Does the h-index for ranking of scientists really work?

Bornmann, Lutz; Daniel, Hans‐Dieter

doi:10.1007/s11192-005-0281-4

Cited by 331 publications

(211 citation statements)

References 4 publications

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“…Over the last few years it has been applied to a variety of areas; see for instance [BALL, 2005;BORNMANN & DANIEL, 2005;CRONIN & MEHO, 2006;GLÄNZEL, 2006;HIRSCH, 2007;LIU & ROUSSEAU, 2007;OPPENHEIM, 2007; VAN RAAN, 2006].…”

Section: In 2005 Jorge Hirsch Proposed the H-index (Or Hirsch-index)mentioning

confidence: 99%

A new family of scientific impact measures: The generalized Kosmulski-indices

Deı̆neko

Woeginger

2009

Scientometrics

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Section: In 2005 Jorge Hirsch Proposed the H-index (Or Hirsch-index)mentioning

confidence: 99%

A new family of scientific impact measures: The generalized Kosmulski-indices

Deı̆neko

Woeginger

2009

Scientometrics

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“…An example of an external metric recently adopted by academics and recruiters is the h-index [16]: from an academic standpoint, this index measures both the productivity and the external recognition of a researcher, by collecting the number of citations of all her publications: having (at least) N publications with (at least) N citations each will produce an h-index of N. Although flaws have been identified in how the h-index is evaluated and threats to its validity posed [17], the index is widely used, for instance in identifying successful candidates for academic positions [18].…”

Section: Introductionmentioning

confidence: 99%

Developing an h-index for OSS developers

Capiluppi

Serebrenik

Youssef

2012

2012 9th IEEE Working Conference on Mining Software Repositories (MSR)

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Abstract-The public data available in Open Source Software (OSS) repositories has been used for many practical reasons: detecting community structures; identifying key roles among developers; understanding software quality; predicting the arousal of bugs in large OSS systems, and so on; but also to formulate and validate new metrics and proof-of-concepts on general, non-OSS specific, software engineering aspects.One of the results that has not emerged yet from the analysis of OSS repositories is how to help the "career advancement" of developers: given the available data on products and processes used in OSS development, it should be possible to produce measurements to identify and describe a developer, that could be used externally as a measure of recognition and experience.This paper builds on top of the h-index, used in academic contexts, and which is used to determine the recognition of a researcher among her peers. By creating similar indices for OSS (or any) developers, this work could help defining a baseline for measuring and comparing the contributions of OSS developers in an objective, open and reproducible way.

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“…Of course, h depends both on the quantity and the impact-in terms of received citations-of the papers of interest. For more on the (dis)advantages, properties, variants and improvements of h, please refer to the vast literature and extensive reviews (Bornmann and Daniel 2005;Braun et al 2006;Van Raan 2006;Alonso et al 2009;Franceschini and Maisano 2010a, b). The popularity of the h-index has to be ascribed to its simplicity, immediacy and robustness, i.e.…”

Section: Introductionmentioning

confidence: 99%

The effect of database dirty data on h-index calculation

2012

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As all databases, the bibliometric ones (e.g. Scopus, Web of Knowledge and Google Scholar) are not exempt from errors, such as missing or wrong records, which may obviously affect publication/citation statistics and-more in general-the resulting bibliometric indicators. This paper tries to answer to the question ''What is the effect of database uncertainty on the evaluation of the h-index?'', breaking the paradigm of deterministic database analysis and treating responses to database queries as random variables. Precisely an informetric model of the h-index is used to quantify the variability of this indicator with respect to the variability stemming from errors in database records. Some preliminary results are presented and discussed.

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Does the h-index for ranking of scientists really work?

Cited by 331 publications

References 4 publications

A new family of scientific impact measures: The generalized Kosmulski-indices

A new family of scientific impact measures: The generalized Kosmulski-indices

Developing an h-index for OSS developers

The effect of database dirty data on h-index calculation

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