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pro vyhledávání: '"Boris, Chigarev"'
Autor:
Boris, Chigarev
Часть 1. Кластеризации терминов и реферирование тем с помощью ChatGPT Б.Н. Чигарев Аннотация. Данная статья посвящена выявлению актуальных т
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ed7cc421fe53337282e20fcb9faa289
Autor:
Boris Chigarev
Publikováno v:
Actual Problems of Oil and Gas. :66-89
This article discusses the major trends in Petroleum Engineering research in 2016–2021 based on a bibliometric analysis of metadata of articles indexed by The Lens platform. A comparative analysis of trends in the topics related to Petroleum Engine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd320e2c79efb52df9e1bf466a736afd
https://doi.org/10.29222/ipng.2078-5712.2022-36.art4
https://doi.org/10.29222/ipng.2078-5712.2022-36.art4
Publikováno v:
Энергетическая политика. :28-47
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31039f96f197f5792402b5a762c98c9f
https://doi.org/10.46920/2409-5516_2022_5171_28
https://doi.org/10.46920/2409-5516_2022_5171_28
Autor:
Boris Chigarev
The purpose of this article is to demonstrate the ability of bibliometric data from the Lens platform to identify relevant bibliometric/scientometric issues based on the construction of a network of key terms co-occurrence and their clustering. The a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::20c72abe8aecf7502dd441d2ce1b83f2
Autor:
Boris Chigarev
This article is devoted to a bibliometric analysis of IEEE Energy Internet and Energy Systems Integration Conference proceedings posted in IEEE Xplore in 2017-2021. The main objective of the study was to identify the actual research issues on the Ene
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee5a5a0e0f5e8c9d81c9c740bc40df24
https://doi.org/10.20944/preprints202211.0425.v1
https://doi.org/10.20944/preprints202211.0425.v1
Autor:
Boris Chigarev
The article is devoted to identifying promising research issues on the topic of Digital Industry based on the analysis of bibliometric data from Scopus platform for 2018–2022. The definition of promising issues derived from the titles, additionally
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b6c777e2a474e0947ff5cd1e2573cf1f
https://doi.org/10.20944/preprints202210.0044.v1
https://doi.org/10.20944/preprints202210.0044.v1
Autor:
Boris Chigarev
Publikováno v:
Actual Problems of Oil and Gas. :76-101
This study aims to reveal and analyze the landscape of China’s scientific publications in 2018–2020 on the subject “Energy Engineering and Power Technology” using bibliometric data from the Lens platform. Bibliometric data of 26,623 scholarly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a192de0f6ef9c5a58ce96a2b30bed5f
https://doi.org/10.29222/ipng.2078-5712.2021-32.art7
https://doi.org/10.29222/ipng.2078-5712.2021-32.art7
Autor:
Boris Chigarev
This article identifies promising research areas on the PETROLEUM SCIENCE topic via bibliometric analysis of the 2018-2021 publications in the highly cited Journal of Petroleum Science and Engineering, which is included in the Journal Citation Report
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fbbaab5f763708af5f3e7eecced82d47
https://doi.org/10.20944/preprints202205.0306.v1
https://doi.org/10.20944/preprints202205.0306.v1
Autor:
Boris Chigarev
The article presents a bibliometric analysis of conference proceedings 2019-2021 indexed in Scopus and related to the topic "Artificial Intelligence and Energy". The relevance of the topic is considered in the context of the energy transition and the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::882b8ba82e097c2f1775b79a80ab94c5
https://doi.org/10.20944/preprints202203.0263.v1
https://doi.org/10.20944/preprints202203.0263.v1
Autor:
Boris Chigarev
The article is devoted to a bibliometric analysis of scientific publications reflecting trends in scientific publications related to the energy transition of leading universities in Saudi Arabia. The universities were selected based on the presence o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56898129b007748043c1dc9c8f8cb497