CiteNScope — Scholarly Index & Analytics
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Research across participating journals · All insights follow your collection filters.

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OpenAlex coverage 100.0% · 4/4 recordsLast OpenAlex observation 22 Oct 2026, 05:57 UTC
PUBLICATIONS4In the selected collection
CROSSREF CITATIONS24/4 with known counts
OPENALEX CITATIONS74/4 with known counts
OPENALEX MEAN1.75Per article with a known count
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institution: Institut Teknologi Sepuluh Nopember Remove ×
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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.

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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.

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Research landscape

Leading affiliations and themes in this collection.

Full distributions & methodology ↓

Institutions

Institut Teknologi Sepuluh Nopember4State University of Malang1Universitas Madura14/4 records with data

Countries

Indonesia44/4 records with data

Primary topics

Climate change impacts on agriculture1Financial Analysis and Corporate Governance1COVID-19 Prevention and Impact14/4 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: 4/4 articles. Latest history observation: 2026-10-22T05:57:21.888101+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
4 MATCHING PUBLICATIONSExplore results →Export CSV ↓
INDEXED PUBLICATIONS4
CROSSREF CITATIONS2
CROSSREF · CITED PUBLICATIONS50.0%
CROSSREF · MEAN CITATIONS0.5

Crossref citation coverage: 4 / 4 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 CITATIONS7
DOI MATCH COVERAGE100.0%4 / 4 publications
MEAN · KNOWN COUNTS ONLY1.754 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY1.5

Observation range: 22 Oct 2026 01:43 UTC — 22 Oct 2026 05:57 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.

OpenAlex citation distributionNo citations21–526–20021+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

4 / 4 with data · 0 missing or unmatched. Percentages use all 4 selected publications.

Countries

4 / 4 with data · 0 missing or unmatched. Percentages use all 4 selected publications.

Primary topics

4 / 4 with data · 0 missing or unmatched. Percentages use all 4 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 4 / 4 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): 2026-10-22T01:43:25.841945+00:00 — 2026-10-22T05:57:21.888101+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 4/42018 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 4/42019 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 4/42020 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 4/42021 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 4/42022 · All selected publications · OpenAlex · Citations received by year: 2 · Annual history coverage 4/42023 · All selected publications · OpenAlex · Citations received by year: 2 · Annual history coverage 4/42024 · All selected publications · OpenAlex · Citations received by year: 1 · Annual history coverage 4/42025 · All selected publications · OpenAlex · Citations received by year: 2 · Annual history coverage 4/42026 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 4/4 2017201820192020202120222023202420252026
View openalex · citations received by year data & coverage
Citation yearJournal / scopeOpenAlex · Citations received by yearPublicationsAnnual history known
2017All selected publications044/4
2018All selected publications044/4
2019All selected publications044/4
2020All selected publications044/4
2021All selected publications044/4
2022All selected publications244/4
2023All selected publications244/4
2024All selected publications144/4
2025All selected publications244/4
2026All selected publications044/4

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.

Mean0.5
Median0.5
No citations21–526–20021+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
3273/30.67166.73/3 · 100.0%

* Percentage among publications with a known citation count.

Explore publications

View all 4 →

Most cited · Crossref

JOURNAL ARTICLE

Mapping model for target achievement of village SDGs using the Ensemble ROCK method

Agnes Tuti Rumiati · Nadhifa Zulfa Salsabila · Annisa Raina Nabilah T · Henni Jovita Sari

International Journal of Research in Business and Social Science · 2022

Read abstract

Sustainable Development Goals (SDGs) are a set of goals for sustainable development which are consist of 17 goals that are expected to be achieved by 2030. 91% of Indonesia's territory is a rural area, consisting of more than 17,000 islands, almost 7500 villages. The villages contribute about 74% to the achievement of the national SDGs. Indonesia implements The Village SDGs which have 18 goals. The 18th goal is to achieve dynamic village institutions and adaptive village culture designed to accommodate various local cultures that characterize village management and are still applied by the community. Almost all district in Indonesia do not yet have a mapping of the status of achieving the Village SDGs. It will be easier for the district government to prioritize village development programs according to the needs of each village. In this study, research variables that measure 17 village goals will be used and grouped into 4 aspects, namely economic aspects, environmental aspects, health and education aspects and welfare aspects. Because village SDGs data is a mixture of numeric and categorical, ROCK ensemble analysis is used which is a grouping method for mixed data. In this study, it was found that the majority of villages in Sidoarjo Regency were still lagging behind in the fields of economy, health, education, and community welfare. This can be seen in the number of villages that are included in the low group based on the results of the analysis.

DOI 10.20525/ijrbs.v11i1.15671 Crossref citations3 OpenAlex citations
JOURNAL ARTICLE

Analysis of changes in public behavior regarding 3M health protocols during the Covid-19 pandemic in Indonesia

Agnes Tuti Rumiati · Dedy Dwi Prastyo · Sonny Harry B. Harmadi · Nur Achmey Selgi Harwanti

International Journal of Research in Business and Social Science · 2021

Read abstract

The Covid-19 pandemic has occurred in Indonesia since March 2020. The pandemic period required adjustments in all sectors of life, including changes in people's behavior, namely spending more time at home. Changes in people’s behavior are needed to break the chain of Covid-19 transmissions, one of which is the implementation of Health protocols. Research on the behavior of the Indonesian people in dealing with the Covid-19 pandemic includes public knowledge and understanding, compliance in implementing the 3M health protocols, and the important factors that influence changes in people's behavior to comply with the health protocol. Data was collected by distributing online questionnaires, surveys to crowd locations and FGDs. National online and offline surveys are divided into 3 regions, namely Java, West Indonesia and East Indonesia. The analysis was carried out using statistical methods, namely dependency analysis, factor analysis, and multinomial regression. The conclusion is that people who have implemented the 3M protocol and have confidence in the effectiveness of 3M tend to believe that the 3M protocol is important to continue to be implemented. In addition, it is known that social media, TV, and online media almost always ranked in the top three of the most media respondents to get information about the importance of implementing health protocols.  

DOI 10.20525/ijrbs.v10i5.13041 Crossref citations4 OpenAlex citations
JOURNAL ARTICLE

Analyzing Liability Structure in Shaping Financial Performance

Imam Muhklis · Nila Cahayati · Rachman Hakim · Nimas Candhyta Maharani

International Journal of Finance & Banking Studies · 2025

Read abstract

Capital financing plays a crucial role in sustaining the growth potential of pharmaceutical companies, enabling them to expand operations and compete effectively in the market. In the face of a slowing global economy, maintaining solid financial performance across existing business lines becomes increasingly important. This study aims to examine the relationship between capital structure and the financial performance of pharmaceutical companies in Indonesia. The research sample consists of nine publicly listed pharmaceutical firms over the period 2013–2023. The empirical analysis employs three panel data estimation approaches—Pooled Ordinary Least Squares (Pooled OLS), Fixed Effects Model (FEM), and Random Effects Model (REM)—to account for different assumptions about unobserved firm-specific characteristics. Based on the Hausman test, FEM is determined as the most suitable model for the dataset. The estimation results reveal that the Long-term Debt to Total Assets (LDTA) ratio exerts a statistically significant negative effect on Return on Assets (ROA), indicating that a higher proportion of long-term debt tends to reduce profitability. Conversely, the Short-term Debt to Total Assets (SDTA) and Total Debt to Total Equity (TDTE) ratios have positive but statistically insignificant impacts on ROA, suggesting that neither short-term liabilities nor overall leverage significantly influence profitability in the observed period. These results imply that excessive reliance on long-term borrowing can impose interest burdens and financial constraints, thereby weakening performance. Consequently, financial managers in the pharmaceutical sector are encouraged to optimize their financing structure, prioritizing internal funds or short-term financing sources that align with operational needs and market conditions to sustain profitability and ensure long-term competitiveness.

DOI 10.20525/ijfbs.v14i3.44020 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Analysis of Factors Influencing the Usage of Seasonal Forecast in Drought Prone Area

Heri Kuswanto

International Journal of Research in Business and Social Science · 2019

Read abstract

This research aims to investigate the factors influencing the households in East Nusa Tenggara (NTT) Indonesia to use seasonal forecast issued by the Meteorological Office (BMKG) Indonesia. NTT is a highly vulnerable region to drought, and hence, understanding the weather and climate condition is a crucial issue. Household survey was conducted to interview 300 households in NTT asking about their intention to utilize the forecast information in supporting their livelihood. Furthermore, this research investigates whether the households characteristics influencing the intention. Using the Classification and Regression Tree (CART), we found that the intention to use forecast is dominantly influenced by age of the household head, ownership of household assets, main source of income, crop and livestock activities and water source for livestock.

DOI 10.20525/ijrbs.v8i3.2540 Crossref citations0 OpenAlex citations

Selected results

JOURNAL ARTICLE

Analyzing Liability Structure in Shaping Financial Performance

Imam Muhklis · Nila Cahayati · Rachman Hakim · Nimas Candhyta Maharani

International Journal of Finance & Banking Studies · 2025

Read abstract

Capital financing plays a crucial role in sustaining the growth potential of pharmaceutical companies, enabling them to expand operations and compete effectively in the market. In the face of a slowing global economy, maintaining solid financial performance across existing business lines becomes increasingly important. This study aims to examine the relationship between capital structure and the financial performance of pharmaceutical companies in Indonesia. The research sample consists of nine publicly listed pharmaceutical firms over the period 2013–2023. The empirical analysis employs three panel data estimation approaches—Pooled Ordinary Least Squares (Pooled OLS), Fixed Effects Model (FEM), and Random Effects Model (REM)—to account for different assumptions about unobserved firm-specific characteristics. Based on the Hausman test, FEM is determined as the most suitable model for the dataset. The estimation results reveal that the Long-term Debt to Total Assets (LDTA) ratio exerts a statistically significant negative effect on Return on Assets (ROA), indicating that a higher proportion of long-term debt tends to reduce profitability. Conversely, the Short-term Debt to Total Assets (SDTA) and Total Debt to Total Equity (TDTE) ratios have positive but statistically insignificant impacts on ROA, suggesting that neither short-term liabilities nor overall leverage significantly influence profitability in the observed period. These results imply that excessive reliance on long-term borrowing can impose interest burdens and financial constraints, thereby weakening performance. Consequently, financial managers in the pharmaceutical sector are encouraged to optimize their financing structure, prioritizing internal funds or short-term financing sources that align with operational needs and market conditions to sustain profitability and ensure long-term competitiveness.

DOI 10.20525/ijfbs.v14i3.44020 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Mapping model for target achievement of village SDGs using the Ensemble ROCK method

Agnes Tuti Rumiati · Nadhifa Zulfa Salsabila · Annisa Raina Nabilah T · Henni Jovita Sari

International Journal of Research in Business and Social Science · 2022

Read abstract

Sustainable Development Goals (SDGs) are a set of goals for sustainable development which are consist of 17 goals that are expected to be achieved by 2030. 91% of Indonesia's territory is a rural area, consisting of more than 17,000 islands, almost 7500 villages. The villages contribute about 74% to the achievement of the national SDGs. Indonesia implements The Village SDGs which have 18 goals. The 18th goal is to achieve dynamic village institutions and adaptive village culture designed to accommodate various local cultures that characterize village management and are still applied by the community. Almost all district in Indonesia do not yet have a mapping of the status of achieving the Village SDGs. It will be easier for the district government to prioritize village development programs according to the needs of each village. In this study, research variables that measure 17 village goals will be used and grouped into 4 aspects, namely economic aspects, environmental aspects, health and education aspects and welfare aspects. Because village SDGs data is a mixture of numeric and categorical, ROCK ensemble analysis is used which is a grouping method for mixed data. In this study, it was found that the majority of villages in Sidoarjo Regency were still lagging behind in the fields of economy, health, education, and community welfare. This can be seen in the number of villages that are included in the low group based on the results of the analysis.

DOI 10.20525/ijrbs.v11i1.15671 Crossref citations3 OpenAlex citations
JOURNAL ARTICLE

Analysis of changes in public behavior regarding 3M health protocols during the Covid-19 pandemic in Indonesia

Agnes Tuti Rumiati · Dedy Dwi Prastyo · Sonny Harry B. Harmadi · Nur Achmey Selgi Harwanti

International Journal of Research in Business and Social Science · 2021

Read abstract

The Covid-19 pandemic has occurred in Indonesia since March 2020. The pandemic period required adjustments in all sectors of life, including changes in people's behavior, namely spending more time at home. Changes in people’s behavior are needed to break the chain of Covid-19 transmissions, one of which is the implementation of Health protocols. Research on the behavior of the Indonesian people in dealing with the Covid-19 pandemic includes public knowledge and understanding, compliance in implementing the 3M health protocols, and the important factors that influence changes in people's behavior to comply with the health protocol. Data was collected by distributing online questionnaires, surveys to crowd locations and FGDs. National online and offline surveys are divided into 3 regions, namely Java, West Indonesia and East Indonesia. The analysis was carried out using statistical methods, namely dependency analysis, factor analysis, and multinomial regression. The conclusion is that people who have implemented the 3M protocol and have confidence in the effectiveness of 3M tend to believe that the 3M protocol is important to continue to be implemented. In addition, it is known that social media, TV, and online media almost always ranked in the top three of the most media respondents to get information about the importance of implementing health protocols.  

DOI 10.20525/ijrbs.v10i5.13041 Crossref citations4 OpenAlex citations
JOURNAL ARTICLE

Analysis of Factors Influencing the Usage of Seasonal Forecast in Drought Prone Area

Heri Kuswanto

International Journal of Research in Business and Social Science · 2019

Read abstract

This research aims to investigate the factors influencing the households in East Nusa Tenggara (NTT) Indonesia to use seasonal forecast issued by the Meteorological Office (BMKG) Indonesia. NTT is a highly vulnerable region to drought, and hence, understanding the weather and climate condition is a crucial issue. Household survey was conducted to interview 300 households in NTT asking about their intention to utilize the forecast information in supporting their livelihood. Furthermore, this research investigates whether the households characteristics influencing the intention. Using the Classification and Regression Tree (CART), we found that the intention to use forecast is dominantly influenced by age of the household head, ownership of household assets, main source of income, crop and livestock activities and water source for livestock.

DOI 10.20525/ijrbs.v8i3.2540 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
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