Julian Risch

796 citations
35 papers · 556 · h-index 13

Impact in

Papers in

    • Topic Modeling 15
    • Hate Speech and Cyberbullying Detection 11
    • Natural Language Processing Techniques 7
    • Advanced Text Analysis Techniques 4
    • Adversarial Robustness in Machine Learning 2
    • Software Engineering Research 2

Julian Risch

33 papers receiving 510 citations

Peers

Julian Risch
Comparison fields: 5 of 68
  • Management of Technology and Innovation 102
  • Artificial Intelligence 387
  • Communication 41
  • Information Systems 107
  • Signal Processing 42
Replace Keke Cai with:
Keke Cai China
Jil Ann‐Christin Klünder Germany
Seung‐Hoon Na South Korea
Luis Terán Switzerland
Shuhua Monica Liu China
Peter Hofmann Germany
Stephen R. Poteet United States
Diego Ceccarelli Italy
Ashraf Uddin India
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Julian Risch, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Julian Risch Line = papers co-authored together Julian Risch links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202192
2 201948
3 202044
4
Aggression Identification Using Deep Learning and Data Augmentation
201841
5 202138
6 201836
7
Bagging BERT Models for Robust Aggression Identification
202031
8 202124
9 201622
10
Overview of the GermEval 2021 Shared Task on the Identification of Toxic, Engaging, and Fact-Claiming Comments
202119
11 202118
12
Delete or not Delete? Semi-Automatic Comment Moderation for the Newsroom
201816
13
hpiDEDIS at GermEval 2019: Offensive Language Identification using a German BERT model.
201916
14 202013
15 202012
16 202111
17
Offensive Language Detection Explained
202011
18 20189
19 20187
20 20186

About Julian Risch

Julian Risch is a scholar working on Artificial Intelligence, Information Systems, Management of Technology and Innovation, General Social Sciences and Signal Processing, having authored 35 papers that have together received 556 indexed citations. Recurring topics across this work include Topic Modeling (15 papers), Hate Speech and Cyberbullying Detection (11 papers), Natural Language Processing Techniques (7 papers), Advanced Text Analysis Techniques (4 papers), Intellectual Property and Patents (3 papers), Biomedical Text Mining and Ontologies (2 papers), Adversarial Robustness in Machine Learning (2 papers) and Software Engineering Research (2 papers). The work is most often cited by research in Management of Technology and Innovation (102 citations), Artificial Intelligence (387 citations), Communication (41 citations), Information Systems (107 citations) and Signal Processing (42 citations). Julian Risch has collaborated with scholars based in Germany and United Kingdom. Frequent co-authors include Ralf Krestel, Anke Stoll, Alexander Löser, Betty van Aken, Michael Wiegand, Samuele Garda, Marc Ziegele, Johannes Frohnhofen, Felix Naumann and Sebastian Kruse. Their work appears in journals such as Data Technologies and Applications, Journal of Cardiovascular Magnetic Resonance, World Journal of Urology, World Patent Information and Lecture notes in computer science.

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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