Fred Morstatter
Impact in
- Communication top 1%
- Social Media and Politics
- Artificial Intelligence top 0.5%
- Sentiment Analysis and Opinion Mining
- Topic Modeling
Papers in
-
- Topic Modeling 19
- Natural Language Processing Techniques 9
- Hate Speech and Cyberbullying Detection 8
- Sentiment Analysis and Opinion Mining 8
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- Misinformation and Its Impacts 21
- Co-authors
- Huan Liu (10 shared papers)Huan Liu (29 shared papers)Jiliang Tang (4 shared papers)Suhang Wang (3 shared papers)Jundong Li (2 shared papers)Kewei Cheng (1 shared paper)Robert P. Treviño (1 shared paper)Liang Wu (10 shared papers)
- Journals
- Scientific Reports (2 papers)Proceedings of the ACM on Human-Computer Interaction (2 papers)IEEE Transactions on Computational Social Systems (2 papers)IEEE Intelligent Systems (1 paper)Journal of Medical Internet Research (1 paper)
- Partner nations
- United StatesGermanyTürkiye
In The Last Decade
Fred Morstatter
83 papers receiving 3.8k citations
Fred Morstatter's Hit Papers
Peers
Comparison fields: 5 of 176
- Communication 451
- Artificial Intelligence 1.8k
- Statistical and Nonlinear Physics 499
- Information Systems 838
- Signal Processing 300
Countries citing papers authored by Fred Morstatter
This map shows the geographic impact of Fred Morstatter'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 Fred Morstatter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fred Morstatter more than expected).
Fields of papers citing papers by Fred Morstatter
This network shows the impact of papers produced by Fred Morstatter. 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 Fred Morstatter. The network helps show where Fred Morstatter may publish in the future.
Co-authors
The 25 scholars most cited alongside Fred Morstatter, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Feature Selection Hit paper breakdown → | 2017 | 1745 |
| 2 | 2013 | 267 | |
| 3 | Misinformation in Social Media Hit paper breakdown → | 2019 | 260 |
| 4 | 2016 | 114 | |
| 5 | 2016 | 78 | |
| 6 | 2018 | 78 | |
| 7 | 2016 | 76 | |
| 8 | 2014 | 71 | |
| 9 | 2021 | 67 | |
| 10 | 2013 | 63 | |
| 11 | 2021 | 53 | |
| 12 | 2021 | 51 | |
| 13 | 2021 | 51 | |
| 14 | 2018 | 48 | |
| 15 | 2017 | 46 | |
| 16 | 2013 | 46 | |
| 17 | 2018 | 45 | |
| 18 | 2016 | 43 | |
| 19 | 2022 | 37 | |
| 20 | 2021 | 36 |
About Fred Morstatter
Fred Morstatter is a scholar working on Artificial Intelligence, Sociology and Political Science, Statistical and Nonlinear Physics, Information Systems and Communication, having authored 94 papers that have together received 3.9k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (26 papers), Misinformation and Its Impacts (21 papers), Spam and Phishing Detection (19 papers), Topic Modeling (19 papers), Opinion Dynamics and Social Influence (15 papers), Natural Language Processing Techniques (9 papers), Hate Speech and Cyberbullying Detection (8 papers) and Sentiment Analysis and Opinion Mining (8 papers). The work is most often cited by research in Communication (451 citations), Artificial Intelligence (1.8k citations), Statistical and Nonlinear Physics (499 citations), Information Systems (838 citations) and Signal Processing (300 citations). Fred Morstatter has collaborated with scholars based in United States, Germany and Türkiye. Frequent co-authors include Huan Liu, Huan Liu, Jiliang Tang, Suhang Wang, Jundong Li, Kewei Cheng, Robert P. Treviño, Liang Wu, Shamanth Kumar and Kathleen M. Carley. Their work appears in journals such as Scientific Reports, Proceedings of the ACM on Human-Computer Interaction, IEEE Transactions on Computational Social Systems, IEEE Intelligent Systems and Journal of Medical Internet Research.
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.