| DC Field | Value | Language |
|---|
| dc.contributor.author | Chigarev, B. N. | - |
| dc.date.accessioned | 2026-11-09T11:59:58Z | - |
| dc.date.available | 2026-11-09T11:59:58Z | - |
| dc.date.issued | 2026 | - |
| dc.identifier.citation | Chigarev, B.N. Mapping the scholarly landscape: a bibliometric analysis of ai and emerging technologies on ArXiv / B.N. Chigarev // Научный результат. Информационные технологии. - 2026. - Т.11, №2.-С. 91-108. - DOI: 10.18413/2518-1092-2026-11-2-0-8. | ru |
| dc.identifier.uri | http://dspace.bsuedu.ru/handle/123456789/67585 | - |
| dc.description.abstract | This article presents a two-step method for identifying relevant research topics in the "proof of concept" format. The first step involves analyzing bibliometric records of preprints to identify key topics described by terms taken from the abstracts. In the second step, examples of relevant peer-reviewed publications are identified based on these key terms | ru |
| dc.language.iso | en | ru |
| dc.subject | information technology | ru |
| dc.subject | artificial intelligence | ru |
| dc.subject | bibliometric analysis | ru |
| dc.subject | promising technologies | ru |
| dc.subject | preprint metadata | ru |
| dc.subject | key terms | ru |
| dc.subject | peer-reviewed publications | ru |
| dc.title | Mapping the scholarly landscape: a bibliometric analysis of ai and emerging technologies on ArXiv | ru |
| dc.type | Article | ru |
| Appears in Collections: | Т. 11, № 2
|
