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 17
- Hate Speech and Cyberbullying Detection 9
- Natural Language Processing Techniques 8
- Sentiment Analysis and Opinion Mining 7
-
- Misinformation and Its Impacts 22
- Co-authors
- Huan Liu (7 shared papers)Jiliang Tang (4 shared papers)Huan Liu (24 shared papers)Suhang Wang (3 shared papers)Robert P. Treviño (1 shared paper)Jundong Li (1 shared paper)Kewei Cheng (1 shared paper)Liang Wu (9 shared papers)
- Journals
- Scientific Reports (2 papers)IEEE Transactions on Computational Social Systems (2 papers)Language Resources and Evaluation (1 paper)Social Network Analysis and Mining (1 paper)ACM Transactions on the Web (1 paper)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Fred Morstatter
73 papers receiving 3.2k citations
Fred Morstatter's Hit Papers
Peers
Comparison fields: 5 of 176
- Communication 395
- Artificial Intelligence 1.5k
- Statistical and Nonlinear Physics 420
- Information Systems 703
- Signal Processing 254
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 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Feature Selection Hit paper breakdown → | 2017 | 1541 |
| 2 | Misinformation in Social Media Hit paper breakdown → | 2019 | 224 |
| 3 | 2013 | 224 | |
| 4 | 2016 | 89 | |
| 5 | 2016 | 71 | |
| 6 | 2018 | 69 | |
| 7 | 2016 | 67 | |
| 8 | 2014 | 65 | |
| 9 | 2021 | 60 | |
| 10 | 2013 | 53 | |
| 11 | 2021 | 50 | |
| 12 | 2021 | 47 | |
| 13 | 2021 | 44 | |
| 14 | 2013 | 42 | |
| 15 | 2018 | 42 | |
| 16 | 2018 | 42 | |
| 17 | 2017 | 41 | |
| 18 | 2016 | 37 | |
| 19 | 2022 | 33 | |
| 20 | 2017 | 31 |
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 80 papers that have together received 3.3k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (22 papers), Misinformation and Its Impacts (22 papers), Spam and Phishing Detection (17 papers), Topic Modeling (17 papers), Opinion Dynamics and Social Influence (15 papers), Hate Speech and Cyberbullying Detection (9 papers), Natural Language Processing Techniques (8 papers) and Sentiment Analysis and Opinion Mining (7 papers). The work is most often cited by research in Communication (395 citations), Artificial Intelligence (1.5k citations), Statistical and Nonlinear Physics (420 citations), Information Systems (703 citations) and Signal Processing (254 citations). Fred Morstatter has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Huan Liu, Jiliang Tang, Huan Liu, Suhang Wang, Robert P. Treviño, Jundong Li, Kewei Cheng, Liang Wu, Kathleen M. Carley and Shamanth Kumar. Their work appears in journals such as Scientific Reports, IEEE Transactions on Computational Social Systems, Language Resources and Evaluation, Social Network Analysis and Mining and ACM Transactions on the Web.
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.