Publication activity
Articles grouped by publication year
Hover over a year or focus the chart and use arrow keys to inspect values.
2026 is year to date. 0 undated publications excluded.
Research across participating journals · All insights follow your collection filters.
Publication activity alongside incoming citations.
Articles grouped by publication year
Hover over a year or focus the chart and use arrow keys to inspect values.
2026 is year to date. 0 undated publications excluded.
OpenAlex · year of the citing work
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.
Leading affiliations and themes in this collection.
Full distributions & methodology ↓Independent sources. Clear time scales.
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.
OpenAlex · incoming citation links grouped by citing-work year
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.
Select journals to compare the same collection filters. Source totals stay separate. These measures describe research activity, not journal quality.
Articles by publication year
Latest lifetime totals · grouped by publication year
Latest lifetime totals · grouped by publication year
By year of the citing work · 2017–2026
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.
Crossref citation coverage: 3 / 3 publications (100.0%). Latest observation: 21 Oct 2026, 07:22 UTC. Means and percentages use records with known counts.
DOI-matched OpenAlex observations for the same selected publications. These counts are separate from Crossref and are never added together.
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 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.
3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.
3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.
3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.
Citations are the latest recorded totals for articles published in each year, not citations received during that year. Crossref and OpenAlex remain separate and share the same citation scale. 2026 is incomplete; newer articles have had less time to receive citations.
0 undated publications excluded. Unknown citation counts are shown as —, never as zero. Partial coverage can understate totals; expand each table for known / total records.
| Publication year | Journal / scope | Publications | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2026 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2026 | All selected publications | 0 | 3 | 3/3 | 3/3 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2026 | All selected publications | 0 | 3 | 3/3 | 3/3 |
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.
| Citation year | Journal / scope | OpenAlex · Citations received by year | Publications | Annual history known |
|---|---|---|---|---|
| 2017 | All selected publications | 0 | 3 | 3/3 |
| 2018 | All selected publications | 0 | 3 | 3/3 |
| 2019 | All selected publications | 0 | 3 | 3/3 |
| 2020 | All selected publications | 0 | 3 | 3/3 |
| 2021 | All selected publications | 0 | 3 | 3/3 |
| 2022 | All selected publications | 0 | 3 | 3/3 |
| 2023 | All selected publications | 0 | 3 | 3/3 |
| 2024 | All selected publications | 0 | 3 | 3/3 |
| 2025 | All selected publications | 0 | 3 | 3/3 |
| 2026 | All selected publications | 0 | 3 | 3/3 |
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 ↗
Publications by publication year. 2026 is an incomplete year.
| Period | Publications |
|---|---|
| 2026 | 3 |
Latest Crossref totals for the selected publications; not citations received in the selected years.
Unknown counts are excluded from the mean, median and cited-publication rate.
Same filters, source and counting rules across journals. Descriptive statistics, not a quality ranking.
| Journal / publisher | Publications | Crossref citations | OpenAlex citations | OpenAlex coverage | Crossref mean | Crossref median | Crossref cited %* | Crossref coverage |
|---|---|---|---|---|---|---|---|---|
| International Journal of Business Ecosystem & Strategy Bussecon International Academy | 1 | 0 | 0 | 1/1 | 0.0 | 0 | 0.0 | 1/1 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 2 | 0 | 0 | 2/2 | 0.0 | 0.0 | 0.0 | 2/2 · 100.0% |
* Percentage among publications with a known citation count.
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.
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.
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.
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.
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.
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.
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
| Source | Most recent successful journal sync | Latest attempt |
|---|---|---|
| crossref | 21 Oct 2026 07:22 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |
| ojs-rest | 21 Oct 2026 07:22 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 06:46 UTC |
| oai-pmh | 20 Oct 2026 19:55 UTC · ijrbs | complete · ijrbs · 20 Oct 2026 19:50 UTC |
| openalex-enrichment | 21 Oct 2026 07:23 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |