Daniel Bär

440 total citations
9 papers, 242 citations indexed

About

Daniel Bär is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Daniel Bär has authored 9 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 2 papers in Statistical and Nonlinear Physics and 2 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Daniel Bär's work include Topic Modeling (6 papers), Advanced Text Analysis Techniques (4 papers) and Natural Language Processing Techniques (4 papers). Daniel Bär is often cited by papers focused on Topic Modeling (6 papers), Advanced Text Analysis Techniques (4 papers) and Natural Language Processing Techniques (4 papers). Daniel Bär collaborates with scholars based in Germany and Israel. Daniel Bär's co-authors include Iryna Gurevych, Torsten Zesch and Chris Biemann and has published in prestigious journals such as International Journal of Theoretical Physics, NeuroQuantology and Ingénierie des systèmes d information.

In The Last Decade

Daniel Bär

7 papers receiving 208 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Bär Germany	5	225	23	21	20	8	9	242
Roberto Zanoli Italy	9	250 1.1×	40 1.7×	19 0.9×	40 2.0×	13 1.6×	21	288
Kalliopi Zervanou Netherlands	8	163 0.7×	35 1.5×	16 0.8×	34 1.7×	13 1.6×	31	209
Anders Johannsen Denmark	11	363 1.6×	15 0.7×	20 1.0×	28 1.4×	13 1.6×	26	391
Shehzaad Dhuliawala United States	6	155 0.7×	9 0.4×	28 1.3×	24 1.2×	8 1.0×	14	192
Lili Kotlerman Israel	8	214 1.0×	24 1.0×	15 0.7×	23 1.1×	7 0.9×	15	226
Ulli Waltinger Germany	10	226 1.0×	17 0.7×	25 1.2×	35 1.8×	16 2.0×	30	267
Niraj Aswani United Kingdom	6	149 0.7×	26 1.1×	14 0.7×	40 2.0×	11 1.4×	9	188
Ignacio Iacobacci United Kingdom	6	376 1.7×	25 1.1×	30 1.4×	13 0.7×	5 0.6×	18	391
Oi Yee Kwong Hong Kong	7	233 1.0×	14 0.6×	14 0.7×	36 1.8×	7 0.9×	53	262
Alessio Palmero Aprosio Italy	7	169 0.8×	18 0.8×	16 0.8×	23 1.1×	5 0.6×	25	187

Countries citing papers authored by Daniel Bär

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Bär

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Bär

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Bär, Daniel, et al.. (2015). Composing Measures for Computing Text Similarity. TUbilio (Technical University of Darmstadt). 9 indexed citations

2.

Bär, Daniel, Torsten Zesch, & Iryna Gurevych. (2013). DKPro Similarity: An Open Source Framework for Text Similarity. TUbilio (Technical University of Darmstadt). 121–126. 43 indexed citations

3.

Bär, Daniel, Chris Biemann, Iryna Gurevych, & Torsten Zesch. (2012). UKP: Computing Semantic Textual Similarity by Combining Multiple Content Similarity Measures. TUbilio (Technical University of Darmstadt). 1. 435–440. 139 indexed citations

4.

Bär, Daniel, Torsten Zesch, & Iryna Gurevych. (2012). Text Reuse Detection Using a Composition of Text Similarity Measures. TUbilio (Technical University of Darmstadt). 167–184. 31 indexed citations

5.

Bär, Daniel, et al.. (2011). First Aid for Information Chaos in Wikis - Collaborative Information Management Enhanced Through Language Technology.. Ingénierie des systèmes d information. 501–502.

6.

Bär, Daniel, et al.. (2011). Wikulu: An Extensible Architecture for Integrating Natural Language Processing Techniques with Wikis. TUbilio (Technical University of Darmstadt). 74–79. 2 indexed citations

7.

Bär, Daniel, Torsten Zesch, & Iryna Gurevych. (2011). A Reflective View on Text Similarity. TUbilio (Technical University of Darmstadt). 515–520. 16 indexed citations

8.

Bär, Daniel. (2009). Gravitational Brainwaves, Quantum Fluctuations and Stochastic Quantization-II. NeuroQuantology. 7(2). 1 indexed citations

9.

Bär, Daniel. (2003). Quantum Field Theory and Dense Measurement. International Journal of Theoretical Physics. 42(3). 443–463. 1 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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