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.

The relationship between infrared, optical, and ultraviolet extinction

The Astrophysical Journal(1989)10.1086/167900Source: DataRank Database

The relationship between infrared, optical, and ultraviolet extinction is a research paper published in The Astrophysical Journal (1989). On theSindex it has a DataRank of 1.4. It has been cited 11,791 times.

N/A

1.4DataRank · unranked

1.4

11791 citations · base score 9.4

Cite:

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Abstract

view Abstract Citations (9701) References (43) Co-Reads Similar Papers Volume Content Graphics Metrics Export Citation NASA/ADS The Relationship between Infrared, Optical, and Ultraviolet Extinction Cardelli, Jason A. ; Clayton, Geoffrey C. ; Mathis, John S. Abstract The parameterized extinction data of Fitzpatrick and Massa (1986, 1988) for the ultraviolet and various sources for the optical and near-infrared are used to derive a meaningful average extinction law over the 3.5 micron to 0.125 wavelength range which is applicable to both diffuse and dense regions of the interstellar medium. The law depends on only one parameter R(V) = A(V)/E(B-V). An analytic formula is given for the mean extinction law which can be used to calculate color excesses or to deredden observations. The validity of the law over a large wavelength interval suggests that the processes which modify the sizes and compositions of grains are stochastic in nature and very efficient. Publication: The Astrophysical Journal Pub Date: October 1989 DOI: 10.1086/167900 Bibcode: 1989ApJ...345..245C Keywords: Infrared Spectra; Interstellar Extinction; Ultraviolet Spectra; Visible Spectrum; Computational Astrophysics; Interstellar Matter; Iue; Astrophysics; INTERSTELLAR: MATTER; ULTRAVIOLET: SPECTRA full text sources ADS | data products SIMBAD (38) MAST (2)

›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

1.4

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 →