Sandra Kuebler

489 total citations
11 papers, 284 citations indexed

About

Sandra Kuebler is a scholar working on Artificial Intelligence, Sociology and Political Science and Information Systems. According to data from OpenAlex, Sandra Kuebler has authored 11 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 2 papers in Sociology and Political Science and 2 papers in Information Systems. Recurrent topics in Sandra Kuebler's work include Natural Language Processing Techniques (7 papers), Topic Modeling (6 papers) and Hate Speech and Cyberbullying Detection (3 papers). Sandra Kuebler is often cited by papers focused on Natural Language Processing Techniques (7 papers), Topic Modeling (6 papers) and Hate Speech and Cyberbullying Detection (3 papers). Sandra Kuebler collaborates with scholars based in United States, Sweden and France. Sandra Kuebler's co-authors include Mona Diab, Muhammad Abdul-Mageed, Reut Tsarfaty, Heike Zinsmeister, Djamé Seddah, Joakim Nivre, Jennifer Foster, Marie Candito, Yoav Goldberg and Ines Rehbein and has published in prestigious journals such as Scientific Reports, Computational Linguistics and Meeting of the Association for Computational Linguistics.

In The Last Decade

Sandra Kuebler

9 papers receiving 268 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sandra Kuebler United States	6	222	52	34	16	16	11	284
Delia Irazú Hernández Farías Spain	9	311 1.4×	52 1.0×	51 1.5×	3 0.2×	6 0.4×	16	359
Reid Swanson United States	9	273 1.2×	51 1.0×	39 1.1×	16 1.0×	2 0.1×	23	350
Ioan-Iovitz Popescu Romania	10	153 0.7×	24 0.5×	28 0.8×	17 1.1×	48 3.0×	37	272
Shu‐Kai Hsieh Taiwan	7	184 0.8×	12 0.2×	18 0.5×	8 0.5×	32 2.0×	52	237
Simone Conia Italy	10	270 1.2×	18 0.3×	14 0.4×	12 0.8×	13 0.8×	25	352
Suguru Matsuyoshi Japan	10	235 1.1×	20 0.4×	54 1.6×	4 0.3×	10 0.6×	33	268
Anna Gladkova Japan	7	222 1.0×	16 0.3×	11 0.3×	7 0.4×	34 2.1×	9	291
Felix Bildhauer Germany	6	213 1.0×	13 0.3×	41 1.2×	27 1.7×	66 4.1×	15	282
Mirko Lai Italy	10	138 0.6×	66 1.3×	33 1.0×	5 0.3×	4 0.3×	17	234
Flor Miriam Plaza-del-Arco Spain	10	361 1.6×	28 0.5×	70 2.1×	7 0.4×	5 0.3×	34	397

Countries citing papers authored by Sandra Kuebler

Since Specialization

Citations

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

Fields of papers citing papers by Sandra Kuebler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sandra Kuebler

This figure shows the co-authorship network connecting the top 25 collaborators of Sandra Kuebler. A scholar is included among the top collaborators of Sandra Kuebler 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 Sandra Kuebler. Sandra Kuebler 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:

11 of 11 papers shown

1.

Camp, L. Jean, et al.. (2023). An Argument for Linguistic Expertise in Cyberthreat Analysis: LOLSec in Russian Language eCrime Landscape. 2 indexed citations

2.

Kuebler, Sandra, et al.. (2023). Native Language Identification with Cross-Corpus Evaluation Using Social Media Data: 'Reddit'. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

3.

Uscinski, Joseph E., Adam Enders, Amanda B. Diekman, et al.. (2022). The psychological and political correlates of conspiracy theory beliefs. Scientific Reports. 12(1). 21672–21672. 49 indexed citations

4.

Hu, Hai, et al.. (2020). Building a Treebank for Chinese Literature for Translation Studies. 18–30.

5.

Kuebler, Sandra & Heike Zinsmeister. (2014). Corpus Linguistics and Linguistically Annotated Corpora. Bloomsbury Academic eBooks. 26 indexed citations

6.

Khan, Mohammad Abid, Markus Dickinson, & Sandra Kuebler. (2013). Does Size Matter? Text and Grammar Revision for Parsing Social Media Data. 1–10. 9 indexed citations

7.

Abdul-Mageed, Muhammad, Sandra Kuebler, & Mona Diab. (2012). SAMAR: A System for Subjectivity and Sentiment Analysis of Arabic Social Media. Meeting of the Association for Computational Linguistics. 19–28. 76 indexed citations

8.

Kuebler, Sandra & Paul Rodrigues. (2012). Processing highly variant language using incremental model selection. 34(9). 1301–4. 5 indexed citations

9.

Tsarfaty, Reut, Djamé Seddah, Sandra Kuebler, & Joakim Nivre. (2012). Parsing Morphologically Rich Languages: Introduction to the Special Issue. Computational Linguistics. 39(1). 15–22. 46 indexed citations

10.

Tsarfaty, Reut, Yoav Goldberg, Sandra Kuebler, et al.. (2010). Statistical Parsing of Morphologically Rich Languages (SPMRL) What, How and Whither. Arrow@dit (Dublin Institute of Technology). 1–12. 67 indexed citations

11.

Kuebler, Sandra, et al.. (2010). Orthographic enrichment for arabic grammatical analysis. 253–253. 3 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.

Explore authors with similar magnitude of impact