Simone Merello
Impact in
-
- Stock Market Forecasting Methods
- Forecasting Techniques and Applications
- Finance top 10%
- Financial Markets and Investment Strategies
Papers in
- Finance 4
- Financial Markets and Investment Strategies 4
-
- Stock Market Forecasting Methods 4
- Co-authors
- Luca Oneto (4 shared papers)Erik Cambria (4 shared papers)Yukun Ma (3 shared papers)M. Relini (1 shared paper)Giulio Rélini (1 shared paper)Lorenzo Malandri (1 shared paper)Mattia Atzeni (1 shared paper)Frédéric A. Dreyer (1 shared paper)
- Journals
- Expert Systems with Applications (1 paper)Hydrobiologia (1 paper)BOA (University of Milano-Bicocca) (1 paper)CINECA IRIS Institutial Research Information System (University of Genoa) (2 papers)
In The Last Decade
Simone Merello
6 papers receiving 282 citations
Simone Merello's Hit Papers
Peers
Comparison fields: 5 of 44
- Management Science and Operations Research 199
- Finance 87
- Economics and Econometrics 64
- Artificial Intelligence 73
- Global and Planetary Change 36
Countries citing papers authored by Simone Merello
This map shows the geographic impact of Simone Merello'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 Simone Merello with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simone Merello more than expected).
Fields of papers citing papers by Simone Merello
This network shows the impact of papers produced by Simone Merello. 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 Simone Merello. The network helps show where Simone Merello may publish in the future.
Co-authors
The 11 scholars most cited alongside Simone Merello, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Technical analysis and sentiment embeddings for market trend prediction Hit paper breakdown → | 2019 | 202 |
| 2 | 2007 | 45 | |
| 3 | 2018 | 21 | |
| 4 | 2019 | 18 | |
| 5 | 2018 | 7 | |
| 6 | 2023 | 1 |
About Simone Merello
Simone Merello is a scholar working on Finance, Management Science and Operations Research, Economics and Econometrics, Ecology and Artificial Intelligence, having authored 6 papers that have together received 294 indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (4 papers), Stock Market Forecasting Methods (4 papers), Complex Systems and Time Series Analysis (3 papers), Natural Language Processing Techniques (1 paper), Language and cultural evolution (1 paper), Coral and Marine Ecosystems Studies (1 paper), Marine and fisheries research (1 paper) and Topic Modeling (1 paper). The work is most often cited by research in Management Science and Operations Research (199 citations), Finance (87 citations), Economics and Econometrics (64 citations), Artificial Intelligence (73 citations) and Global and Planetary Change (36 citations). Simone Merello has collaborated with scholars based in Italy and Singapore. Frequent co-authors include Luca Oneto, Erik Cambria, Yukun Ma, M. Relini, Giulio Rélini, Lorenzo Malandri, Mattia Atzeni, Frédéric A. Dreyer, Nora Kassner and Louis Martin. Their work appears in journals such as Expert Systems with Applications, Hydrobiologia, BOA (University of Milano-Bicocca) and CINECA IRIS Institutial Research Information System (University of Genoa).
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.