Moritz Sudhof

753 citations
4 papers · 331 · 1 hit paper · h-index 4

Impact in

  • Finance top 5%
    • Financial Markets and Investment Strategies
    • Market Dynamics and Volatility
    • Complex Systems and Time Series Analysis
    • COVID-19 Pandemic Impacts

Papers in

Journals
Journal of Econometrics (1 paper)FRB SF weekly letter (1 paper)Federal Reserve Bank of San Francisco, Working Paper Series (1 paper)
Partner nations
United States

In The Last Decade

Moritz Sudhof

4 papers receiving 320 citations

Moritz Sudhof's Hit Papers

Measuring news sentiment 2020 · 213 citations
2130+2+4Years since publication50100150200

Peers

Moritz Sudhof
Comparison fields: 5 of 55
  • Finance 114
  • Economics and Econometrics 182
  • General Economics, Econometrics and Finance 56
  • Management Science and Operations Research 80
  • General Social Sciences 16
Replace Norman J. Morin with:
Norman J. Morin United States
Krzysztof Rybiński Poland
Soonho Kim South Korea
Chen Gu China
Isaiah Hull Sweden
Kristian Bondo Hansen Denmark
Danny Yeung Australia
Sowmya Subramaniam India
Nildağ Başak Ceylan Türkiye
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-authors

The 4 scholars most cited alongside Moritz Sudhof, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Moritz Sudhof Line = papers co-authored together Moritz Sudhof links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown
#Work
1
Measuring news sentiment
Hit paper breakdown →
2020213
2 201762
3
News Sentiment in the Time of COVID-19
202043
4 201413

About Moritz Sudhof

Moritz Sudhof is a scholar working on Economics and Econometrics, Artificial Intelligence, Management Science and Operations Research, Sociology and Political Science and Statistical and Nonlinear Physics, having authored 4 papers that have together received 331 indexed citations. Recurring topics across this work include Market Dynamics and Volatility (2 papers), Sentiment Analysis and Opinion Mining (2 papers), Stock Market Forecasting Methods (2 papers), Media Influence and Politics (1 paper), COVID-19 Pandemic Impacts (1 paper), Complex Network Analysis Techniques (1 paper) and Opinion Dynamics and Social Influence (1 paper). The work is most often cited by research in Finance (114 citations), Economics and Econometrics (182 citations), General Economics, Econometrics and Finance (56 citations), Management Science and Operations Research (80 citations) and General Social Sciences (16 citations). Moritz Sudhof has collaborated with scholars based in United States. Frequent co-authors include Daniel J. Wilson, Adam Hale Shapiro, Andrew L. Maas and Christopher Potts. Their work appears in journals such as Journal of Econometrics, FRB SF weekly letter and Federal Reserve Bank of San Francisco, Working Paper Series.

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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