Gabriele Ranco

432 citations
4 papers · 297 indexed · 1 hit paper · h-index 3
Topics
Stock Market Forecasting Methods (3 papers)Complex Systems and Time Series Analysis (2 papers)Market Dynamics and Volatility (1 paper)
Journals
PLoS ONEPubMed
Partner nations
United KingdomItalySpain

In The Last Decade

Gabriele Ranco

4 papers receiving 281 citations

Hit Papers

The Effects of Twitter Sentiment on Stock Price Returns2015202620182022201550100150200250

Peers

Gabriele Ranco
Comparison fields: 5 of 65
  • Management Science and Operations Research 130
  • Economics and Econometrics 114
  • Finance 90
  • Artificial Intelligence 81
  • Sociology and Political Science 58
Replace Anqi Liu with:
Anqi Liu United States
Adam Avakian United States
Moritz Sudhof United States
Sebastiano Manzan United States
Takaaki Ohnishi Japan
Anton Kolotilin Australia
Piotr Dworczak United States
Cathy Yi‐Hsuan Chen Germany
Soonho Kim South Korea
Julián Andrada Félix Spain
Gabriele Ranco relative to Anqi Liu United States Anqi Liu's profile →
Citations per field
00.5×3.2×
Anqi Liu · 1×
Citations per year

Countries citing papers authored by Gabriele Ranco

Since Specialization
Citations

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

Fields of papers citing papers by Gabriele Ranco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriele Ranco

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriele Ranco. A scholar is included among the top collaborators of Gabriele Ranco 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 Gabriele Ranco. Gabriele Ranco 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 9
2 18
3
The Effects of Twitter Sentiment on Stock Price Returnsbreakdown →
268
4
Investigating the Relations between Twitter Sentiment and Stock Prices.
2

About Gabriele Ranco

Gabriele Ranco is a scholar working on Management Science and Operations Research, Hepatology and Finance, having authored 4 papers that have together received 297 indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (3 papers), Complex Systems and Time Series Analysis (2 papers) and Market Dynamics and Volatility (1 paper). The work is most often cited by research in Management Science and Operations Research (130 citations), Finance (90 citations) and Economics and Econometrics (114 citations). Gabriele Ranco has collaborated with scholars based in United Kingdom, Italy and Spain. Frequent co-authors include Guido Caldarelli, Darko Aleksovski, Igor Mozetič, Miha Grćar, Giacomo Bormetti, Fabrizio Lillo, Ilaria Bordino, Marco Pavesi, Rajiv Jalan and Javier Fernández. Their work appears in journals such as PLoS ONE and PubMed.

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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