CiteNScope — Scholarly Index & Analytics
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Understand the reach.

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

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OpenAlex coverage 100.0% · 3/3 recordsLast OpenAlex observation 21 Oct 2026, 07:23 UTC
PUBLICATIONS3In the selected collection
CROSSREF CITATIONS03/3 with known counts
OPENALEX CITATIONS03/3 with known counts
OPENALEX MEAN0.0Per article with a known count
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topic: Patient Satisfaction in Healthcare 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.

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

Bandung Institute of Technology1Sefako Makgatho Health Sciences University1University of Limpopo13/3 records with data

Countries

South Africa2Indonesia13/3 records with data

Primary topics

Patient Satisfaction in Healthcare33/3 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: 3/3 articles. Latest history observation: 2026-10-21T07:23:09.000097+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 Business Ecosystem & StrategyInternational 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
3 MATCHING PUBLICATIONSExplore results →Export CSV ↓
INDEXED PUBLICATIONS3
CROSSREF CITATIONS0
CROSSREF · CITED PUBLICATIONS0.0%
CROSSREF · MEAN CITATIONS0.0

Crossref citation coverage: 3 / 3 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 CITATIONS0
DOI MATCH COVERAGE100.0%3 / 3 publications
MEAN · KNOWN COUNTS ONLY0.03 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY0

Observation range: 21 Oct 2026 00:14 UTC — 21 Oct 2026 07:23 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.

OpenAlex citation distributionNo citations31–506–20021+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

3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.

Countries

3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.

Primary topics

3 / 3 with data · 0 missing or unmatched. Percentages use all 3 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 3 / 3 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): 2026-10-21T00:14:34.422936+00:00 — 2026-10-21T07:23:09.000097+00:00. Older observations may be retained after failed or incomplete refreshes.

OpenAlex · Citations received by year

10.50 2017 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32018 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32019 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32020 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32021 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32022 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32023 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32024 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32025 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32026 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/3 2017201820192020202120222023202420252026
View openalex · citations received by year data & coverage
Citation yearJournal / scopeOpenAlex · Citations received by yearPublicationsAnnual history known
2017All selected publications033/3
2018All selected publications033/3
2019All selected publications033/3
2020All selected publications033/3
2021All selected publications033/3
2022All selected publications033/3
2023All selected publications033/3
2024All selected publications033/3
2025All selected publications033/3
2026All selected publications033/3

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.

Mean0.0
Median0
No citations31–506–20021+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 Business Ecosystem & Strategy
Bussecon International Academy
1001/10.000.01/1 · 100.0%
International Journal of Research in Business and Social Science
SSBFNET
2002/20.00.00.02/2 · 100.0%

* Percentage among publications with a known citation count.

Explore publications

View all 3 →

Most cited · Crossref

JOURNAL ARTICLE

Integrating individual and organizational factors: Drivers of patient satisfaction in Indonesia premuim hospitals

Agus Wismoyo · Muhammad Yorga Permana

International Journal of Research in Business and Social Science · 2026

Read abstract

This research seeks to investigate the individual and organisational elements that can influence patient happiness in premium healthcare environments. It also seeks to determine which factors most significantly account for variations in patient experience among hospital units. This research employed a mixed methods design (Creswell & Plano Clark, 2018). The quantitative phase employed an online survey method including 1,751 frontline staff, including nurses and patient-facing administrative personnel, across 14 premium hospitals in Indonesia. This sample constituted 64% of the overall population coverage. The study assessed seven constructs: competency, motivation, weariness, emotional intelligence, leadership support, workplace culture, and hospital policies. Simple linear regression analysis was employed to examine the correlation between these variables and unit-level patient satisfaction levels. The qualitative phase employed a Focus Group Discussion (FGD) methodology, with eight participants selected via maximum variation sampling. The qualitative data were examined with the Gioia thematic analysis method to comprehend the operational dynamics of these aspects in everyday practice. Our results indicate that five of the seven hypothesised parameters strongly predicted patient satisfaction at p < 0.05. The strongest predictor of workplace culture was identified, with a R² value of 0.641. Subsequently, emotional intelligence exhibited a R² of 0.565, while hospital policies demonstrated a R² of 0.560. Individual competency, with a p-value of 0.458, and weariness, with a p-value of 0.812, did not substantially predict patient happiness. The study's findings, derived from a qualitative method, elucidate how organisational elements manifest through specific daily routines, including shift briefings and well-defined standard operating procedures. In high-quality healthcare environments, organisational factors seem to be more significant predictors of patient satisfaction than the proficiency of individual staff members. These factors encompass organisational culture, leadership availability, and explicit hospital regulations. This discovery undermines the presumption that individual staff proficiency is the primary distinguishing element in patient satisfaction. When hospitals implement rigorous hiring requirements and staff achieve the requisite baseline competency, organisational variables significantly influence patient experience. Consequently, the results indicate that leaders in premium healthcare should not concentrate just on enhancing individual competencies. They must also enhance work culture and leadership techniques that promote continuous patient-centered service behaviour.

DOI 10.20525/ijrbs.v15i4.52500 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Exploring patients' satisfaction with quality healthcare service in public hospitals: An integrated review

Nkhensani Florence Mabunda

International Journal of Research in Business and Social Science · 2026

Read abstract

Patient satisfaction is an important indicator used to assess the quality and effectiveness of healthcare systems. This is especially significant for public hospitals that serve large communities by providing primary care services. High levels of patient satisfaction typically reflect positively on the quality of healthcare services offered by these institutions. This paper aims to integrate a review that combines various research methods to provide a comprehensive view of patient satisfaction with healthcare quality in state-operated hospitals. A comprehensive search was carried out using electronic databases like PubMed, CINAHL, PsycINFO, and Google Scholar to compile and synthesise studies from 2015 to 2025. The PRISMA flowchart was utilized to refine the screening process for relevance and potential inclusion. Main findings of the study demonstrate that (i) the factors determining patient satisfaction include the physical, human, and systemic aspects of healthcare delivery that affect patients' experiences; (ii)factors related to the process impacting patient satisfaction include the method of care delivery and the quality of interactions between healthcare professionals and patients; and (iii) outcomes and perceptions centered around the patient reflect the outcomes of care and the way patients view the efficacy and equity of the healthcare system. Patient satisfaction serves as a multifaceted measure of the quality of healthcare services provided in public hospitals. To enhance satisfaction and health outcomes, public health systems ought to prioritize patient-centered strategies, allocate resources towards infrastructure and human capital, and develop avenues for patient feedback. These initiatives will augment satisfaction, trust, equity, and the overall efficacy of public healthcare.

DOI 10.20525/ijrbs.v15i2.48970 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

The service quality and satisfaction in the private health care sector in South Africa

Khathutshelo Ramalata · Joseph Musandiwa · Aklilu Asha

International Journal of Business Ecosystem & Strategy · 2026

Read abstract

The objectives of this paper are, first, to explore factors influencing customers' satisfaction with private healthcare services, and second, to investigate the relationship between patient attributes and the factors influencing customer satisfaction. The SERVQUAL model was employed to assess the quality of healthcare services from the patients’ perspective, offering valuable insights for private healthcare providers in Limpopo, South Africa. The study surveyed 242 patients from the Thulamela District Municipality using a self-administered questionnaire. A quantitative research approach and stratified random sampling were used to collect the data. The results indicate that factors influencing customer satisfaction in private medical services include the physical environment of the practice, the competence of reception staff, and the professionalism of medical doctors. Additionally, the study found a significant relationship between patient attributes and these key factors. The study underscores the importance of aligning healthcare service delivery with patient needs and expectations to enhance competitiveness and ensure long-term sustainability. To enhance customer satisfaction, the medical doctors are encouraged to focus on tangible aspects of their facilities and human resources, operational and structural enhancements, accessibility and pricing.

DOI 10.36096/ijbes.v8i1.9550 Crossref citations0 OpenAlex citations

Selected results

JOURNAL ARTICLE

Integrating individual and organizational factors: Drivers of patient satisfaction in Indonesia premuim hospitals

Agus Wismoyo · Muhammad Yorga Permana

International Journal of Research in Business and Social Science · 2026

Read abstract

This research seeks to investigate the individual and organisational elements that can influence patient happiness in premium healthcare environments. It also seeks to determine which factors most significantly account for variations in patient experience among hospital units. This research employed a mixed methods design (Creswell & Plano Clark, 2018). The quantitative phase employed an online survey method including 1,751 frontline staff, including nurses and patient-facing administrative personnel, across 14 premium hospitals in Indonesia. This sample constituted 64% of the overall population coverage. The study assessed seven constructs: competency, motivation, weariness, emotional intelligence, leadership support, workplace culture, and hospital policies. Simple linear regression analysis was employed to examine the correlation between these variables and unit-level patient satisfaction levels. The qualitative phase employed a Focus Group Discussion (FGD) methodology, with eight participants selected via maximum variation sampling. The qualitative data were examined with the Gioia thematic analysis method to comprehend the operational dynamics of these aspects in everyday practice. Our results indicate that five of the seven hypothesised parameters strongly predicted patient satisfaction at p < 0.05. The strongest predictor of workplace culture was identified, with a R² value of 0.641. Subsequently, emotional intelligence exhibited a R² of 0.565, while hospital policies demonstrated a R² of 0.560. Individual competency, with a p-value of 0.458, and weariness, with a p-value of 0.812, did not substantially predict patient happiness. The study's findings, derived from a qualitative method, elucidate how organisational elements manifest through specific daily routines, including shift briefings and well-defined standard operating procedures. In high-quality healthcare environments, organisational factors seem to be more significant predictors of patient satisfaction than the proficiency of individual staff members. These factors encompass organisational culture, leadership availability, and explicit hospital regulations. This discovery undermines the presumption that individual staff proficiency is the primary distinguishing element in patient satisfaction. When hospitals implement rigorous hiring requirements and staff achieve the requisite baseline competency, organisational variables significantly influence patient experience. Consequently, the results indicate that leaders in premium healthcare should not concentrate just on enhancing individual competencies. They must also enhance work culture and leadership techniques that promote continuous patient-centered service behaviour.

DOI 10.20525/ijrbs.v15i4.52500 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Exploring patients' satisfaction with quality healthcare service in public hospitals: An integrated review

Nkhensani Florence Mabunda

International Journal of Research in Business and Social Science · 2026

Read abstract

Patient satisfaction is an important indicator used to assess the quality and effectiveness of healthcare systems. This is especially significant for public hospitals that serve large communities by providing primary care services. High levels of patient satisfaction typically reflect positively on the quality of healthcare services offered by these institutions. This paper aims to integrate a review that combines various research methods to provide a comprehensive view of patient satisfaction with healthcare quality in state-operated hospitals. A comprehensive search was carried out using electronic databases like PubMed, CINAHL, PsycINFO, and Google Scholar to compile and synthesise studies from 2015 to 2025. The PRISMA flowchart was utilized to refine the screening process for relevance and potential inclusion. Main findings of the study demonstrate that (i) the factors determining patient satisfaction include the physical, human, and systemic aspects of healthcare delivery that affect patients' experiences; (ii)factors related to the process impacting patient satisfaction include the method of care delivery and the quality of interactions between healthcare professionals and patients; and (iii) outcomes and perceptions centered around the patient reflect the outcomes of care and the way patients view the efficacy and equity of the healthcare system. Patient satisfaction serves as a multifaceted measure of the quality of healthcare services provided in public hospitals. To enhance satisfaction and health outcomes, public health systems ought to prioritize patient-centered strategies, allocate resources towards infrastructure and human capital, and develop avenues for patient feedback. These initiatives will augment satisfaction, trust, equity, and the overall efficacy of public healthcare.

DOI 10.20525/ijrbs.v15i2.48970 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

The service quality and satisfaction in the private health care sector in South Africa

Khathutshelo Ramalata · Joseph Musandiwa · Aklilu Asha

International Journal of Business Ecosystem & Strategy · 2026

Read abstract

The objectives of this paper are, first, to explore factors influencing customers' satisfaction with private healthcare services, and second, to investigate the relationship between patient attributes and the factors influencing customer satisfaction. The SERVQUAL model was employed to assess the quality of healthcare services from the patients’ perspective, offering valuable insights for private healthcare providers in Limpopo, South Africa. The study surveyed 242 patients from the Thulamela District Municipality using a self-administered questionnaire. A quantitative research approach and stratified random sampling were used to collect the data. The results indicate that factors influencing customer satisfaction in private medical services include the physical environment of the practice, the competence of reception staff, and the professionalism of medical doctors. Additionally, the study found a significant relationship between patient attributes and these key factors. The study underscores the importance of aligning healthcare service delivery with patient needs and expectations to enhance competitiveness and ensure long-term sustainability. To enhance customer satisfaction, the medical doctors are encouraged to focus on tangible aspects of their facilities and human resources, operational and structural enhancements, accessibility and pricing.

DOI 10.36096/ijbes.v8i1.9550 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 19:55 UTC · ijrbscomplete · ijrbs · 20 Oct 2026 19:50 UTC
openalex-enrichment21 Oct 2026 07:23 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 07:22 UTC
Full import history & methodology →