CiteNScope — Scholarly Index & Analytics
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CiteNScope / Analytics

Explore the evidence.
Understand the reach.

Research across participating journals · All insights follow your collection filters.

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OpenAlex coverage 100.0% · 5/5 recordsLast OpenAlex observation 21 Oct 2026, 07:22 UTC
PUBLICATIONS5In the selected collection
CROSSREF CITATIONS25/5 with known counts
OPENALEX CITATIONS25/5 with known counts
OPENALEX MEAN0.4Per article with a known count
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Output and reach

Publication activity alongside incoming citations.

Publication activity

Articles grouped by publication year

Publications

Hover over a year or focus the chart and use arrow keys to inspect values.

2026 is year to date. 0 undated publications excluded.

View data & coverage

Citations received

OpenAlex · year of the citing work

OpenAlex

Hover over a year or focus the chart and use arrow keys to inspect values.

2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.

View data & coverage

Research landscape

Leading affiliations and themes in this collection.

Full distributions & methodology ↓

Institutions

University of Pavia1University of Indonesia1University of Catania15/5 records with data

Countries

Italy5Indonesia15/5 records with data

Primary topics

Entrepreneurship Studies and Influences1Occupational Health and Safety Research1Market Dynamics and Volatility15/5 records with data
Two perspectives on citations

Follow the research impact

Independent sources. Clear time scales.

Lifetime citations by publication year

Crossref and OpenAlex · separate totals for the same publication cohorts

Hover over a year or focus the chart and use arrow keys to inspect values.

Latest lifetime totals, grouped by the cited article’s year. These are not citations received in that year.

View data & coverage

Citations received each year

OpenAlex · incoming citation links grouped by citing-work year

OpenAlex

Hover over a year or focus the chart and use arrow keys to inspect values.

2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.

View data & coverage
Annual history: 5/5 articles. Latest history observation: 2026-10-21T07:22:57.882098+00:00. Source totals are never added together.
Research side by side

Compare journals

Select journals to compare the same collection filters. Source totals stay separate. These measures describe research activity, not journal quality.

Leave all unchecked to include every matching journal. Selection affects only comparison charts.
Display range
International Journal of Finance & Banking StudiesInternational Journal of Research in Business and Social Science

Publications

Articles by publication year

View data & coverage

Crossref citations

Latest lifetime totals · grouped by publication year

View data & coverage

OpenAlex citations

Latest lifetime totals · grouped by publication year

View data & coverage

OpenAlex · Citations received

By year of the citing work · 2017–2026

View data & coverage

2026 is year to date. Crossref and OpenAlex lifetime charts share a citation scale. Unknown observations appear as gaps; known zero stays zero. Annual receipts use available OpenAlex histories and may not sum to lifetime totals. 0 undated publications excluded from publication-year charts.

Full analytics report All distributions, publications, comparisons & data provenance
5 MATCHING PUBLICATIONSExplore results →Export CSV ↓
INDEXED PUBLICATIONS5
CROSSREF CITATIONS2
CROSSREF · CITED PUBLICATIONS20.0%
CROSSREF · MEAN CITATIONS0.4

Crossref citation coverage: 5 / 5 publications (100.0%). Latest observation: 21 Oct 2026, 07:22 UTC. Means and percentages use records with known counts.

OpenAlex / Separate citation source

A broader view of this research

DOI-matched OpenAlex observations for the same selected publications. These counts are separate from Crossref and are never added together.

OPENALEX CITATIONS2
DOI MATCH COVERAGE100.0%5 / 5 publications
MEAN · KNOWN COUNTS ONLY0.45 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY0

Observation range: 21 Oct 2026 00:22 UTC — 21 Oct 2026 07:22 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.

OpenAlex citation distributionNo citations41–516–20021+0Unknown0

Institutions, countries & topics

OpenAlex affiliations and primary-topic classification. Each publication counts once per institution or country; multi-affiliated publications appear in multiple groups, so percentages can sum above 100%. Countries describe author affiliations, not nationality. Topics use one primary topic per publication.

Institutions

5 / 5 with data · 0 missing or unmatched. Percentages use all 5 selected publications.

Countries

5 / 5 with data · 0 missing or unmatched. Percentages use all 5 selected publications.

Primary topics

5 / 5 with data · 0 missing or unmatched. Percentages use all 5 selected publications.

Citation year / OpenAlex

Citations received over time

Incoming citations to the selected publications, grouped by the year of the citing work. This is separate from lifetime citation totals grouped by the cited article’s publication year.

The publication filters above define which articles receive the citations. The citation-year range below only controls this chart and the incoming-citation comparison. Removing publication-year filters includes older articles’ incoming citations too.

Annual history available for 5 / 5 selected publications. Supported display window: 2017–2026; 2026 is incomplete. Within a successfully fetched ten-year window, omitted years mean zero. Missing histories and years beyond a saved observation’s window remain unknown (—); partial coverage can understate totals.

Annual-history observations (UTC): 2026-10-21T00:22:06.117042+00:00 — 2026-10-21T07:22:57.882098+00:00. Older observations may be retained after failed or incomplete refreshes.

OpenAlex · Citations received by year

21.00 2017 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 5/52018 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 5/52019 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 5/52020 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 5/52021 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 5/52022 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 5/52023 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 5/52024 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 5/52025 · All selected publications · OpenAlex · Citations received by year: 2 · Annual history coverage 5/52026 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 5/5 2017201820192020202120222023202420252026
View openalex · citations received by year data & coverage
Citation yearJournal / scopeOpenAlex · Citations received by yearPublicationsAnnual history known
2017All selected publications055/5
2018All selected publications055/5
2019All selected publications055/5
2020All selected publications055/5
2021All selected publications055/5
2022All selected publications055/5
2023All selected publications055/5
2024All selected publications055/5
2025All selected publications255/5
2026All selected publications055/5

Counts represent citation links, not unique citing papers across a journal: one paper citing two selected articles contributes two links. Older citations outside this window are excluded, so annual sums need not equal lifetime totals. OpenAlex methodology ↗

Crossref citation distribution

Latest Crossref totals for the selected publications; not citations received in the selected years.

Mean0.4
Median0
No citations41–516–20021+0Unknown0

Unknown counts are excluded from the mean, median and cited-publication rate.

Journal comparison

Same filters, source and counting rules across journals. Descriptive statistics, not a quality ranking.

Journal / publisherPublicationsCrossref citationsOpenAlex citationsOpenAlex coverageCrossref meanCrossref medianCrossref cited %*Crossref coverage
International Journal of Finance & Banking Studies
SSBFNET
1001/10.000.01/1 · 100.0%
International Journal of Research in Business and Social Science
SSBFNET
4224/40.50.025.04/4 · 100.0%

* Percentage among publications with a known citation count.

Explore publications

View all 5 →

Most cited · Crossref

JOURNAL ARTICLE

Comprehensive analysis of occupational accidents contributing factors in the electrical industry

Nurul Firda Yuliani · Athor Subroto

International Journal of Research in Business and Social Science · 2023

Read abstract

This research investigates the linkages between the contributing factors of occupational accidents in the electrical industry, i.e., the business unit factor, the time of accidents, the level of injuries, the gender, and the day when occurred. The research also analyzes the linkage between the contributing factors of accidents to the occurrence of occupational accidents. The research method employed crosstab analysis as a quantitative technique through reports of occupational accidents, especially in the Indonesia Electrical Industry. Moreover, dummy variable regression is utilized to analyze the impact of contributing factors on the likelihood of work accidents. The results show that there is no significant statistical relationship between the contributing factors of occupational accidents, namely the business unit to the level of injury, the business unit to the day, the time of the accident to the level of injury, the time of the accident to the day, and the level of injury to the day. This research also finds that the significant variable in occupational accidents is the type of generation unit. As for the variable type of injury and the days, both are not proven to correlate statistically. This study can help the electrical industry improve occupational health and safety (OHS) performance through analysis to optimize the company's resources. The Management of the electrical company can allocate the right policy to increase OHS operational performance. This research integrates the identifying significant factors of occupational accidents and analyses their linkage, which can help guide future research in this area.

DOI 10.20525/ijrbs.v12i4.26352 Crossref citations2 OpenAlex citations
JOURNAL ARTICLE

Commodity Pricing through Crises

Giulio Cifarelli

International Journal of Finance & Banking Studies · 2025

Read abstract

The pricing of six highly liquid futures commodity contracts is investigated using a Markov switching procedure. The data set spans an exceptionally turbulent period, characterized by a complex interplay of economic/financial and political shocks. Markov switching analysis exploits time series nonlinearity to identify the nature and the timing of the implicit changes of regime. Building on a HAM framework, we use the time varying parameterization of the transition probability estimates to link these shifts to exogenous variables. We provide in this way additional information on the co-movement of the time series and on their regime shifts, eventually conducive to herding pricing behaviour. The WTI oil futures price and DJIA stock index are used as proxies for global shocks as they turn out to be the main common drivers of the changes in regime of most futures commodity prices.   

DOI 10.20525/ijfbs.v14i3.40570 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Culture of health as a strategy for designing and developing corporate welfare models

Valeria Domenica Tozzi · Guglielmo Pacileo

International Journal of Research in Business and Social Science · 2024

Read abstract

Improving population health requires the commitment of a multitude of community partners, including employers. Since 2008, successive economic crises have reduced the national health system's capacity to meet the needs of its citizens in Italy. ENI is an Italian oil company employing over 31,000 people in nearly 62 countries. In the Italian community of ENI, there are about 20,000 employees. Between 2022 and 2023, ENI made relevant services and goods available for each employee. This work aims to identify a framework to measure the culture of health in ENI. It is the first step in developing an in-depth analysis of the culture of health in ENI, which will be the subject of in-depth studies after this work. Today, promoting health cannot be the sole purpose of public healthcare systems in Western contexts. Italy is an emblematic context of these phenomena. The development of the corporate welfare case in ENI is an opportunity to reflect on the evolution of private expenditure concerning the interventions promoted by a multinational oil and gas company such as ENI towards its employees. In all this, the culture of health represents a valid approach to the design and the evolution of corporate welfare models over time. The idea of the culture of health is an essential framework that can support why companies must work towards complementarity in providing services and interdependence with public health systems. By incorporating strategies such as inclusive health education, community engagement and partnering with public health systems to address social determinants of health, companies can contribute to building a culture of health rooted in equity, providing employees with the resources and support needed for a better and more equitable life.

DOI 10.20525/ijrbs.v13i6.34940 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Local context and firms creation

Mariasole Bannò · Giorgia Maria D'Allura

International Journal of Research in Business and Social Science · 2020

Read abstract

This paper explores Italy’s biotech industry. This is the case of a new industry formation in a hostile institutional context. Our goal is two-fold. First, it is to extend our understanding of the role of institutions on firm formation and industry creation. Second, it is to offer prescriptive evidence for those regions that are trying to encourage entrepreneurship in innovative industries or increment existing systems of innovations. We adopt the interpretative lenses of the institutional theory. Our work aims to discuss the role that institutions (by the meaning of regulations, policies, and fiscal measures) provide to the development and change of industries around the world. We offer a comparison between Italy and other European countries in order to advise rules and suggestions to improve the competitiveness of the Italian biotech industry and firm formation. We recognize that the Italian institutional context is hostile to new industry creation because the rules and regulations do not support new firm formation. Moreover, Italy represents a context that shows a high level of risk aversion to radical innovation such as biotechnology.   

DOI 10.20525/ijrbs.v9i5.8320 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Linking science-based firms with performance factors

Andrea Setti

International Journal of Research in Business and Social Science · 2020

Read abstract

Science-based firms (SBFs) are venture or corporation based on the development and commercialization of scientific discoveries that are exposed to the unique challenge to handle together business and science. Despite extensive efforts in the attempt to identify those factors that lead to the success of an SBFs the adoption of different definitions and names resulted in a lack of comprehensive picture on the determinants of SBFs' performances. With the objective to review the extant literature on SBFs’ performances and to understand what are the most appropriate parameters to evaluate an SBF, a systematic literature review adopting a comprehensive definition of SBFs was performed. The review, adopting an integrative approach, identified 30 papers published in top journals whose research questions deal with the determinants of SBFs' performances. Findings showed that determinants widely used such as net income within profitability measures, do not fully reflect SBFs performances and innovation abilities should be further investigated. Moreover, preconceived factors such as location and size have low or no impact on SBFs which opens the debate for more investigation. Also, the review identifies a comprehensive and multi-level set of determinants which allows delineating a number of research questions to be addressed in future research.

DOI 10.20525/ijrbs.v9i2.6480 Crossref citations0 OpenAlex citations

Selected results

JOURNAL ARTICLE

Commodity Pricing through Crises

Giulio Cifarelli

International Journal of Finance & Banking Studies · 2025

Read abstract

The pricing of six highly liquid futures commodity contracts is investigated using a Markov switching procedure. The data set spans an exceptionally turbulent period, characterized by a complex interplay of economic/financial and political shocks. Markov switching analysis exploits time series nonlinearity to identify the nature and the timing of the implicit changes of regime. Building on a HAM framework, we use the time varying parameterization of the transition probability estimates to link these shifts to exogenous variables. We provide in this way additional information on the co-movement of the time series and on their regime shifts, eventually conducive to herding pricing behaviour. The WTI oil futures price and DJIA stock index are used as proxies for global shocks as they turn out to be the main common drivers of the changes in regime of most futures commodity prices.   

DOI 10.20525/ijfbs.v14i3.40570 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Culture of health as a strategy for designing and developing corporate welfare models

Valeria Domenica Tozzi · Guglielmo Pacileo

International Journal of Research in Business and Social Science · 2024

Read abstract

Improving population health requires the commitment of a multitude of community partners, including employers. Since 2008, successive economic crises have reduced the national health system's capacity to meet the needs of its citizens in Italy. ENI is an Italian oil company employing over 31,000 people in nearly 62 countries. In the Italian community of ENI, there are about 20,000 employees. Between 2022 and 2023, ENI made relevant services and goods available for each employee. This work aims to identify a framework to measure the culture of health in ENI. It is the first step in developing an in-depth analysis of the culture of health in ENI, which will be the subject of in-depth studies after this work. Today, promoting health cannot be the sole purpose of public healthcare systems in Western contexts. Italy is an emblematic context of these phenomena. The development of the corporate welfare case in ENI is an opportunity to reflect on the evolution of private expenditure concerning the interventions promoted by a multinational oil and gas company such as ENI towards its employees. In all this, the culture of health represents a valid approach to the design and the evolution of corporate welfare models over time. The idea of the culture of health is an essential framework that can support why companies must work towards complementarity in providing services and interdependence with public health systems. By incorporating strategies such as inclusive health education, community engagement and partnering with public health systems to address social determinants of health, companies can contribute to building a culture of health rooted in equity, providing employees with the resources and support needed for a better and more equitable life.

DOI 10.20525/ijrbs.v13i6.34940 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Comprehensive analysis of occupational accidents contributing factors in the electrical industry

Nurul Firda Yuliani · Athor Subroto

International Journal of Research in Business and Social Science · 2023

Read abstract

This research investigates the linkages between the contributing factors of occupational accidents in the electrical industry, i.e., the business unit factor, the time of accidents, the level of injuries, the gender, and the day when occurred. The research also analyzes the linkage between the contributing factors of accidents to the occurrence of occupational accidents. The research method employed crosstab analysis as a quantitative technique through reports of occupational accidents, especially in the Indonesia Electrical Industry. Moreover, dummy variable regression is utilized to analyze the impact of contributing factors on the likelihood of work accidents. The results show that there is no significant statistical relationship between the contributing factors of occupational accidents, namely the business unit to the level of injury, the business unit to the day, the time of the accident to the level of injury, the time of the accident to the day, and the level of injury to the day. This research also finds that the significant variable in occupational accidents is the type of generation unit. As for the variable type of injury and the days, both are not proven to correlate statistically. This study can help the electrical industry improve occupational health and safety (OHS) performance through analysis to optimize the company's resources. The Management of the electrical company can allocate the right policy to increase OHS operational performance. This research integrates the identifying significant factors of occupational accidents and analyses their linkage, which can help guide future research in this area.

DOI 10.20525/ijrbs.v12i4.26352 Crossref citations2 OpenAlex citations
JOURNAL ARTICLE

Local context and firms creation

Mariasole Bannò · Giorgia Maria D'Allura

International Journal of Research in Business and Social Science · 2020

Read abstract

This paper explores Italy’s biotech industry. This is the case of a new industry formation in a hostile institutional context. Our goal is two-fold. First, it is to extend our understanding of the role of institutions on firm formation and industry creation. Second, it is to offer prescriptive evidence for those regions that are trying to encourage entrepreneurship in innovative industries or increment existing systems of innovations. We adopt the interpretative lenses of the institutional theory. Our work aims to discuss the role that institutions (by the meaning of regulations, policies, and fiscal measures) provide to the development and change of industries around the world. We offer a comparison between Italy and other European countries in order to advise rules and suggestions to improve the competitiveness of the Italian biotech industry and firm formation. We recognize that the Italian institutional context is hostile to new industry creation because the rules and regulations do not support new firm formation. Moreover, Italy represents a context that shows a high level of risk aversion to radical innovation such as biotechnology.   

DOI 10.20525/ijrbs.v9i5.8320 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Linking science-based firms with performance factors

Andrea Setti

International Journal of Research in Business and Social Science · 2020

Read abstract

Science-based firms (SBFs) are venture or corporation based on the development and commercialization of scientific discoveries that are exposed to the unique challenge to handle together business and science. Despite extensive efforts in the attempt to identify those factors that lead to the success of an SBFs the adoption of different definitions and names resulted in a lack of comprehensive picture on the determinants of SBFs' performances. With the objective to review the extant literature on SBFs’ performances and to understand what are the most appropriate parameters to evaluate an SBF, a systematic literature review adopting a comprehensive definition of SBFs was performed. The review, adopting an integrative approach, identified 30 papers published in top journals whose research questions deal with the determinants of SBFs' performances. Findings showed that determinants widely used such as net income within profitability measures, do not fully reflect SBFs performances and innovation abilities should be further investigated. Moreover, preconceived factors such as location and size have low or no impact on SBFs which opens the debate for more investigation. Also, the review identifies a comprehensive and multi-level set of determinants which allows delineating a number of research questions to be addressed in future research.

DOI 10.20525/ijrbs.v9i2.6480 Crossref citations0 OpenAlex citations

Data coverage & freshness

Source coverage refers to this result set; a publication may occur in several sources. Sync times refer to contributing journals.

Missing abstracts: 0 · Missing authors: 0 · Missing publication dates: 0 · Dates without day precision: 0

SourceMost recent successful journal syncLatest attempt
crossref21 Oct 2026 07:22 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 07:22 UTC
ojs-rest21 Oct 2026 07:22 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 06:46 UTC
oai-pmh20 Oct 2026 19:56 UTC · ijfbscomplete · ijfbs · 20 Oct 2026 19:55 UTC
openalex-enrichment21 Oct 2026 07:23 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 07:22 UTC
Full import history & methodology →