Julian Hitschler

483 total citations
7 papers, 256 citations indexed

About

Julian Hitschler is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Language and Linguistics. According to data from OpenAlex, Julian Hitschler has authored 7 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Language and Linguistics. Recurrent topics in Julian Hitschler's work include Natural Language Processing Techniques (6 papers), Topic Modeling (5 papers) and Multimodal Machine Learning Applications (2 papers). Julian Hitschler is often cited by papers focused on Natural Language Processing Techniques (6 papers), Topic Modeling (5 papers) and Multimodal Machine Learning Applications (2 papers). Julian Hitschler collaborates with scholars based in Germany, United States and Switzerland. Julian Hitschler's co-authors include Stefan Riezler, Alexandra Birch, Antonio Valerio Miceli Barone, Barry Haddow, Samuel Läubli, Orhan Fırat, Rico Sennrich, Kyunghyun Cho, Maria Nădejde and Marcin Junczys-Dowmunt and has published in prestigious journals such as SHILAP Revista de lepidopterología, Language Resources and Evaluation and Edinburgh Research Explorer (University of Edinburgh).

In The Last Decade

Julian Hitschler

7 papers receiving 232 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Julian Hitschler Germany	4	239	108	21	9	7	7	256
Shamil Chollampatt Singapore	9	340 1.4×	52 0.5×	29 1.4×	8 0.9×	5 0.7×	11	361
Jindřich Helcl Czechia	9	282 1.2×	126 1.2×	12 0.6×	11 1.2×	10 1.4×	16	304
Hiroshi Noji Japan	8	199 0.8×	37 0.3×	22 1.0×	17 1.9×	6 0.9×	23	214
Shuailiang Zhang China	3	242 1.0×	79 0.7×	20 1.0×	11 1.2×	3 0.4×	3	264
Felix Stahlberg United Kingdom	10	262 1.1×	75 0.7×	14 0.7×	3 0.3×	16 2.3×	29	284
Stephan Peitz Germany	11	342 1.4×	67 0.6×	11 0.5×	12 1.3×	10 1.4×	28	347
Qingsong Ma China	6	231 1.0×	65 0.6×	28 1.3×	6 0.7×	4 0.6×	10	237
Chulun Zhou China	9	163 0.7×	61 0.6×	22 1.0×	4 0.4×	7 1.0×	17	185
Mingbo Ma United States	11	269 1.1×	89 0.8×	16 0.8×	16 1.8×	12 1.7×	22	286
Sarguna Janani Padmanabhan United States	2	133 0.6×	60 0.6×	12 0.6×	4 0.4×	7 1.0×	2	148

Countries citing papers authored by Julian Hitschler

Since Specialization

Citations

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

Fields of papers citing papers by Julian Hitschler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julian Hitschler

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

All Works

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7 of 7 papers shown

1.

Hitschler, Julian, et al.. (2018). A Dataset and Reranking Method for Multimodal MT of User-Generated Image Captions. Conference of the Association for Machine Translation in the Americas. 140–153. 4 indexed citations

2.

Năstase, Vivi & Julian Hitschler. (2018). Correction of OCR Word Segmentation Errors in Articles from the ACL Collection through Neural Machine Translation Methods. Language Resources and Evaluation. 3 indexed citations

3.

Hitschler, Julian, Esther van den Berg, & Ines Rehbein. (2017). Authorship Attribution with Convolutional Neural Networks and POS-Eliding. Publication Server of the Institute for German Language (Institute for German Language). 28 indexed citations

4.

Sennrich, Rico, Orhan Fırat, Kyunghyun Cho, et al.. (2017). Nematus: a Toolkit for Neural Machine Translation. Edinburgh Research Explorer (University of Edinburgh). 65–68. 167 indexed citations

5.

Hitschler, Julian, et al.. (2016). Multimodal Pivots for Image Caption Translation. arXiv (Cornell University). 2399–2409. 49 indexed citations

6.

Hitschler, Julian, et al.. (2016). Otedama: Fast Rule-Based Pre-Ordering for Machine Translation. SHILAP Revista de lepidopterología. 106(1). 159–168. 3 indexed citations

7.

Hitschler, Julian, et al.. (2015). The Heidelberg University English-German translation system for IWSLT 2015. 2 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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