Julian Risch

742 total citations
26 papers, 339 citations indexed

About

Julian Risch is a scholar working on Artificial Intelligence, Information Systems and Management of Technology and Innovation. According to data from OpenAlex, Julian Risch has authored 26 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 7 papers in Information Systems and 3 papers in Management of Technology and Innovation. Recurrent topics in Julian Risch's work include Topic Modeling (11 papers), Hate Speech and Cyberbullying Detection (10 papers) and Natural Language Processing Techniques (4 papers). Julian Risch is often cited by papers focused on Topic Modeling (11 papers), Hate Speech and Cyberbullying Detection (10 papers) and Natural Language Processing Techniques (4 papers). Julian Risch collaborates with scholars based in Germany and United Kingdom. Julian Risch's co-authors include Ralf Krestel, Anke Stoll, Marc Ziegele, Michael Wiegand, Johannes Frohnhofen, Georg Wiese, Sebastian Kruse, Thorsten Papenbrock, Felix Naumann and Philipp Beerbaum and has published in prestigious journals such as Journal of Cardiovascular Magnetic Resonance, World Patent Information and Data Technologies and Applications.

In The Last Decade

Julian Risch

25 papers receiving 305 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Julian Risch Germany	11	214	87	50	28	24	26	339
Hidetsugu Nanba Japan	14	393 1.8×	39 0.4×	128 2.6×	12 0.4×	4 0.2×	53	509
Seung‐Hoon Na South Korea	11	385 1.8×	28 0.3×	115 2.3×	6 0.2×	5 0.2×	64	573
Guancan Yang China	8	73 0.3×	95 1.1×	33 0.7×	25 0.9×		16	270
Sanhong Deng China	10	71 0.3×	18 0.2×	54 1.1×	2 0.1×	8 0.3×	43	249
Yonghe Lu China	7	176 0.8×	24 0.3×	80 1.6×	9 0.3×	1 0.0×	25	283
Paul Warren United Kingdom	9	87 0.4×	10 0.1×	115 2.3×	7 0.3×	5 0.2×	29	243
Mark E Neumann United States	6	698 3.3×	5 0.1×	69 1.4×	11 0.4×	14 0.6×	29	858
Rongying Zhao China	9	45 0.2×	12 0.1×	57 1.1×	4 0.1×	3 0.1×	36	266
P.E. van der Vet Netherlands	9	128 0.6×	6 0.1×	94 1.9×	9 0.3×	7 0.3×	41	282
Mubashir Imran Saudi Arabia	6	169 0.8×	7 0.1×	96 1.9×	3 0.1×	5 0.2×	10	318

Countries citing papers authored by Julian Risch

Since Specialization

Citations

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

Fields of papers citing papers by Julian Risch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julian Risch

This figure shows the co-authorship network connecting the top 25 collaborators of Julian Risch. A scholar is included among the top collaborators of Julian Risch 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 Risch. Julian Risch 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

1.

Hamborg, Felix, et al.. (2023). Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs. 1–11. 2 indexed citations

2.

Krestel, Ralf, et al.. (2021). A survey on deep learning for patent analysis. World Patent Information. 65. 102035–102035. 75 indexed citations

3.

Risch, Julian, et al.. (2021). ComEx: Comment Exploration on Online News Platforms.. 1 indexed citations

4.

Krupičková, Sylvia, Julian Risch, Sabiha Gati, et al.. (2021). Cardiovascular magnetic resonance normal values in children for biventricular wall thickness and mass. Journal of Cardiovascular Magnetic Resonance. 23(1). 1–1. 15 indexed citations

5.

Risch, Julian. (2021). Reader comment analysis on online news platforms. publish.UP (University of Potsdam). 1 indexed citations

6.

Risch, Julian, et al.. (2021). Overview of the GermEval 2021 Shared Task on the Identification of Toxic, Engaging, and Fact-Claiming Comments. 1–12. 16 indexed citations

7.

Risch, Julian, et al.. (2021). GermanQuAD and GermanDPR: Improving Non-English Question Answering and Passage Retrieval. 42–50. 13 indexed citations

8.

Risch, Julian, Philipp Hager, & Ralf Krestel. (2021). Multifaceted Domain-Specific Document Embeddings. 78–83. 1 indexed citations

9.

Risch, Julian & Ralf Krestel. (2020). Top Comment or Flop Comment? Predicting and Explaining User Engagement in Online News Discussions. arXiv (Cornell University). 14. 579–589.

10.

Risch, Julian, et al.. (2020). Hierarchical Document Classification as a Sequence Generation Task. 147–155. 10 indexed citations

11.

Risch, Julian, et al.. (2020). Offensive Language Detection Explained. 137–143. 10 indexed citations

12.

Risch, Julian & Ralf Krestel. (2020). Top Comment or Flop Comment? Predicting and Explaining User Engagement in Online News Discussions. Proceedings of the International AAAI Conference on Web and Social Media. 14. 579–589. 12 indexed citations

13.

Risch, Julian & Ralf Krestel. (2020). Bagging BERT Models for Robust Aggression Identification. 55–61. 27 indexed citations

14.

Risch, Julian, Anke Stoll, Marc Ziegele, & Ralf Krestel. (2019). hpiDEDIS at GermEval 2019: Offensive Language Identification using a German BERT model.. 14 indexed citations

15.

Risch, Julian & Ralf Krestel. (2019). Measuring and Facilitating Data Repeatability in Web Science. Datenbank-Spektrum. 19(2). 117–126. 4 indexed citations

16.

Risch, Julian & Ralf Krestel. (2018). Aggression Identification Using Deep Learning and Data Augmentation. International Conference on Computational Linguistics. 150–158. 30 indexed citations

17.

Risch, Julian & Ralf Krestel. (2018). Learning Patent Speak: Investigating Domain-Specific Word Embeddings. 63–68. 9 indexed citations

18.

Risch, Julian & Ralf Krestel. (2018). Delete or not Delete? Semi-Automatic Comment Moderation for the Newsroom. International Conference on Computational Linguistics. 166–176. 13 indexed citations

19.

Risch, Julian, et al.. (2018). Prediction for the Newsroom: Which Articles Will Get the Most Comments?. 193–199. 5 indexed citations

20.

Frohnhofen, Johannes, Julian Risch, Georg Wiese, et al.. (2016). Approximate Discovery of Functional Dependencies for Large Datasets. 1803–1812. 19 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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