Tim Schatto‐Eckrodt

658 citations
16 papers · 201 indexed · h-index 8
Topics
Social Media and Politics (10 papers)Misinformation and Its Impacts (7 papers)Hate Speech and Cyberbullying Detection (7 papers)

In The Last Decade

Tim Schatto‐Eckrodt

15 papers receiving 190 citations

Peers

Tim Schatto‐Eckrodt
Comparison fields: 5 of 36
  • Communication 135
  • Sociology and Political Science 103
  • Artificial Intelligence 77
  • Gender Studies 22
  • Literature and Literary Theory 19
Replace Svenja Boberg with:
Svenja Boberg Germany
Katherine Haenschen United States
David Lassen United States
Shuning Lu United States
Martin Emmer Germany
Pablo Porten-Cheé Germany
Marlis Stubenvoll Austria
Stavros Assimakopoulos Malta
Svetlana S. Bodrunova Russia
Newly Paul United States
Tim Schatto‐Eckrodt relative to Svenja Boberg Germany Svenja Boberg's profile →
Citations per field
00.5×1.7×
Svenja Boberg · 1×
Citations per year

Countries citing papers authored by Tim Schatto‐Eckrodt

Since Specialization
Citations

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

Fields of papers citing papers by Tim Schatto‐Eckrodt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tim Schatto‐Eckrodt. 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 Tim Schatto‐Eckrodt. The network helps show where Tim Schatto‐Eckrodt may publish in the future.

Co-authorship network of co-authors of Tim Schatto‐Eckrodt

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 5
2 1
3 2
4 11
5 6
6 10
7 0
8 18
9 45
10 4
11 12
12 3
13 12
14 22
15 3
16 47

About Tim Schatto‐Eckrodt

Tim Schatto‐Eckrodt is a scholar working on Communication, General Social Sciences and Ecological Modeling, having authored 16 papers that have together received 201 indexed citations. Recurring topics across this work include Social Media and Politics (10 papers), Misinformation and Its Impacts (7 papers) and Hate Speech and Cyberbullying Detection (7 papers). The work is most often cited by research in Communication (135 citations), General Social Sciences (9 citations) and Artificial Intelligence (77 citations). Tim Schatto‐Eckrodt has collaborated with scholars based in Germany, Netherlands and Denmark. Frequent co-authors include Lena Frischlich, Svenja Boberg, Thorsten Quandt, Florian Wintterlin, Lena Clever, Felix Reer and Chung‐hong Chan. Their work appears in journals such as Computers in Human Behavior, American Behavioral Scientist and Political Communication.

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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