39 research outputs found

    With or without h-index? Comparing aggregates of rankings based on seven popular bibliometric indicators

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    We apply five majority-rule-based ordinal ranking methods to data on economic, management and political science journals in order to produce aggregate journal rankings. First, we calculate aggregates for the set of rankings based on seven popular bibliometric indicators (impact factor, 5-year impact factor, immediacy index, article influence score, h-index, SNIP and SJR). Then, we exclude the Hirsch index and repeat the calculations. We perform the comparative correlation analysis of the aggregates and the initial rankings. We use two rank measures of correlation, Kendall’s tau and the share of coinciding pairs. The analysis demonstrates that aggregate rankings represent the set of single-indicator-based rankings better than any of the seven rankings themselves. Among the single-indicator-based rankings themselves, the best representations of their set are produced by the 5-year impact factor. The least representative are rankings based on the immediacy index. The exclusion of the Hirsch index from the set of indicators does not change these results

    Bibliometric Indicators in the Thomson Reuters Information Resources

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    Π’ Π³Π»Π°Π²Π΅ Ρ€Π°ΡΡΠΌΠ°Ρ‚Ρ€ΠΈΠ²Π°ΡŽΡ‚ΡΡ библиомСтричСскиС ΠΈΠ½Π΄ΠΈΠΊΠ°Ρ‚ΠΎΡ€Ρ‹, ΠΎΡ†Π΅Π½ΠΈΠ²Π°ΡŽΡ‰ΠΈΠ΅ Ρ†ΠΈΡ‚ΠΈΡ€ΡƒΠ΅ΠΌΠΎΡΡ‚ΡŒ ΠΆΡƒΡ€Π½Π°Π»ΠΎΠ², Π°Π²Ρ‚ΠΎΡ€ΠΎΠ², Π½Π°ΡƒΡ‡Π½Ρ‹Ρ… ΠΊΠΎΠ»Π»Π΅ΠΊΡ‚ΠΈΠ²ΠΎΠ², ΠΎΡ€Π³Π°Π½ΠΈΠ·Π°Ρ†ΠΈΠΉ ΠΈ Ρ†Π΅Π»Ρ‹Ρ… стран. ДаСтся ΠΎΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ ΠΈ обсуТдаСтся использованиС ΠΈΠΌΠΏΠ°ΠΊΡ‚-Ρ„Π°ΠΊΡ‚ΠΎΡ€Π° ΠΈ Π΅Π³ΠΎ Π²Π°Ρ€ΠΈΠ°Ρ†ΠΈΠΉ, ΠΎΡ‚Π½ΠΎΡΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠΉ цитируСмости, Ρ€Π°Π½Π³ΠΎΠ²Ρ‹Ρ… ΠΌΠ΅Ρ‚Ρ€ΠΈΠΊ, коэффициСнта нСцитируСмости, Β«Π²Π·Π²Π΅ΡˆΠ΅Π½Π½Ρ‹Ρ…Β» ΠΈΠ½Π΄ΠΈΠΊΠ°Ρ‚ΠΎΡ€ΠΎΠ² (собствСнный Ρ„Π°ΠΊΡ‚ΠΎΡ€, индСкс влияния ΡΡ‚Π°Ρ‚ΡŒΠΈ), индСкса Π₯ΠΈΡ€ΡˆΠ° ΠΈ ряда Β«Π₯ΠΈΡ€Ρˆ-ΠΏΠΎΠ΄ΠΎΠ±Π½Ρ‹Ρ…Β» ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ ΠΈ Π΄Ρ€. Π‘ΠΏΠ΅Ρ†ΠΈΠ°Π»ΡŒΠ½Ρ‹ΠΉ Ρ€Π°Π·Π΄Π΅Π» посвящСн показатСлям, Ρ…Π°Ρ€Π°ΠΊΡ‚Π΅Ρ€ΠΈΠ·ΡƒΡŽΡ‰ΠΈΠΌ хронологичСскоС распрСдСлСниС библиографичСских ссылок. ОсобСнноС Π²Π½ΠΈΠΌΠ°Π½ΠΈΠ΅ ΡƒΠ΄Π΅Π»Π΅Π½ΠΎ ΠΈΠ½Π΄ΠΈΠΊΠ°Ρ‚ΠΎΡ€Π°ΠΌ Π½ΠΎΡ€ΠΌΠ°Π»ΠΈΠ·ΠΎΠ²Π°Π½Π½ΠΎΠΉ цитируСмости, с Π½ΠΎΡ€ΠΌΠ°Π»ΠΈΠ·Π°Ρ†ΠΈΠ΅ΠΉ ΠΏΠΎ областям Π½Π°ΡƒΠΊΠΈ ΠΈ ΠΏΠΎ ΠΆΡƒΡ€Π½Π°Π»Π°ΠΌ, Π° Ρ‚Π°ΠΊΠΆΠ΅ ΠΈΡ… совокупному Π°Π½Π°Π»ΠΈΠ·Ρƒ. Π“Π»Π°Π²Π° содСрТит Π²Π²ΠΎΠ΄Π½ΡƒΡŽ Ρ‡Π°ΡΡ‚ΡŒ, Π² ΠΊΠΎΡ‚ΠΎΡ€ΠΎΠΉ ΠΈΠ·Π»Π°Π³Π°ΡŽΡ‚ΡΡ основы библиомСтричСского Π°Π½Π°Π»ΠΈΠ·Π° ΠΈ особСнности Π±Π°Π· Π΄Π°Π½Π½Ρ‹Ρ… Π½Π°ΡƒΡ‡Π½ΠΎΠ³ΠΎ цитирования. Π€ΠΈΠ½Π°Π»ΡŒΠ½Ρ‹ΠΉ Ρ€Π°Π·Π΄Π΅Π» ΠΏΠΎΠ΄Ρ‡Π΅Ρ€ΠΊΠΈΠ²Π°Π΅Ρ‚ Π½Π΅ΠΎΠ±Ρ…ΠΎΠ΄ΠΈΠΌΠΎΡΡ‚ΡŒ Π³Ρ€Π°ΠΌΠΎΡ‚Π½ΠΎΠΉ ΠΈ Π°ΠΊΠΊΡƒΡ€Π°Ρ‚Π½ΠΎΠΉ Ρ‚Ρ€Π°ΠΊΡ‚ΠΎΠ²ΠΊΠΈ библиомСтричСских ΠΈΠ½Π΄ΠΈΠΊΠ°Ρ‚ΠΎΡ€ΠΎΠ² ΠΏΡ€ΠΈ принятии административных Ρ€Π΅ΡˆΠ΅Π½ΠΈΠΉ, распрСдСлСнии Π³Ρ€Π°Π½Ρ‚ΠΎΠ², осущСствлСнии ΠΊΠ°Π΄Ρ€ΠΎΠ²ΠΎΠΉ ΠΏΠΎΠ»ΠΈΡ‚ΠΈΠΊΠΈ.This chapter examines bibliometric indicators related to citedness of journals, authors, research groups, institutions and whole countries. The introductory section deals with the basics of bibliometric analysis and features of citation databases. The author discusses the usage of various bibliometric indicators: the impact factor, average citedness, share of uncited papers, Eigenfactor and Article Influence Scores, Hirsch and Hirsch-type indices, and others. A special section investigates indicators of chronological distribution of references. Particular attention is paid to normalized indicators, including indicators normalized by research disciplines, as well as by publication sources. The final section emphasizes the importance of informed and reasonable use of bibliometric indicators in research policy-making, funding allocation, and faculty and research personnel recruitment

    Confidence and RISC: How Russian papers indexed in the national citation database Russian Index of Science Citation (RISC) characterize universities and research institutes

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    The paper analyses Russian Index of Science Citation (RISC), a national citation database. We continue our previous study (Moskaleva et al., 2018) and focus on difference between bibliometric indicators calculated on, so to say, ""the best"" journals, so called RISC Core, and those which take into account all Russian journals available. Such a difference may show focuses of insitutional actors on different document types, publication strategies etc

    Π‘Π°ΠΌΠΎΡ†ΠΈΡ‚ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΈ Π΅Π³ΠΎ влияниС Π½Π° ΠΎΡ†Π΅Π½ΠΊΡƒ Π½Π°ΡƒΡ‡Π½ΠΎΠΉ Π΄Π΅ΡΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΠΈ: ΠΎΠ±Π·ΠΎΡ€ Π»ΠΈΡ‚Π΅Ρ€Π°Ρ‚ΡƒΡ€Ρ‹. Π§Π°ΡΡ‚ΡŒ I

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    The author reviews publications on the problem of self-citation and resulting mispresentations at the stage bibliometric analysis. He introduces the definition of self-citation and its special cases, i. e. author’s, institutional, publisher’s and disciplinary. The formulas for general self-citation metrics, i. e. self-citation and self-citedness coefficients, are provided. The global publications on author’s, institutional, national and journal self-citation are reviewed thoroughly. The current concepts of the role and impact of self-citation on scientific activity assessment are generalized. On the basis of his analytical review, the author argues that the researchers obtain consensus on several aspects, e. g.: Π°) excessive and absent self-citation are both seen as pathologies; Π²) self-citation has insignificant impact on large research entities though this influence can be critical when analyzing contributions by individual authors; с) self-citation impact is well-expressed for scientific entities with weak bibliometric indicators, while the top scientists, organizations, journals, etc., get most of external links. The author examines the response of bibliometric indicators and databases to self-citation manipulations to adjust the indicators.Part I of the review is intended to define the basic concepts and terms and to examine the most popular author’s self-citation.ΠŸΡ€Π΅Π΄ΡΡ‚Π°Π²Π»Π΅Π½ ΠΎΠ±Π·ΠΎΡ€ Π»ΠΈΡ‚Π΅Ρ€Π°Ρ‚ΡƒΡ€Ρ‹, посвящённой влиянию самоцитирования ΠΈ Π²ΠΎΠ·Π½ΠΈΠΊΠ°ΡŽΡ‰ΠΈΠΌ ΠΎΡ‚ этого Π²ΠΎΠ·ΠΌΠΎΠΆΠ½Ρ‹ΠΌ искаТСниям ΠΏΡ€ΠΈ библиомСтричСском Π°Π½Π°Π»ΠΈΠ·Π΅. Вводится ΠΎΠ±ΠΎΠ±Ρ‰Ρ‘Π½Π½ΠΎΠ΅ ΠΎΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ самоцитирования ΠΈ Π΅Π³ΠΎ частных Π²Π°Ρ€ΠΈΠ°Π½Ρ‚ΠΎΠ²: авторского, ΠΈΠ½ΡΡ‚ΠΈΡ‚ΡƒΡ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ, странового, ΠΆΡƒΡ€Π½Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ, дисциплинарного, ΠΈΠ·Π΄Π°Ρ‚Π΅Π»ΡŒΡΠΊΠΎΠ³ΠΎ. ΠŸΡ€ΠΈΠ²Π΅Π΄Π΅Π½Ρ‹ Ρ„ΠΎΡ€ΠΌΡƒΠ»Ρ‹ основных ΠΌΠ΅Ρ‚Ρ€ΠΈΠΊ самоцитирования – коэффициСнтов самоцитирования ΠΈ самоцитируСмости. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½ΠΎ рассмотрСна мировая Π»ΠΈΡ‚Π΅Ρ€Π°Ρ‚ΡƒΡ€Π° ΠΏΠΎ авторскому, ΠΈΠ½ΡΡ‚ΠΈΡ‚ΡƒΡ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠΌΡƒ, страновому ΠΈ ΠΆΡƒΡ€Π½Π°Π»ΡŒΠ½ΠΎΠΌΡƒ ΡΠ°ΠΌΠΎΡ†ΠΈΡ‚ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΡŽ. ΠžΠ±ΠΎΠ±Ρ‰Π΅Π½Ρ‹ Ρ‚Π΅ΠΊΡƒΡ‰ΠΈΠ΅ взгляды Π½Π° Ρ€ΠΎΠ»ΡŒ ΠΈ влияниС самоцитирования ΠΏΡ€ΠΈ ΠΎΡ†Π΅Π½ΠΊΠ΅ Π½Π°ΡƒΡ‡Π½ΠΎΠΉ Π΄Π΅ΡΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΠΈ. ΠŸΡ€ΠΈ аналитичСском рассмотрСнии статСй, посвящённых ΡΠ°ΠΌΠΎΡ†ΠΈΡ‚ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΡŽ, выясняСтся, Ρ‡Ρ‚ΠΎ Ρƒ исслСдоватСлСй сущСствуСт консСнсус ΠΏΠΎ ряду ΠΏΠΎΠ·ΠΈΡ†ΠΈΠΉ, Π½Π°ΠΏΡ€ΠΈΠΌΠ΅Ρ€: Π°) ΠΏΠ°Ρ‚ΠΎΠ»ΠΎΠ³ΠΈΠ΅ΠΉ являСтся ΠΊΠ°ΠΊ Π³ΠΈΠΏΠ΅Ρ€Ρ‚Ρ€ΠΎΡ„ΠΈΡ€ΠΎΠ²Π°Π½Π½ΠΎΠ΅ самоцитированиС, Ρ‚Π°ΠΊ ΠΈ Π΅Π³ΠΎ отсутствиС; Π±) самоцитированиС ΠΌΠ°Π»ΠΎ влияСт Π½Π° ΠΎΡ†Π΅Π½ΠΊΡƒ ΠΊΡ€ΡƒΠΏΠ½Ρ‹Ρ… Π½Π°ΡƒΡ‡Π½Ρ‹Ρ… Π΅Π΄ΠΈΠ½ΠΈΡ†, Π½ΠΎ ΠΌΠΎΠΆΠ΅Ρ‚ Π±Ρ‹Ρ‚ΡŒ критичСским ΠΏΡ€ΠΈ Π°Π½Π°Π»ΠΈΠ·Π΅ ΠΎΡ‚Π΄Π΅Π»ΡŒΠ½Ρ‹Ρ… ΡƒΡ‡Ρ‘Π½Ρ‹Ρ…; Π²) влияниС самоцитирования Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ Π²Ρ‹Ρ€Π°ΠΆΠ΅Π½ΠΎ Ρƒ Π½Π°ΡƒΡ‡Π½Ρ‹Ρ… Π΅Π΄ΠΈΠ½ΠΈΡ† со слабыми библиомСтричСскими показатСлями, Π² Ρ‚ΠΎ врСмя ΠΊΠ°ΠΊ Ρ‚ΠΎΠΏΠΎΠ²Ρ‹Π΅ ΡƒΡ‡Ρ‘Π½Ρ‹Π΅, ΠΎΡ€Π³Π°Π½ΠΈΠ·Π°Ρ†ΠΈΠΈ, ΠΆΡƒΡ€Π½Π°Π»Ρ‹ ΠΈ Π΄Ρ€. ΠΏΠΎΠ»ΡƒΡ‡Π°ΡŽΡ‚ наибольшСС число ссылок ΠΈΠ·Π²Π½Π΅. РассмотрСно Ρ€Π΅Π°Π³ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ самих библиомСтричСских инструмСнтов ΠΈ Π±Π°Π· Π΄Π°Π½Π½Ρ‹Ρ… с Ρ†Π΅Π»ΡŒΡŽ ΠΊΠΎΡ€Ρ€Π΅ΠΊΡ‚ΠΈΡ€ΠΎΠ²ΠΊΠΈ ΠΈΠ½Π΄ΠΈΠΊΠ°Ρ‚ΠΎΡ€ΠΎΠ² Π² случаС манипулирования самоцитированиСм.ΠŸΡ€Π΅Π΄ΡΡ‚Π°Π²Π»Π΅Π½Π½Π°Ρ пСрвая Ρ‡Π°ΡΡ‚ΡŒ ΠΎΠ±Π·ΠΎΡ€Π° посвящСна ΠΎΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½ΠΈΡŽ основных понятий ΠΈ Ρ‚Π΅Ρ€ΠΌΠΈΠ½ΠΎΠ², Π° Ρ‚Π°ΠΊΠΆΠ΅ Ρ€Π°ΡΡΠΌΠΎΡ‚Ρ€Π΅Π½ΠΈΡŽ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ обсуТдаСмого ΠΈ распространённого Ρ‚ΠΈΠΏΠ° самоцитирования – авторского

    Π‘Π°ΠΌΠΎΡ†ΠΈΡ‚ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΈ Π΅Π³ΠΎ влияниС Π½Π° ΠΎΡ†Π΅Π½ΠΊΡƒ Π½Π°ΡƒΡ‡Π½ΠΎΠΉ Π΄Π΅ΡΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΠΈ: ΠΎΠ±Π·ΠΎΡ€ Π»ΠΈΡ‚Π΅Ρ€Π°Ρ‚ΡƒΡ€Ρ‹. Π§Π°ΡΡ‚ΡŒ II

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    This review summarizes papers which analyze the impact of self-citation on research evaluation. We introduce a generalized definition of self-citation and its variants: author, institutional, country, journal, discipline, and publisher selfcitation. Formulae of the basic self-citation measures are given, namely self-citing and self-cited rates. World literature on author, institutional, country, and journal self-citation is studied in more detail. Current views on the role and impact of self-citation are compiled and analyzed. It is found that there is a general consensus on some points: a) excessive self-citation and its total absence are both seen as pathological; b) self-citation has low impact on large research entities but may be critical for the analysis of individual researchers; c) share of self-citations is generally higher for entities with poor bibliometric performance, while top scientists, institutions, journals receive the majority of their citations from outside. This review also considers how bibliometric tools and databases respond to the challenge of possible manipulation by self-citations and how some bibliometric indicators are adjusted by them. The first part of the review presented here deals with the fundamental terms and definitions, and the most discussed and studied type of the self-citation, author self-citation.This second and final part of the review considers institutional, country and journal self-citation. It also examines new bibliometric indicators which adjust for self-citation.ΠŸΡ€Π΅Π΄ΡΡ‚Π°Π²Π»Π΅Π½ ΠΎΠ±Π·ΠΎΡ€ Π»ΠΈΡ‚Π΅Ρ€Π°Ρ‚ΡƒΡ€Ρ‹, посвящённой влиянию самоцитирования ΠΈ Π²ΠΎΠ·Π½ΠΈΠΊΠ°ΡŽΡ‰ΠΈΠΌ ΠΎΡ‚ этого Π²ΠΎΠ·ΠΌΠΎΠΆΠ½Ρ‹ΠΌ искаТСниям ΠΏΡ€ΠΈ библиомСтричСском Π°Π½Π°Π»ΠΈΠ·Π΅. Вводится ΠΎΠ±ΠΎΠ±Ρ‰Ρ‘Π½Π½ΠΎΠ΅ ΠΎΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ самоцитирования ΠΈ Π΅Π³ΠΎ частных Π²Π°Ρ€ΠΈΠ°Π½Ρ‚ΠΎΠ²: авторского, ΠΈΠ½ΡΡ‚ΠΈΡ‚ΡƒΡ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ, странового, ΠΆΡƒΡ€Π½Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ, дисциплинарного, ΠΈΠ·Π΄Π°Ρ‚Π΅Π»ΡŒΡΠΊΠΎΠ³ΠΎ. ΠŸΡ€ΠΈΠ²Π΅Π΄Π΅Π½Ρ‹ Ρ„ΠΎΡ€ΠΌΡƒΠ»Ρ‹ основных ΠΌΠ΅Ρ‚Ρ€ΠΈΠΊ самоцитирования – коэффициСнтов самоцитирования ΠΈ самоцитируСмости. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½ΠΎ рассмотрСна мировая Π»ΠΈΡ‚Π΅Ρ€Π°Ρ‚ΡƒΡ€Π° ΠΏΠΎ авторскому, ΠΈΠ½ΡΡ‚ΠΈΡ‚ΡƒΡ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠΌΡƒ, страновому ΠΈ ΠΆΡƒΡ€Π½Π°Π»ΡŒΠ½ΠΎΠΌΡƒ ΡΠ°ΠΌΠΎΡ†ΠΈΡ‚ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΡŽ. ΠžΠ±ΠΎΠ±Ρ‰Π΅Π½Ρ‹ Ρ‚Π΅ΠΊΡƒΡ‰ΠΈΠ΅ взгляды Π½Π° Ρ€ΠΎΠ»ΡŒ ΠΈ влияниС самоцитирования ΠΏΡ€ΠΈ ΠΎΡ†Π΅Π½ΠΊΠ΅ Π½Π°ΡƒΡ‡Π½ΠΎΠΉ Π΄Π΅ΡΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΠΈ. ΠŸΡ€ΠΈ аналитичСском рассмотрСнии статСй, посвящённых ΡΠ°ΠΌΠΎΡ†ΠΈΡ‚ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΡŽ, выясняСтся, Ρ‡Ρ‚ΠΎ Ρƒ исслСдоватСлСй сущСствуСт консСнсус ΠΏΠΎ ряду ΠΏΠΎΠ·ΠΈΡ†ΠΈΠΉ, Π½Π°ΠΏΡ€ΠΈΠΌΠ΅Ρ€: Π°) ΠΏΠ°Ρ‚ΠΎΠ»ΠΎΠ³ΠΈΠ΅ΠΉ являСтся ΠΊΠ°ΠΊ Π³ΠΈΠΏΠ΅Ρ€Ρ‚Ρ€ΠΎΡ„ΠΈΡ€ΠΎΠ²Π°Π½Π½ΠΎΠ΅ самоцитированиС, Ρ‚Π°ΠΊ ΠΈ Π΅Π³ΠΎ отсутствиС; Π±) самоцитированиС ΠΌΠ°Π»ΠΎ влияСт Π½Π° ΠΎΡ†Π΅Π½ΠΊΡƒ ΠΊΡ€ΡƒΠΏΠ½Ρ‹Ρ… Π½Π°ΡƒΡ‡Π½Ρ‹Ρ… Π΅Π΄ΠΈΠ½ΠΈΡ†, Π½ΠΎ ΠΌΠΎΠΆΠ΅Ρ‚ Π±Ρ‹Ρ‚ΡŒ критичСским ΠΏΡ€ΠΈ Π°Π½Π°Π»ΠΈΠ·Π΅ ΠΎΡ‚Π΄Π΅Π»ΡŒΠ½Ρ‹Ρ… ΡƒΡ‡Ρ‘Π½Ρ‹Ρ…; Π²) влияниС самоцитирования Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ Π²Ρ‹Ρ€Π°ΠΆΠ΅Π½ΠΎ Ρƒ Π½Π°ΡƒΡ‡Π½Ρ‹Ρ… Π΅Π΄ΠΈΠ½ΠΈΡ† со слабыми библиомСтричСскими показатСлями, Π² Ρ‚ΠΎ врСмя ΠΊΠ°ΠΊ Ρ‚ΠΎΠΏΠΎΠ²Ρ‹Π΅ ΡƒΡ‡Ρ‘Π½Ρ‹Π΅, ΠΎΡ€Π³Π°Π½ΠΈΠ·Π°Ρ†ΠΈΠΈ, ΠΆΡƒΡ€Π½Π°Π»Ρ‹ ΠΈ Π΄Ρ€. ΠΏΠΎΠ»ΡƒΡ‡Π°ΡŽΡ‚ наибольшСС число ссылок ΠΈΠ·Π²Π½Π΅. РассмотрСно Ρ€Π΅Π°Π³ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ самих библиомСтричСских инструмСнтов ΠΈ Π±Π°Π· Π΄Π°Π½Π½Ρ‹Ρ… с Ρ†Π΅Π»ΡŒΡŽ ΠΊΠΎΡ€Ρ€Π΅ΠΊΡ‚ΠΈΡ€ΠΎΠ²ΠΊΠΈ ΠΈΠ½Π΄ΠΈΠΊΠ°Ρ‚ΠΎΡ€ΠΎΠ² Π² случаС манипулирования самоцитированиСм.Вторая, Π·Π°ΠΊΠ»ΡŽΡ‡ΠΈΡ‚Π΅Π»ΡŒΠ½Π°Ρ Ρ‡Π°ΡΡ‚ΡŒ ΠΎΠ±Π·ΠΎΡ€Π° ΠΏΠΎΡΠ²ΡΡ‰Π΅Π½Π°Β ΠΈΠ½ΡΡ‚ΠΈΡ‚ΡƒΡ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠΌΡƒ, страновому ΠΈ ΠΆΡƒΡ€Π½Π°Π»ΡŒΠ½ΠΎΠΌΡƒ ΡΠ°ΠΌΠΎΡ†ΠΈΡ‚ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΡŽ, Π° Ρ‚Π°ΠΊΠΆΠ΅ ввСдСнию Π½ΠΎΠ²Ρ‹Ρ… библиомСтричСских ΠΈΠ½Π΄ΠΈΠΊΠ°Ρ‚ΠΎΡ€ΠΎΠ², Ρ‚Π°ΠΊ ΠΈΠ»ΠΈ ΠΈΠ½Π°Ρ‡Π΅ ΡƒΡ‡ΠΈΡ‚Ρ‹Π²Π°ΡŽΡ‰ΠΈΡ… Π½Π°Π»ΠΈΡ‡ΠΈΠ΅ самоцитирования

    Spark discharge synthesis of semiconductor nanoparticles for thick-film metal oxide gas sensors

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    Traditional methods of synthesis of metal-oxide gas sensing materials for semiconductor sensors are based on wet sol-gel processes. However, these processes lead to the formation of hydroxyl groups on the surface of oxide particles being responsible for the strong response of a sensing material to humidity. In this work, we investigated the possibility to synthesize metal-oxide materials with reduced sensitivity to water vapors. Dry synthesis of SnO2 nanoparticles was implemented in the gas phase by spark discharge, which allowed us to produce powder with specific surface area of about 40 m2/g after additional annealing at 610 Β°C. The drop of sensor resistance does not exceed 20%, when air humidity increases from 40 to 100%, whereas the response to 100 ppm of hydrogen is of a factor of 8 with very short response time of about 1 s
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