Demo corpus. Scores are computed on a select set of biomedical paper/datasets and may be inaccurate for papers outside this corpus — DataRank relies on network effects that improve with scale. We aim to expand this into a fully open resource pending additional funding.

What are the top five journals in economics? A new meta-ranking

Applied Economics(2017)10.1080/00036846.2017.1332753Source: DataRank Database

What are the top five journals in economics? A new meta-ranking is a research paper published in Applied Economics (2017). On theSindex it has a DataRank of 0.568. It has been cited 43 times.

N/A

0.568DataRank · unranked

0.568

43 citations · base score 3.8

Cite:

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Abstract

We construct a meta-ranking of 277 economics journals based on 22 different rankings. The ranking incorporates bibliometric indicators from four different databases (Web of Science, Scopus, Google Scholar, and RePEc). We account for the different scaling of the bibliometric indicators by standardizing each ranking score. We run a principal component analysis to assign weights to each ranking. In our meta-ranking, the top five journals are given by: Quarterly Journal of Economics, Journal of Financial Economics, Journal of Economic Literature (JEL), Journal of Finance, and Econometrica. Additionally, leaving out the JEL as a survey journal and the finance journals in our top 10 list we confirm the perceived top five journals in the economics profession.

›Data sources & pipeline

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Pending

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (0/2)

Interoperable (0/2)

Reusable (0/3)

FAIR checklist signals are shown for context only and do not affect DataRank scoring.

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DataRank Breakdown

Base Score 100%Citation Network 0%

Base Score Contribution

0.568

From this paper's citation signal

Citation Network Contribution

Citation network not refreshed for this result

This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.

Learn more about DataRank methodology →

Why this DataRank?

DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 100% comes from its base citations and 0% from the citation network.

Base score B(p): log1p(citation_count) — grows sub-linearly, so a paper with 1,000 citations is not 10× a paper with 100.
Network N(p): Σ over citers of log1p(C_q) ÷ max(outdegree_q, 1). Being cited by a highly-cited paper with few references counts most.
Damping factor d = 0.85: DataRank = (1−d)·B(p) + d·N(p) — the two cards above are each already multiplied by their share.
Self-citations excluded: Citers sharing any OpenAlex author ID with this paper are filtered out before the network sum.

Citers are pulled from OpenAlex sorted by cited_by_count:descand capped per paper, so when the cap binds we keep the highest-signal references and the score is reproducible across reruns.

Read the full methodology →