Moritz Sudhof

732 citations
4 papers · 323 indexed · 1 hit paper · h-index 4
Topics
Market Dynamics and Volatility (2 papers)Sentiment Analysis and Opinion Mining (2 papers)Stock Market Forecasting Methods (2 papers)
Journals
Journal of EconometricsFederal Reserve Bank of San Francisco, Working Paper SeriesFRB SF weekly letter
Partner nations
United States

In The Last Decade

Moritz Sudhof

4 papers receiving 312 citations

Hit Papers

Measuring news sentiment2020202620222024202050100150200

Peers

Moritz Sudhof
Comparison fields: 5 of 55
  • Economics and Econometrics 183
  • Finance 114
  • Management Science and Operations Research 77
  • Sociology and Political Science 64
  • General Economics, Econometrics and Finance 58
Replace Norman J. Morin with:
Norman J. Morin United States
Soonho Kim South Korea
Chen Gu China
Krzysztof Rybiński Poland
Isaiah Hull Sweden
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Moritz Sudhof relative to Norman J. Morin United States Norman J. Morin's profile →
Citations per field
00.5×10×15×19.3×
Norman J. Morin · 1×
Citations per year

Countries citing papers authored by Moritz Sudhof

Since Specialization
Citations

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

Fields of papers citing papers by Moritz Sudhof

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Moritz Sudhof

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

All Works

4 of 4 papers shown
#WorkIndexed citations
1
News Sentiment in the Time of COVID-19
42
2
Measuring news sentimentbreakdown →
205
3 63
4 13

About Moritz Sudhof

Moritz Sudhof is a scholar working on Management Science and Operations Research, Economics and Econometrics and Statistical and Nonlinear Physics, having authored 4 papers that have together received 323 indexed citations. Recurring topics across this work include Market Dynamics and Volatility (2 papers), Sentiment Analysis and Opinion Mining (2 papers) and Stock Market Forecasting Methods (2 papers). The work is most often cited by research in Finance (114 citations), General Economics, Econometrics and Finance (58 citations) and Economics and Econometrics (183 citations). Moritz Sudhof has collaborated with scholars based in United States. Frequent co-authors include Daniel J. Wilson, Adam Hale Shapiro, Christopher Potts and Andrew L. Maas. Their work appears in journals such as Journal of Econometrics, Federal Reserve Bank of San Francisco, Working Paper Series and FRB SF weekly letter.

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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