Eva Schlinger

1.4k total citations
5 papers, 104 citations indexed

About

Eva Schlinger is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Language and Linguistics. According to data from OpenAlex, Eva Schlinger has authored 5 papers receiving a total of 104 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Language and Linguistics. Recurrent topics in Eva Schlinger's work include Natural Language Processing Techniques (5 papers), Topic Modeling (5 papers) and Translation Studies and Practices (1 paper). Eva Schlinger is often cited by papers focused on Natural Language Processing Techniques (5 papers), Topic Modeling (5 papers) and Translation Studies and Practices (1 paper). Eva Schlinger collaborates with scholars based in United States. Eva Schlinger's co-authors include Chris Dyer, Victor Chahuneau, Ming‐Wei Chang, Noah A. Smith, Wenhu Chen, William W. Cohen, William Yang Wang, Waleed Ammar, Archna Bhatia and Swabha Swayamdipta and has published in prestigious journals such as Figshare, International Conference on Learning Representations and ˜The œPrague Bulletin of Mathematical Linguistics.

In The Last Decade

Eva Schlinger

4 papers receiving 95 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eva Schlinger United States 4 102 31 7 6 6 5 104
Qijun Tan United States 4 160 1.6× 34 1.1× 3 0.4× 5 0.8× 22 3.7× 5 174
Clara I. Cabezas United States 2 253 2.5× 27 0.9× 4 0.6× 10 1.7× 10 1.7× 4 255
Anwen Hu China 7 82 0.8× 83 2.7× 3 0.4× 4 0.7× 7 1.2× 17 143
Stephen Mussmann United States 5 84 0.8× 24 0.8× 5 0.7× 5 0.8× 10 1.7× 10 93
Liane Guillou United Kingdom 9 229 2.2× 19 0.6× 3 0.4× 5 0.8× 10 1.7× 18 240
Nora Kassner Germany 3 116 1.1× 39 1.3× 5 0.7× 4 0.7× 7 1.2× 10 132
Itsumi Saito Japan 6 93 0.9× 27 0.9× 4 0.6× 4 0.7× 8 1.3× 14 102
Sida I. Wang United States 6 179 1.8× 53 1.7× 9 1.3× 3 0.5× 18 3.0× 8 183
Marco Damonte United Kingdom 6 186 1.8× 34 1.1× 2 0.3× 16 2.7× 4 0.7× 13 190

Countries citing papers authored by Eva Schlinger

Since Specialization
Citations

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

Fields of papers citing papers by Eva Schlinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Schlinger

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

All Works

5 of 5 papers shown
1.
Chen, Wenhu, Ming‐Wei Chang, Eva Schlinger, William Yang Wang, & William W. Cohen. (2021). Open Question Answering over Tables and Text. International Conference on Learning Representations. 49 indexed citations
2.
Matthews, Austin, Eva Schlinger, Alon Lavie, & Chris Dyer. (2016). Synthesizing Compound Words for Machine Translation. 1085–1094. 1 indexed citations
3.
Matthews, Austin, Waleed Ammar, Archna Bhatia, et al.. (2014). The CMU Machine Translation Systems at WMT 2014. 142–149. 10 indexed citations
4.
Chahuneau, Victor, Eva Schlinger, Noah A. Smith, & Chris Dyer. (2013). Translating into Morphologically Rich Languages with Synthetic Phrases. Figshare. 1677–1687. 41 indexed citations
5.
Schlinger, Eva, Victor Chahuneau, & Chris Dyer. (2013). morphogen: Translation into Morphologically Rich Languages with Synthetic Phrases. ˜The œPrague Bulletin of Mathematical Linguistics. 100(1). 51–62. 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.

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