---
title: Quantitative Finance Research Bibliometrics
url: https://www.ml-quant.com/papers/repec/rfa-aefjnl-v-10-y-2023-i-2-p-117/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: RePEc:rfa:aefjnl:v:10:y:2023:i:2:p:117
source_url: https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fredfame.com%2Fjournal%2Findex.php%2Faef%2Farticle%2Fdownload%2F5949%2F6194%3Bh%3Drepec%3Arfa%3Aaefjnl%3Av%3A10%3Ay%3A2023%3Ai%3A2%3Ap%3A117
featured: 2023-06-14
citations: unknown
topic: Trading, Microstructure & Execution
---


# Quantitative Finance Research Bibliometrics

The article examines the current state of quantitative finance research through bibliometric analysis, highlighting important research and emerging topics like deep learning and quantitative trading.

- Source: https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fredfame.com%2Fjournal%2Findex.php%2Faef%2Farticle%2Fdownload%2F5949%2F6194%3Bh%3Drepec%3Arfa%3Aaefjnl%3Av%3A10%3Ay%3A2023%3Ai%3A2%3Ap%3A117
- Identifier: RePEc:rfa:aefjnl:v:10:y:2023:i:2:p:117
- Released: 2023-06-14
- First featured: Quant Letter No. 4 (2023-06-14): https://www.ml-quant.com/issues/2023-06-14/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Trading, Microstructure & Execution

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