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New BIP! Ranker library computes citation impact for massive scientific graphs

By PulseAugur Editorial · [1 sources] ·

A new open-source software library called BIP! Ranker has been developed to compute citation-based impact indicators for large-scale scientific graphs. This library, built on Apache Spark, can process citation networks containing billions of citations across hundreds of millions of publications. BIP! Ranker aims to provide a more nuanced understanding of scientific impact beyond simple citation counts by offering multiple complementary indicators. AI

IMPACT Provides tools for researchers to better understand and quantify scientific impact, potentially influencing research evaluation and discovery.

RANK_REASON The item describes a new open-source software library for computing citation-based impact indicators, presented as a research paper on arXiv. [lever_c_demoted from research: ic=1 ai=0.4]

Read on arXiv cs.IR (Information Retrieval) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New BIP! Ranker library computes citation impact for massive scientific graphs

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The item describes a new open-source software library for computing citation-based impact indicators, presented as a research paper on arXiv. [lever_c_demoted from research: ic=1 ai=0.4]
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COVERAGE [1]

  1. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Thanasis Vergoulis ·

    BIP! Ranker: A Software Library for Citation-Based Impact Indicators on Large-Scale Graphs

    Scientific impact is multidimensional: overall influence, current popularity, early citation momentum, and field-relative performance each capture a distinct facet of a publication's impact. Yet, in practice, these dimensions are often reduced to a single metric, such as citation…

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