---
title: "TRACE: papers using this data, journals and trends"
description: "From Nov 2023 to Oct 2026, 115 archived papers mentioned TRACE in their title, abstract, keywords or full text, most of them in Jul 2025 (8)."
url: https://scholar4ai.com/datasets/trace
markdown_url: https://scholar4ai.com/datasets/trace.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "From Nov 2023 to Oct 2026, 115 archived papers mentioned TRACE in their title, abstract, keywords or full text, most of them in Jul 2025 (8). (as of 2026-11-05)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-05T06:02:37+09:00
window: 2026-10-07 to 2026-11-05
source: OpenAlex (CC0)
---

# TRACE

[Browse dataset profiles](https://scholar4ai.com/datasets/directory/page/6.md)

Corporate bond trades and terms, syndicated loans, credit default swaps and credit ratings.

- data category: Bond, loan and credit data
- 0 papers in the last 7 days
- Names searched for: Enhanced TRACE, FINRA TRACE, TRACE bond, TRACE corporate bond, Trade Reporting and Compliance Engine, TRACE

Most-used data: https://scholar4ai.com/rankings/datasets.md · All Bond, loan and credit data datasets: https://scholar4ai.com/datasets/bond-loan-and-credit-data.md



## Key findings

- From Nov 2023 to Oct 2026, 115 archived papers mentioned TRACE in their title, abstract, keywords or full text, most of them in Jul 2025 (8).
- No paper of the tracked journals mentioned TRACE in the last 30 days (2026-10-07 to 2026-11-05).
- From 2017 to 2026 (so far), TRACE was mentioned in 119 papers in the tracked journals, most of them in management (30), operations research (21) and information systems (17).
- 44 of them were published in 2025, against 0 in 2017.
- Since 2023, the institutions with the most of these papers were University of York (4), Durham University (3) and Lancaster University (3).
- The journals publishing most of them were Technological Forecasting and Social Change (5), Agricultural and Food Economics (5) and Future Business Journal (5).
- The most-cited of them is “Digital information in maritime supply chains with blockchain and cloud platforms: Supply chain capabilities, barriers, and research opportunities” (Technological Forecasting and Social Change, 2023), with 156 citations.
- Papers use TRACE most often with LinkedIn (9), CRSP (7) and Twitter / X (6); it has 16 partners in the code and data network, in the group around S&P 500, Economic Policy…, Compustat.

## Mentions over 36 months

*Papers mentioning it by publication month, Nov 2023 to Oct 2026 (titles, abstracts, keywords and full texts)*

| Trend | Nov 23–Oct 24 | Nov 24–Oct 25 | Nov 25–Oct 26 | 36 months |
|---|---:|---:|---:|---:|
|  | 22 | 41 | 52 | 115 |

## Papers per year

*Papers per publication year and category*

| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|
| [Management](https://scholar4ai.com/categories/management.md) | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 11 | 15 |
| [Operations Research](https://scholar4ai.com/categories/operations-research.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 13 | 6 |
| [Information Systems](https://scholar4ai.com/categories/information-systems.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | 3 |
| [Economics](https://scholar4ai.com/categories/economics.md) | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 2 | 6 |
| [AI](https://scholar4ai.com/categories/ai.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | 5 |
| [Finance](https://scholar4ai.com/categories/finance.md) | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 1 | 5 |
| [Accounting](https://scholar4ai.com/categories/accounting.md) | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 1 | 2 |
| [Health Economics and Policy](https://scholar4ai.com/categories/health-economics-and-policy.md) | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 |
| [Statistics](https://scholar4ai.com/categories/statistics.md) | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 |
| [Tourism and Hospitality](https://scholar4ai.com/categories/tourism-and-hospitality.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| [Marketing](https://scholar4ai.com/categories/marketing.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| [Higher Education and Research](https://scholar4ai.com/categories/higher-education-and-research.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| All categories | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 22 | 44 | 47 |

## Where the papers come from

*Journals with the most papers, since 2023*

| # | Journal | Papers |
|---:|---|---:|
| 1 | [Technological Forecasting and Social Change](https://scholar4ai.com/journals/technological-forecasting-and-social-change.md) | 5 |
| 2 | [Agricultural and Food Economics](https://scholar4ai.com/journals/agricultural-and-food-economics.md) | 5 |
| 3 | [Future Business Journal](https://scholar4ai.com/journals/future-business-journal.md) | 5 |
| 4 | [Electronic Markets](https://scholar4ai.com/journals/electronic-markets.md) | 4 |
| 5 | [Review of Accounting Studies](https://scholar4ai.com/journals/review-of-accounting-studies.md) | 4 |
| 6 | [Business & Information Systems Engineering](https://scholar4ai.com/journals/business-information-systems-engineering.md) | 4 |
| 7 | [Annals of Operations Research](https://scholar4ai.com/journals/annals-of-operations-research.md) | 3 |
| 8 | [International Journal of Production Economics](https://scholar4ai.com/journals/international-journal-of-production-economics.md) | 3 |
| 9 | [Cleaner Logistics and Supply Chain](https://scholar4ai.com/journals/cleaner-logistics-and-supply-chain.md) | 3 |
| 10 | [Technovation](https://scholar4ai.com/journals/technovation.md) | 2 |

*Institutions with the most papers, since 2023*

| # | Institution | Papers |
|---:|---|---:|
| 1 | [University of York](https://scholar4ai.com/institutions/university-of-york.md) | 4 |
| 2 | [Durham University](https://scholar4ai.com/institutions/durham-university.md) | 3 |
| 3 | [Lancaster University](https://scholar4ai.com/institutions/lancaster-university.md) | 3 |
| 4 | [Texas A&M University](https://scholar4ai.com/institutions/texas-a-m-university.md) | 3 |
| 5 | [University of Padua](https://scholar4ai.com/institutions/university-of-padua.md) | 3 |
| 6 | [University of Sheffield](https://scholar4ai.com/institutions/university-of-sheffield.md) | 3 |
| 7 | [University of Surrey](https://scholar4ai.com/institutions/university-of-surrey.md) | 3 |
| 8 | [Cardiff University](https://scholar4ai.com/institutions/cardiff-university.md) | 2 |
| 9 | EM Normandie Business School | 2 |
| 10 | Ecole des Hautes Etudes Commerciales du Nord | 2 |

*Countries with the most papers, since 2023*

| # | Country | Papers |
|---:|---|---:|
| 1 | United Kingdom | 36 |
| 2 | United States | 19 |
| 3 | Germany | 16 |
| 4 | Italy | 11 |
| 5 | China | 9 |
| 6 | France | 9 |
| 7 | Spain | 7 |
| 8 | Netherlands | 7 |
| 9 | India | 6 |
| 10 | Turkey | 6 |

*Keywords with the most papers, since 2023*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | [blockchain](https://scholar4ai.com/keywords/blockchain.md) | 27 |
| 2 | [digital transformation](https://scholar4ai.com/keywords/digital-transformation.md) | 12 |
| 3 | [supply chain resilience](https://scholar4ai.com/keywords/supply-chain-resilience.md) | 11 |
| 4 | [artificial intelligence](https://scholar4ai.com/keywords/artificial-intelligence.md) | 9 |
| 5 | [circular economy](https://scholar4ai.com/keywords/circular-economy.md) | 8 |
| 6 | supply chain transparency | 8 |
| 7 | blockchain adoption | 7 |
| 8 | smart contracts | 7 |
| 9 | [Industry 4.0](https://scholar4ai.com/keywords/industry-4-0.md) | 6 |
| 10 | [environmental sustainability](https://scholar4ai.com/keywords/environmental-sustainability.md) | 6 |

## Most-cited papers

*Most-cited papers since 2017*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 156 | 4.4 | [Digital information in maritime supply chains with blockchain and cloud platforms: Supply chain capabilities, barriers, and research opportunities](https://doi.org/10.1016/j.techfore.2023.122978) | [Technological Forecasting and Social Change](https://scholar4ai.com/journals/technological-forecasting-and-social-change.md) | 2023-11-20 | Ebru Surucu-Balci, Çağatay Iris, Gökçay Balcı |
| 2 | 64 | 3.8 | [Digital Transformation of Food Supply Chain Management Using Blockchain: A Systematic Literature Review Towards Food Safety and Traceability](https://doi.org/10.1007/s12599-025-00948-0) | [Business & Information Systems Engineering](https://scholar4ai.com/journals/business-information-systems-engineering.md) | 2025-06-12 | Marios Vasileiou, Leonidas Sotirios Kyrgiakos, Christina Kleisiari et al. |
| 3 | 56 | 1.8 | [Embracing the quantum frontier: Investigating quantum communication, cryptography, applications and future directions](https://doi.org/10.1016/j.jii.2024.100594) | [Journal of Industrial Information Integration](https://scholar4ai.com/journals/journal-of-industrial-information-integration.md) | 2024-03-22 | Vatsal Vasani, Kumar Prateek, Ruhul Amin et al. |
| 4 | 55 | 1.6 | [The European Union and United Kingdom's deforestation-free supply chains regulations: Implications for Brazil](https://doi.org/10.1016/j.ecolecon.2023.108053) | [Ecological Economics](https://scholar4ai.com/journals/ecological-economics.md) | 2023-12-04 | Susan E.M. Cesar de Oliveira, Louise Nakagawa, Gabriela Russo Lopes et al. |
| 5 | 54 | 2.5 | [Industry 4.0 technologies in support of circular Economy: A 10R-based integration framework](https://doi.org/10.1016/j.cie.2025.110867) | [Computers & Industrial Engineering](https://scholar4ai.com/journals/computers-industrial-engineering.md) | 2025-01-07 | Maria Pia Ciano, Mirco Peron, Luigi Panza et al. |

## Used together with

Papers use TRACE most often with LinkedIn (9), CRSP (7) and Twitter / X (6); it has 16 partners in the code and data network, in the group around S&P 500, Economic Policy…, Compustat.

*What papers use TRACE together with (at least 3 papers; lift 1 = chance)*

| Used with | Type | Papers using both | Lift |
|---|---|---:|---:|
| [LinkedIn](https://scholar4ai.com/datasets/linkedin.md) | Dataset | 9 | 4.3 |
| [CRSP](https://scholar4ai.com/datasets/crsp.md) | Dataset | 7 | 6.6 |
| [Twitter / X](https://scholar4ai.com/datasets/twitter-x.md) | Dataset | 6 | 0.6 |
| [Marketization index (Fan Gang)](https://scholar4ai.com/datasets/marketization-index-fan-gang.md) | Dataset | 5 | 3.0 |
| [WRDS](https://scholar4ai.com/datasets/wrds.md) | Dataset | 5 | 15.9 |
| [Compustat](https://scholar4ai.com/datasets/compustat.md) | Dataset | 4 | 2.5 |
| [Markit CDS](https://scholar4ai.com/datasets/markit-cds.md) | Dataset | 4 | 30.9 |
| [Mergent FISD](https://scholar4ai.com/datasets/mergent-fisd.md) | Dataset | 4 | 67.0 |
| [S&P 500](https://scholar4ai.com/datasets/s-p-500.md) | Dataset | 4 | 0.7 |
| [10-K filings](https://scholar4ai.com/datasets/10-k-filings.md) | Dataset | 3 | 4.3 |
| [China Family Panel Studies (CFPS)](https://scholar4ai.com/datasets/china-family-panel-studies-cfps.md) | Dataset | 3 | 2.9 |
| [International Energy Agency (IEA)](https://scholar4ai.com/datasets/international-energy-agency-iea.md) | Dataset | 3 | 1.3 |

The whole network: https://scholar4ai.com/code/network.md

## Cite this page

Scholar4AI. (2026). TRACE. Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/trace

```bibtex
@misc{scholar4ai-datasets-trace,
  author = {{Scholar4AI}},
  title = {TRACE},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/trace}},
  urldate = {2026-11-05},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).