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: 2 / 2 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 00:49 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 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.
1 / 2 with data · 1 missing or unmatched. Percentages use all 2 selected publications.
1 / 2 with data · 1 missing or unmatched. Percentages use all 2 selected publications.
2 / 2 with data · 0 missing or unmatched. Percentages use all 2 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 |
|---|---|---|---|---|---|
| 2020 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2020 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2020 | All selected publications | 3 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | 0 | 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 2 / 2 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): 2026-10-21T00:49:34.342823+00:00 — 2026-10-21T07:22:51.953551+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 | 2 | 2/2 |
| 2018 | All selected publications | 0 | 2 | 2/2 |
| 2019 | All selected publications | 0 | 2 | 2/2 |
| 2020 | All selected publications | 1 | 2 | 2/2 |
| 2021 | All selected publications | 1 | 2 | 2/2 |
| 2022 | All selected publications | 1 | 2 | 2/2 |
| 2023 | All selected publications | 0 | 2 | 2/2 |
| 2024 | All selected publications | 0 | 2 | 2/2 |
| 2025 | All selected publications | 0 | 2 | 2/2 |
| 2026 | All selected publications | 0 | 2 | 2/2 |
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 |
|---|---|
| 2020 | 1 |
| 2023 | 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 Research in Business and Social Science SSBFNET | 2 | 1 | 3 | 2/2 | 0.5 | 0.5 | 50.0 | 2/2 · 100.0% |
* Percentage among publications with a known citation count.
Language in politics is directed towards the achievement of political objectives, that is gaining power or maintaining power. The language of the politicians is aiming to attract the attention of voters which can be seen in various campaign media, such as banners, advertisements, social media, and excerpts from interviews in the mass media. This research is descriptive research. This research describes the choice of words spoken by the political elite in representing their power. The data in this study are Donald Trump's remarks relating to power. The data source in this study is the Corpus of Contemporary American English (COCA). The results of this study found that the choice of words used by Donald Trump is the use of sentence structures in the form of modal lexical.
This study investigated the discursive strategies used in major speeches in South Africa with distinct socio-political systems, which put nation-building in a central place, making the nation both the context and an analytical unit for the study of nation-building. The research question that needed to be answered was: to what extent does a presidential speech, as a tool, reflect South Africa’s nation-building objectives? This study specifically examined various discursive techniques used in the political language of former President Thabo Mbeki. Two speeches by former President Thabo Mbeki were collected from the GCIS website. A general textual description of the speeches is made in terms of lexis and syntax to uncover the underlying ideology in the speeches. Thematic content analysis was adopted. The analysis was predominantly qualitative, supported by some statistical data, on the assumption that a purely qualitative analysis would not necessarily yield reliable results. The occurrence of linguistic features was presented; each text was transcribed and marked for relevant linguistic features. The critical discourse analysis revealed that, on a macro-level, the text of the speeches can be viewed as a manifestation of larger socio-political processes within the country. The texts illustrate a type of political speech positioned in a society in transition, as there are references to building a cohesive society, policy implementation, new programs of government, job creation, and poverty alleviation. The speeches did serve as a nation-building tool, as they conveyed the steps undertaken by the South African government to strive towards an inclusive and all-encompassing approach in an effort to achieve nation-building.
This study investigated the discursive strategies used in major speeches in South Africa with distinct socio-political systems, which put nation-building in a central place, making the nation both the context and an analytical unit for the study of nation-building. The research question that needed to be answered was: to what extent does a presidential speech, as a tool, reflect South Africa’s nation-building objectives? This study specifically examined various discursive techniques used in the political language of former President Thabo Mbeki. Two speeches by former President Thabo Mbeki were collected from the GCIS website. A general textual description of the speeches is made in terms of lexis and syntax to uncover the underlying ideology in the speeches. Thematic content analysis was adopted. The analysis was predominantly qualitative, supported by some statistical data, on the assumption that a purely qualitative analysis would not necessarily yield reliable results. The occurrence of linguistic features was presented; each text was transcribed and marked for relevant linguistic features. The critical discourse analysis revealed that, on a macro-level, the text of the speeches can be viewed as a manifestation of larger socio-political processes within the country. The texts illustrate a type of political speech positioned in a society in transition, as there are references to building a cohesive society, policy implementation, new programs of government, job creation, and poverty alleviation. The speeches did serve as a nation-building tool, as they conveyed the steps undertaken by the South African government to strive towards an inclusive and all-encompassing approach in an effort to achieve nation-building.
Language in politics is directed towards the achievement of political objectives, that is gaining power or maintaining power. The language of the politicians is aiming to attract the attention of voters which can be seen in various campaign media, such as banners, advertisements, social media, and excerpts from interviews in the mass media. This research is descriptive research. This research describes the choice of words spoken by the political elite in representing their power. The data in this study are Donald Trump's remarks relating to power. The data source in this study is the Corpus of Contemporary American English (COCA). The results of this study found that the choice of words used by Donald Trump is the use of sentence structures in the form of modal lexical.
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 |