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: 4 / 4 publications (100.0%). Latest observation: 21 Oct 2026, 00:14 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: 22 Oct 2026 01:27 UTC — 22 Oct 2026 02:48 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.
4 / 4 with data · 0 missing or unmatched. Percentages use all 4 selected publications.
4 / 4 with data · 0 missing or unmatched. Percentages use all 4 selected publications.
4 / 4 with data · 0 missing or unmatched. Percentages use all 4 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 |
|---|---|---|---|---|---|
| 2019 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2019 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | 5 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | 18 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2019 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | 7 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | 21 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 1 | 1 | 1/1 | 1/1 |
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): 2026-10-22T01:27:11.257125+00:00 — 2026-10-22T02:48:07.940748+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 | 4 | 4/4 |
| 2018 | All selected publications | 0 | 4 | 4/4 |
| 2019 | All selected publications | 0 | 4 | 4/4 |
| 2020 | All selected publications | 1 | 4 | 4/4 |
| 2021 | All selected publications | 5 | 4 | 4/4 |
| 2022 | All selected publications | 9 | 4 | 4/4 |
| 2023 | All selected publications | 6 | 4 | 4/4 |
| 2024 | All selected publications | 2 | 4 | 4/4 |
| 2025 | All selected publications | 2 | 4 | 4/4 |
| 2026 | All selected publications | 4 | 4 | 4/4 |
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 ↗
Publications by publication year. 2026 is an incomplete year.
| Period | Publications |
|---|---|
| 2019 | 1 |
| 2020 | 1 |
| 2021 | 1 |
| 2024 | 1 |
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 | 4 | 24 | 29 | 4/4 | 6.0 | 3.0 | 75.0 | 4/4 · 100.0% |
* Percentage among publications with a known citation count.
Fatigue as an emerging flight safety issue in the aviation industry requires an elaborate understanding and critical approach for proactive aviation management practices. The level of flight crew stress and fatigue must be critically managed to prevent flight accidents. Additionally, stress and fatigue have a negative influence on job satisfaction levels. This paper aims to examine the critical fatigue risk factors that affect the performance and safety of airline pilots and crew in the aviation industry. This paper also analyses the relationship between burnout and job satisfaction sub-dimensions. A factor analysis with a target population of 254 international flight crew has been conducted using the Minnesota Job Satisfaction Survey and Maslach Burnout questionnaire. The main findings of the study demonstrate that (i) cockpit and cabin crews’ job satisfaction and performance have been affected by stress and fatigue, (ii) psychological depression, anxiety and personal problems of the flight crew are the main causes of emotional fatigue, (iii) extensive flight hours and dealing with problematic passengers increase flight crew fatigue, (iv) personal achievements concerns and depersonalization increase flight crew fatigue.
Airline employees also carry the risk of losing their jobs in times of crisis that closely affect the aviation industry. Therefore, it is important to investigate the burnout syndrome experienced by airline workers in times of crisis. This study aims to evaluate the burnout syndrome of airlines. Findings show that airline flight crews who experienced high levels of burnout syndrome during normal periods experienced less burnout syndrome during crisis periods. It is understood that the reason for this situation is that they cling to their jobs more tightly against the risk of losing their jobs.
Police work is a high-stress occupation that exposes officers to violence, threats, and traumatic events daily. These experiences can cause significant personal distress and negatively impact performance. To cope with these stressful events, police officers employ various strategies. This study examined the coping strategies used by junior police officers at Pretoria's central police station, using Lazarus and Folkman's coping model. A qualitative, descriptive design was used to explore the experiences of nine junior officers through individual interviews. The results showed that junior officers primarily used emotional coping strategies rather than avoidance strategies. The identified coping mechanisms included religion, socialization, self-encouragement, motivation, work acceptance, and consultation with health professionals. The study recommends conducting longitudinal studies with larger samples across multiple police stations in Gauteng and among senior officers to further understand and support police officers' mental well-being.

 
 
 
 The crucial role of delivering health care services belongs to the health care providers. Among them, nurses have an important place both in regards to their numbers and the burden they take on. Therefore, the purpose of this research is to understand the relations between their work performances and their burnout level in conjunction with their internal& external motivation. The research is a cross-sectional observational study. Surveys were distributed to 600 nurses across the Asian part of ?stanbul among 4 hospitals. The study included the volunteer nurses who were actively working in the institutions, who were given permission to participate in the study, except for the nurses who were on leave/had a report during the data collection period. While collecting data, burnout, motivation and workers’ perceived performance scales were used. 458 nurses completed the surveys out of 600 distributed, of which 439 were deemed to be appropriate to be included in the analysis. All the data were analyzed at SPSS 22.0 version, with the mean, standard deviation, range and such descriptive statistics being used with p<0.05 significance level. Analyzes demonstrated a statistically significant negative correlation between burnout and perceived performance (p<0.01, r=-,422). On the other hand, the analyzes also demonstrated a positive but statistically significant and low-level correlation between motivation (internal and external) and perceived performance (p<0.01, r=,173; 226). Burnout caused by independent variables has a statistically significant and negative correlation between both internal and external motivation (p<0.01). Perceived work performance of nurses, one of the most important factors in delivering health care services, can be elevated by decreasing burnout level and by increasing their internal/external motivation. So, it is important for administrations to take appropriate measures to lower the burnout level and increase the motivation of nurses.
 
 
 
Police work is a high-stress occupation that exposes officers to violence, threats, and traumatic events daily. These experiences can cause significant personal distress and negatively impact performance. To cope with these stressful events, police officers employ various strategies. This study examined the coping strategies used by junior police officers at Pretoria's central police station, using Lazarus and Folkman's coping model. A qualitative, descriptive design was used to explore the experiences of nine junior officers through individual interviews. The results showed that junior officers primarily used emotional coping strategies rather than avoidance strategies. The identified coping mechanisms included religion, socialization, self-encouragement, motivation, work acceptance, and consultation with health professionals. The study recommends conducting longitudinal studies with larger samples across multiple police stations in Gauteng and among senior officers to further understand and support police officers' mental well-being.
Fatigue as an emerging flight safety issue in the aviation industry requires an elaborate understanding and critical approach for proactive aviation management practices. The level of flight crew stress and fatigue must be critically managed to prevent flight accidents. Additionally, stress and fatigue have a negative influence on job satisfaction levels. This paper aims to examine the critical fatigue risk factors that affect the performance and safety of airline pilots and crew in the aviation industry. This paper also analyses the relationship between burnout and job satisfaction sub-dimensions. A factor analysis with a target population of 254 international flight crew has been conducted using the Minnesota Job Satisfaction Survey and Maslach Burnout questionnaire. The main findings of the study demonstrate that (i) cockpit and cabin crews’ job satisfaction and performance have been affected by stress and fatigue, (ii) psychological depression, anxiety and personal problems of the flight crew are the main causes of emotional fatigue, (iii) extensive flight hours and dealing with problematic passengers increase flight crew fatigue, (iv) personal achievements concerns and depersonalization increase flight crew fatigue.
Airline employees also carry the risk of losing their jobs in times of crisis that closely affect the aviation industry. Therefore, it is important to investigate the burnout syndrome experienced by airline workers in times of crisis. This study aims to evaluate the burnout syndrome of airlines. Findings show that airline flight crews who experienced high levels of burnout syndrome during normal periods experienced less burnout syndrome during crisis periods. It is understood that the reason for this situation is that they cling to their jobs more tightly against the risk of losing their jobs.

 
 
 
 The crucial role of delivering health care services belongs to the health care providers. Among them, nurses have an important place both in regards to their numbers and the burden they take on. Therefore, the purpose of this research is to understand the relations between their work performances and their burnout level in conjunction with their internal& external motivation. The research is a cross-sectional observational study. Surveys were distributed to 600 nurses across the Asian part of ?stanbul among 4 hospitals. The study included the volunteer nurses who were actively working in the institutions, who were given permission to participate in the study, except for the nurses who were on leave/had a report during the data collection period. While collecting data, burnout, motivation and workers’ perceived performance scales were used. 458 nurses completed the surveys out of 600 distributed, of which 439 were deemed to be appropriate to be included in the analysis. All the data were analyzed at SPSS 22.0 version, with the mean, standard deviation, range and such descriptive statistics being used with p<0.05 significance level. Analyzes demonstrated a statistically significant negative correlation between burnout and perceived performance (p<0.01, r=-,422). On the other hand, the analyzes also demonstrated a positive but statistically significant and low-level correlation between motivation (internal and external) and perceived performance (p<0.01, r=,173; 226). Burnout caused by independent variables has a statistically significant and negative correlation between both internal and external motivation (p<0.01). Perceived work performance of nurses, one of the most important factors in delivering health care services, can be elevated by decreasing burnout level and by increasing their internal/external motivation. So, it is important for administrations to take appropriate measures to lower the burnout level and increase the motivation of nurses.
 
 
 
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 00:14 UTC · ijbes | complete · ijbes · 21 Oct 2026 00:14 UTC |
| ojs-rest | 21 Oct 2026 00:14 UTC · ijbes | complete · ijbes · 21 Oct 2026 00:02 UTC |
| oai-pmh | 20 Oct 2026 19:49 UTC · ijbes | complete · ijbes · 20 Oct 2026 19:48 UTC |
| openalex-enrichment | 21 Oct 2026 00:14 UTC · ijbes | complete · ijbes · 21 Oct 2026 00:14 UTC |