Julian Risch

768 citations
31 papers · 436 · h-index 12

Impact in

Papers in

    • Topic Modeling 13
    • Hate Speech and Cyberbullying Detection 11
    • Natural Language Processing Techniques 5
    • Advanced Text Analysis Techniques 3
    • Sentiment Analysis and Opinion Mining 2
    • Software Engineering Research 2
    • Spam and Phishing Detection 2

Julian Risch

30 papers receiving 398 citations

Peers

Julian Risch
Comparison fields: 5 of 66
  • Management of Technology and Innovation 95
  • Artificial Intelligence 289
  • Communication 30
  • Information Systems 82
  • Signal Processing 31
Replace Seung‐Hoon Na with:
Seung‐Hoon Na South Korea
Jil Klünder Germany
Paul Warren United Kingdom
Peter Hofmann Germany
Kamal Eddine El Kadiri Morocco
Ashraf Uddin India
Yonghe Lu China
Peter Mutschke Germany
Raimund L. Feldmann Germany
Julian Risch relative to Seung‐Hoon Na South Korea Seung‐Hoon Na's profile →
Citations per field
00.5×3.8×
Seung‐Hoon Na · 1×
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 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202184
2 201949
3 202043
4
Aggression Identification Using Deep Learning and Data Augmentation
201839
5
Bagging BERT Models for Robust Aggression Identification
202029
6 201620
7
Overview of the GermEval 2021 Shared Task on the Identification of Toxic, Engaging, and Fact-Claiming Comments
202119
8 202119
9 202116
10
hpiDEDIS at GermEval 2019: Offensive Language Identification using a German BERT model.
201915
11
Delete or not Delete? Semi-Automatic Comment Moderation for the Newsroom
201815
12 202012
13 202011
14
Offensive Language Detection Explained
202010
15 20189
16 20187
17 20156
18 20195
19 20205
20 20215

About Julian Risch

Julian Risch is a scholar working on Artificial Intelligence, Information Systems, Molecular Biology, Management of Technology and Innovation and Sociology and Political Science, having authored 31 papers that have together received 436 indexed citations. Recurring topics across this work include Topic Modeling (13 papers), Hate Speech and Cyberbullying Detection (11 papers), Natural Language Processing Techniques (5 papers), Intellectual Property and Patents (3 papers), Advanced Text Analysis Techniques (3 papers), Software Engineering Research (2 papers), Sentiment Analysis and Opinion Mining (2 papers) and Spam and Phishing Detection (2 papers). The work is most often cited by research in Management of Technology and Innovation (95 citations), Artificial Intelligence (289 citations), Communication (30 citations), Information Systems (82 citations) and Signal Processing (31 citations). Julian Risch has collaborated with scholars based in Germany and United Kingdom. Frequent co-authors include Ralf Krestel, Anke Stoll, Michael Wiegand, Marc Ziegele, Felix Naumann, Sebastian Kruse, Thorsten Papenbrock, Johannes Frohnhofen, Georg Wiese and Philipp Schmidt. Their work appears in journals such as Journal of Cardiovascular Magnetic Resonance, World Patent Information, Lecture notes in computer science, Data Technologies and Applications and Current Oncology.

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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