Author-related factors predicting citation counts of conference papers: focusing on computer and information science

Lee, Danielle

doi:10.1108/el-10-2019-0253

Cited by 7 publications

(8 citation statements)

References 38 publications

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“…Another study by Lee (2020) analyzes 12,237 papers published in 28 conference series in the Computer Science field. The paper analyzes the predictive power of 21 factors related to the first author and to all authors on citation counts of conference papers.…”

Section: Lht 412mentioning

confidence: 99%

“…Goel et al. , 2015; Lee, 2019, 2020), and none of them analyzed the relation between the touristicity of a conference venue and quantitative indexes of the impact of research papers presented at conferences.…”

Section: Introductionmentioning

confidence: 99%

“…However, only a few recent works studied the relation between these factors and the impact of conferences (e.g. Goel et al, 2015;Lee, 2019Lee, , 2020, and none of them analyzed the relation between the touristicity of a conference venue and quantitative indexes of the impact of research papers presented at conferences.…”

Section: Introductionmentioning

confidence: 99%

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Does the venue of scientific conferences leverage their impact? A large scale study on Computer Science conferences

Bedogni

Cabri

Poggi

2022

LHT

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PurposeConferences bring scientists together and provide one of the most timely means for disseminating new ideas and cutting-edge works. The importance of conferences in many scientific areas is testified by quantitative indexes. The main goal of this paper is to investigate a novel research question: is there any correlation between the impact of scientific conferences and the venue where they took place?Design/methodology/approachTo measure the impact of conferences, the authors conducted a large scale analysis on the bibliographic data extracted from 3,838 Computer Science conference series and over 2.5 million papers spanning more than 30 years of research. To quantify the “touristicity'' of a venue, the authors exploited indexes about the attractiveness of a venue from reports of the World Economic Forum, and have extracted four country-wide and two city-wide touristic indexes, which measure the attractiveness and the touristicity of any country or city.FindingsThe authors found out that the two aspects are related, and the correlation with conference impact is stronger when considering country-wide touristic indexes, achieving a correlation value of more than 0.5 when considering the average citations, and more than 0.8 when considering the total citations. Moreover the almost linear correlation with the Tourist Service Infrastructure index attests the specific importance of tourist/accommodation facilities in a given country.Research limitations/implicationsThere are two main limitations of this work: (1) the use of citations to evaluate the attractiveness of the conferences and (2) the difficulty to formally define the touristic attractiveness of a venue.Practical implicationsStarting from the results concerning the correlation between different touristicity indicators and the outcome of a conference in terms of citations, it would be possible to support conference organizers in their decisions. For instance, they could plan in advance conference venues considering the same touristicity indicators, comparing different options and selecting cities which have high scores. This will allow for rapid planning of a conference venue, encompassing the easiness of travel and the attractivity of a venue, hence increasing the potential outcomes of the conference.Social implicationsRegarding the social implications, this study will enable the possibility for municipalities and conference organizers to understand what it can be improved in a specific venue to make it more attractive. This may include better transport connections or selecting cities which show a high potential regarding the touristicity index. Regarding the willingness of a researcher to submit a paper to a specific conference, it would be unaltered, meaning that what the results show is that there is already a mental process, before submitting a paper to a conference, which considers these indicators.Originality/valueThis is the first attempt to focus on the relationship of venue characteristics to conference papers. The results open up new possibilities, such as supporting conference organizers in their organization efforts.

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Section: Lht 412mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Does the venue of scientific conferences leverage their impact? A large scale study on Computer Science conferences

Bedogni

Cabri

Poggi

2022

LHT

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“…However, only a few recent works studied the relation between these factors and the impact of conferences (e.g. Goel et al (2015); Lee (2020Lee ( , 2019), and none of them analyzed the relation between the touristicity of a conference venue and quantitative indicators of the impact of research papers presented at conferences.…”

Section: R a F Tmentioning

confidence: 99%

“…Another study by Lee (2020) analyze 12,237 papers published in 28 conference series in the Computer Science field. The paper analyzes the predictive power of 21 factors related to the first author and to all authors on citation counts of conference papers.…”

Section: R a F Tmentioning

confidence: 99%

Does the Venue of Scientific Conferences Leverage their Impact? A Large Scale study on Computer Science Conferences

Bedogni,

Cabri,

Martoglia

et al. 2021

Preprint

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Background: Conferences bring scientists together and provide one of the most timely means for disseminating new ideas and cutting-edge works. The importance of conferences in scientific areas is testified by quantitative indicators. In Computer Science, for instance, almost two out of three papers published on Scopus are conference papers.Objective/Purpose: The main goal of this paper is to investigate a novel research question: is there any correlation between the impact of a scientific conference and the venue where it took place?Approach: In order to measure the impact of conferences we conducted a large scale analysis on the bibliographic data extracted from 3,838 Computer Science conference series and over 2.5 million papers spanning more than 30 years of research. To quantify the "touristicity" of a venue we exploited some indicators such as the size of the Wikipedia page for the city hosting the venue and other indexes from reports of the World Economic Forum.Results/Findings: We found out that the two aspects are related, and the correlation with conference impact is stronger when considering country-wide touristic indicators, such as the Travel&Tourism Competitiveness Index. Moreover the almost linear correlation with the Tourist Service Infrastructure index attests the specific importance of tourist/accommodation facilities in a given country.Conclusions: This is the first attempt to focus on the relationship of venue characteristics to conference papers. The results open up new possibilities,

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Factors associating with or predicting more cited or higher quality journal articles: An Annual Review of Information Science and Technology (ARIST) paper

Kousha

Thelwall

2023

Asso for Info Science & Tech

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Identifying factors that associate with more cited or higher quality research may be useful to improve science or to support research evaluation. This article reviews evidence for the existence of such factors in article text and metadata. It also reviews studies attempting to estimate article quality or predict long‐term citation counts using statistical regression or machine learning for journal articles or conference papers. Although the primary focus is on document‐level evidence, the related task of estimating the average quality scores of entire departments from bibliometric information is also considered. The review lists a huge range of factors that associate with higher quality or more cited research in some contexts (fields, years, journals) but the strength and direction of association often depends on the set of papers examined, with little systematic pattern and rarely any cause‐and‐effect evidence. The strongest patterns found include the near universal usefulness of journal citation rates, author numbers, reference properties, and international collaboration in predicting (or associating with) higher citation counts, and the greater usefulness of citation‐related information for predicting article quality in the medical, health and physical sciences than in engineering, social sciences, arts, and humanities.

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Author-related factors predicting citation counts of conference papers: focusing on computer and information science

Cited by 7 publications

References 38 publications

Does the venue of scientific conferences leverage their impact? A large scale study on Computer Science conferences

Does the venue of scientific conferences leverage their impact? A large scale study on Computer Science conferences

Does the Venue of Scientific Conferences Leverage their Impact? A Large Scale study on Computer Science Conferences

Factors associating with or predicting more cited or higher quality journal articles: An Annual Review of Information Science and Technology (ARIST) paper

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