Maximilian Wich

472 total citations
14 papers, 268 citations indexed

About

Maximilian Wich is a scholar working on Artificial Intelligence, Social Psychology and Communication. According to data from OpenAlex, Maximilian Wich has authored 14 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 5 papers in Social Psychology and 4 papers in Communication. Recurrent topics in Maximilian Wich's work include Hate Speech and Cyberbullying Detection (10 papers), Social Media and Politics (4 papers) and Spam and Phishing Detection (3 papers). Maximilian Wich is often cited by papers focused on Hate Speech and Cyberbullying Detection (10 papers), Social Media and Politics (4 papers) and Spam and Phishing Detection (3 papers). Maximilian Wich collaborates with scholars based in Germany, Denmark and Italy. Maximilian Wich's co-authors include Georg Groh, Tobias Widmann, Jan Michael Bauer, Diana Rieger, Anna Sophie Kümpel, E. Mosca, Christian Widmer and Jürgen Pfeffer and has published in prestigious journals such as Political Analysis, Social Media + Society and mediaTUM (Technical University of Munich).

In The Last Decade

Maximilian Wich

14 papers receiving 251 citations

Peers

Maximilian Wich
Punyajoy Saha India
Quan Ze Chen United States
Binny Mathew India
Lizhou Fan United States
Simona Frenda Italy
Andrea Hickerson United States
Erik Tjong Kim Sang Netherlands
Fabian Flöck Germany
Emily Sheng United States
Paul Röttger United Kingdom
Punyajoy Saha India
Maximilian Wich
Citations per year, relative to Maximilian Wich Maximilian Wich (= 1×) peers Punyajoy Saha

Countries citing papers authored by Maximilian Wich

Since Specialization
Citations

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

Fields of papers citing papers by Maximilian Wich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maximilian Wich

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

All Works

14 of 14 papers shown
1.
Widmann, Tobias & Maximilian Wich. (2022). Creating and Comparing Dictionary, Word Embedding, and Transformer-Based Models to Measure Discrete Emotions in German Political Text. Political Analysis. 31(4). 626–641. 46 indexed citations
2.
Widmann, Tobias & Maximilian Wich. (2022). Creating and Comparing Dictionary, Word Embedding, and Transformer-based Models to Measure Discrete Emotions in German Political Text. SSRN Electronic Journal. 2 indexed citations
3.
Wich, Maximilian, et al.. (2022). Introducing an Abusive Language Classification Framework for Telegram to Investigate the German Hater Community. Proceedings of the International AAAI Conference on Web and Social Media. 16. 1133–1144. 7 indexed citations
4.
Wich, Maximilian, et al.. (2021). Bias and comparison framework for abusive language datasets. AI and Ethics. 2(1). 79–101. 8 indexed citations
5.
Wich, Maximilian, et al.. (2021). Investigating Annotator Bias in Abusive Language Datasets. 1515–1525. 4 indexed citations
6.
7.
Wich, Maximilian, et al.. (2021). German Abusive Language Dataset with Focus on COVID-19. 247–252. 1 indexed citations
8.
Wich, Maximilian, et al.. (2021). Are Your Friends Also Haters? Identification of Hater Networks on Social Media. mediaTUM (Technical University of Munich). 1. 481–485. 5 indexed citations
9.
Mosca, E., Maximilian Wich, & Georg Groh. (2021). Understanding and Interpreting the Impact of User Context in Hate Speech Detection. 91–102. 27 indexed citations
10.
Wich, Maximilian, et al.. (2020). Identifying and Measuring Annotator Bias Based on Annotators’ Demographic Characteristics. 184–190. 49 indexed citations
11.
Wich, Maximilian, Jan Michael Bauer, & Georg Groh. (2020). Impact of Politically Biased Data on Hate Speech Classification. 54–64. 37 indexed citations
12.
Wich, Maximilian, et al.. (2020). Investigating Annotator Bias with a Graph-Based Approach. 191–199. 19 indexed citations
13.
Wich, Maximilian, et al.. (2016). Enrichment of Smart Home Services by Integrating Social Network Services and Big Data Analytics. 81. 425–434. 4 indexed citations
14.

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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