Daniele Bianchi

1.1k citations
37 papers · 579 indexed · 1 hit paper · h-index 11

Daniele Bianchi

34 papers receiving 550 citations

Hit Papers

Bond Risk Premiums with Machine Learning210202020262022202450100150200

Peers

Daniele Bianchi
Comparison fields: 5 of 44
  • Finance 362
  • Economics and Econometrics 387
  • Management Science and Operations Research 152
  • General Economics, Econometrics and Finance 81
  • Information Systems 160
Replace Cathy Yi‐Hsuan Chen with:
Cathy Yi‐Hsuan Chen Germany
Daniel Felix Ahelegbey Italy
Ahmed BenSaïda Tunisia
Valerio Potì Ireland
Rand Kwong Yew Low Australia
Dionisis Philippas France
Yingzi Zhu China
Joerg Osterrieder Netherlands
Jui‐Cheng Hung Taiwan
Ioanid Roşu France
Daniele Bianchi relative to Cathy Yi‐Hsuan Chen Germany Cathy Yi‐Hsuan Chen's profile →
Citations per field
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Cathy Yi‐Hsuan Chen · 1×
Citations per year

Countries citing papers authored by Daniele Bianchi

Since Specialization
Citations

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

Fields of papers citing papers by Daniele Bianchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 13 scholars most cited alongside Daniele Bianchi, 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 Daniele Bianchi Line = papers co-authored together Daniele Bianchi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20231
2 20233
3 20222
4 202235
5 20215
6 20210
7 20213
8 20207
9 201939
10 20191
11 201821
12 201819
13 20181
14
Expected Spot Prices and the Dynamics of Commodity Risk Premia
20175
15 20149
16 20141
17 201414
18 20135
19 20131
20 20130

About Daniele Bianchi

Daniele Bianchi is a scholar working on Finance, General Economics, Econometrics and Finance and Economics and Econometrics, having authored 37 papers that have together received 579 indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (26 papers), Market Dynamics and Volatility (18 papers), Complex Systems and Time Series Analysis (13 papers), Financial Risk and Volatility Modeling (12 papers), Monetary Policy and Economic Impact (10 papers), Blockchain Technology Applications and Security (5 papers), Stock Market Forecasting Methods (3 papers) and Housing Market and Economics (3 papers). The work is most often cited by research in Finance (362 citations), Economics and Econometrics (387 citations) and Management Science and Operations Research (152 citations). Daniele Bianchi has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Andrea Tamoni, Matthias Büchner, Massimo Guidolin, Monica Billio, Roberto Casarin, Francesco Ravazzolo, Luca Rossini, Nicolás Bianco, Mauro Bernardi and Iván Petrella. Their work appears in journals such as Journal of Banking & Finance, Journal of Business and Economic Statistics, Review of Financial Studies, Journal of Economic Dynamics and Control and Journal of Financial Econometrics.

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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