
Yasin N. Silva United States	17	296 0.8×	99 0.3×	200 0.7×	241 1.9×	63 0.9×	42	635
Stephen Dill United States	9	384 1.0×	84 0.3×	383 1.4×	154 1.2×	38 0.5×	15	623
Amin Mantrach Spain	11	285 0.8×	65 0.2×	239 0.9×	41 0.3×	98 1.4×	19	545
Nattiya Kanhabua Germany	15	301 0.8×	35 0.1×	201 0.7×	32 0.2×	76 1.1×	44	493
David Ahn United States	11	676 1.8×	58 0.2×	193 0.7×	39 0.3×	52 0.7×	15	814
Mary Elaine Califf United States	10	572 1.5×	71 0.2×	340 1.3×	98 0.8×	27 0.4×	20	766
Víctor Fresno Spain	13	415 1.1×	49 0.2×	204 0.8×	43 0.3×	53 0.7×	62	600
Dan Liebling United States	6	354 0.9×	34 0.1×	349 1.3×	43 0.3×	59 0.8×	9	683
Avishek Anand Germany	15	482 1.3×	58 0.2×	163 0.6×	83 0.6×	114 1.6×	68	651

Countries citing papers authored by Claudia Niederée

Since Specialization

Citations

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

Fields of papers citing papers by Claudia Niederée

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudia Niederée

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

All Works

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20 of 20 papers shown

Dilger, Klaus, et al.. (2025). Data-Driven Prediction of Casting Defects in Magnesium High-Pressure Die Casting Using Machine Learning. International Journal of Metalcasting. 20(1). 112–131. 2 indexed citations

Niederée, Claudia, et al.. (2023). Bridging Qualitative Data Silos: The Potential of Reusing Codings Through Machine Learning Based Cross-Study Code Linking. Social Science Computer Review. 42(3). 760–776. 1 indexed citations

Eichelberger, Holger & Claudia Niederée. (2023). Asset Administration Shells, Configuration, Code Generation: A power trio for Industry 4.0 Platforms. 43. 1–8. 2 indexed citations

Tran, Nam Khanh & Claudia Niederée. (2018). A Neural Network-based Framework for Non-factoid Question Answering. 1979–1983. 4 indexed citations

Solachidis, V., et al.. (2017). Expo. 452–456. 2 indexed citations

Eichelberger, Holger, Cui Qin, Klaus Schmid, & Claudia Niederée. (2015). Adaptive Application Performance Management for Big Data Stream Processing.. Softwaretechnik-Trends. 35. 6 indexed citations

Solachidis, V., et al.. (2015). Investigating human behaviors in selecting personal photos to preserve memories. 1–6. 6 indexed citations

Kanhabua, Nattiya, et al.. (2015). A Time-aware Random Walk Model for Finding Important Documents in Web Archives. 915–918. 4 indexed citations

Solachidis, V., et al.. (2015). To Keep or not to Keep. 187–194. 16 indexed citations

10.

Kawase, Ricardo, et al.. (2014). Characterizing high-impact features for content retention in social web applications. 559–560. 3 indexed citations

11.

Kanhabua, Nattiya, Claudia Niederée, & Wolf Siberski. (2013). Towards Concise Preservation by Managed Forgetting: Challenges and Opportunities.. iPRES. 4 indexed citations

12.

Papadakis, George, Ekaterini Ioannou, Claudia Niederée, Themis Palpanas, & Wolfgang Nejdl. (2012). Beyond 100 million entities. Institutional Research Information System (Università degli Studi di Trento). 53–62. 36 indexed citations

13.

Papadakis, George, George Giannakopoulos, Claudia Niederée, Themis Palpanas, & Wolfgang Nejdl. (2011). Detecting and exploiting stability in evolving heterogeneous information spaces. DSpace - NTUA (National Technical University of Athens). 95–104. 8 indexed citations

14.

Papadakis, George, Ekaterini Ioannou, Claudia Niederée, & Péter Fankhauser. (2011). Efficient entity resolution for large heterogeneous information spaces. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 535–544. 60 indexed citations

15.

Ioannou, Ekaterini, Saket Sathe, Nicolas Bonvin, et al.. (2009). Entity Search with NECESSITY. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 3 indexed citations

16.

Demartini, Gianluca & Claudia Niederée. (2008). Finding experts on the semantic desktop. Queensland's institutional digital repository (The University of Queensland). 403. 19–30. 2 indexed citations

17.

Niederée, Claudia, et al.. (2007). Sub-Ontology Discovery for Adaptive Re-use. Institutional Research Information System (Università degli Studi di Trento). 1 indexed citations

18.

Hemmje, Matthias, Claudia Niederée, & Thomas Risse. (2005). From integrated publication and information systems to virtual information and knowledge environments : essays dedicated to Erich J. Neuhold on the occasion of his 65th birthday. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 2 indexed citations

19.

Hemmje, Matthias, Claudia Niederée, & Thomas Risse. (2005). From Integrated Publication and Information Systems to Information and Knowledge Environments: Essays Dedicated to Erich J. Neuhold on the Occasion o ... Birthday (Lecture Notes in Computer Science). Springer eBooks. 1 indexed citations

20.

Niederée, Claudia, et al.. (2004). Digital libraries in knowledge management: an e-learning case study. International Journal on Digital Libraries. 4(1). 31–35. 8 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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