Get quick answers to your questions about the article from our AI researcher chatbot
{'id': 'https://openalex.org/W2082240576', 'doi': 'https://doi.org/10.1007/bf01406511', 'title': 'A Monte Carlo method for high dimensional integration', 'display_name': 'A Monte Carlo method for high dimensional integration', 'publication_year': 1989, 'publication_date': '1989-03-01', 'ids': {'openalex': 'https://openalex.org/W2082240576', 'doi': 'https://doi.org/10.1007/bf01406511', 'mag': '2082240576'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'https://doi.org/10.1007/bf01406511', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S4210205683', 'display_name': 'Numerische Mathematik', 'issn_l': '0029-599X', 'issn': ['0029-599X', '0945-3245'], 'is_oa': False, 'is_in_doaj': False, 'is_core': True, 'host_organization': 'https://openalex.org/P4310319900', 'host_organization_name': 'Springer Science+Business Media', 'host_organization_lineage': ['https://openalex.org/P4310319965', 'https://openalex.org/P4310319900'], 'host_organization_lineage_names': ['Springer Nature', 'Springer Science+Business Media'], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, 'type': 'article', 'type_crossref': 'journal-article', 'indexed_in': ['crossref'], 'open_access': {'is_oa': False, 'oa_status': 'closed', 'oa_url': None, 'any_repository_has_fulltext': False}, 'authorships': [{'author_position': 'first', 'author': {'id': 'https://openalex.org/A5008938274', 'display_name': 'Yosihiko Ogata', 'orcid': 'https://orcid.org/0000-0001-5953-2034'}, 'institutions': [{'id': 'https://openalex.org/I4210134673', 'display_name': 'The Institute of Statistical Mathematics', 'ror': 'https://ror.org/03jcejr58', 'country_code': 'JP', 'type': 'facility', 'lineage': ['https://openalex.org/I1319490839', 'https://openalex.org/I4210134673', 'https://openalex.org/I4210158934']}], 'countries': ['JP'], 'is_corresponding': True, 'raw_author_name': 'Yosihiko Ogata', 'raw_affiliation_strings': ['The Institute of Statistical Mathematics, Tokyo 106, Japan#TAB#'], 'affiliations': [{'raw_affiliation_string': 'The Institute of Statistical Mathematics, Tokyo 106, Japan#TAB#', 'institution_ids': ['https://openalex.org/I4210134673']}]}], 'institution_assertions': [], 'countries_distinct_count': 1, 'institutions_distinct_count': 1, 'corresponding_author_ids': ['https://openalex.org/A5008938274'], 'corresponding_institution_ids': ['https://openalex.org/I4210134673'], 'apc_list': {'value': 2390, 'currency': 'EUR', 'value_usd': 2990, 'provenance': 'doaj'}, 'apc_paid': None, 'fwci': 1.237, 'has_fulltext': True, 'fulltext_origin': 'ngrams', 'cited_by_count': 150, 'citation_normalized_percentile': {'value': 0.954228, 'is_in_top_1_percent': False, 'is_in_top_10_percent': True}, 'cited_by_percentile_year': {'min': 97, 'max': 98}, 'biblio': {'volume': '55', 'issue': '2', 'first_page': '137', 'last_page': '157'}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T13126', 'display_name': 'Scientific Research and Discoveries', 'score': 0.9872, 'subfield': {'id': 'https://openalex.org/subfields/3109', 'display_name': 'Statistical and Nonlinear Physics'}, 'field': {'id': 'https://openalex.org/fields/31', 'display_name': 'Physics and Astronomy'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, 'topics': [{'id': 'https://openalex.org/T13126', 'display_name': 'Scientific Research and Discoveries', 'score': 0.9872, 'subfield': {'id': 'https://openalex.org/subfields/3109', 'display_name': 'Statistical and Nonlinear Physics'}, 'field': {'id': 'https://openalex.org/fields/31', 'display_name': 'Physics and Astronomy'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, {'id': 'https://openalex.org/T10928', 'display_name': 'Probabilistic and Robust Engineering Design', 'score': 0.9824, 'subfield': {'id': 'https://openalex.org/subfields/1804', 'display_name': 'Statistics, Probability and Uncertainty'}, 'field': {'id': 'https://openalex.org/fields/18', 'display_name': 'Decision Sciences'}, 'domain': {'id': 'https://openalex.org/domains/2', 'display_name': 'Social Sciences'}}, {'id': 'https://openalex.org/T10591', 'display_name': 'Theoretical and Computational Physics', 'score': 0.9454, 'subfield': {'id': 'https://openalex.org/subfields/3104', 'display_name': 'Condensed Matter Physics'}, 'field': {'id': 'https://openalex.org/fields/31', 'display_name': 'Physics and Astronomy'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}], 'keywords': [{'id': 'https://openalex.org/keywords/monte-carlo-integration', 'display_name': 'Monte Carlo integration', 'score': 0.826102}, {'id': 'https://openalex.org/keywords/quasi-monte-carlo-method', 'display_name': 'Quasi-Monte Carlo method', 'score': 0.7213943}, {'id': 'https://openalex.org/keywords/logarithmic-scale', 'display_name': 'Logarithmic scale', 'score': 0.42675644}], 'concepts': [{'id': 'https://openalex.org/C19499675', 'wikidata': 'https://www.wikidata.org/wiki/Q232207', 'display_name': 'Monte Carlo method', 'level': 2, 'score': 0.83833575}, {'id': 'https://openalex.org/C127349201', 'wikidata': 'https://www.wikidata.org/wiki/Q753445', 'display_name': 'Numerical integration', 'level': 2, 'score': 0.8310851}, {'id': 'https://openalex.org/C132725507', 'wikidata': 'https://www.wikidata.org/wiki/Q39879', 'display_name': 'Monte Carlo integration', 'level': 5, 'score': 0.826102}, {'id': 'https://openalex.org/C63320529', 'wikidata': 'https://www.wikidata.org/wiki/Q7269435', 'display_name': 'Quasi-Monte Carlo method', 'level': 5, 'score': 0.7213943}, {'id': 'https://openalex.org/C33923547', 'wikidata': 'https://www.wikidata.org/wiki/Q395', 'display_name': 'Mathematics', 'level': 0, 'score': 0.66021067}, {'id': 'https://openalex.org/C39927690', 'wikidata': 'https://www.wikidata.org/wiki/Q11197', 'display_name': 'Logarithm', 'level': 2, 'score': 0.6535712}, {'id': 'https://openalex.org/C37669827', 'wikidata': 'https://www.wikidata.org/wiki/Q6904703', 'display_name': 'Monte Carlo molecular modeling', 'level': 4, 'score': 0.53996575}, {'id': 'https://openalex.org/C13153151', 'wikidata': 'https://www.wikidata.org/wiki/Q1639846', 'display_name': 'Hybrid Monte Carlo', 'level': 4, 'score': 0.52075934}, {'id': 'https://openalex.org/C122592724', 'wikidata': 'https://www.wikidata.org/wiki/Q3855635', 'display_name': 'Dynamic Monte Carlo method', 'level': 3, 'score': 0.51246125}, {'id': 'https://openalex.org/C48753275', 'wikidata': 'https://www.wikidata.org/wiki/Q11216', 'display_name': 'Numerical analysis', 'level': 2, 'score': 0.49835396}, {'id': 'https://openalex.org/C204493344', 'wikidata': 'https://www.wikidata.org/wiki/Q6904698', 'display_name': 'Monte Carlo method in statistical physics', 'level': 5, 'score': 0.49646956}, {'id': 'https://openalex.org/C28826006', 'wikidata': 'https://www.wikidata.org/wiki/Q33521', 'display_name': 'Applied mathematics', 'level': 1, 'score': 0.48999825}, {'id': 'https://openalex.org/C204323151', 'wikidata': 'https://www.wikidata.org/wiki/Q905424', 'display_name': 'Range (aeronautics)', 'level': 2, 'score': 0.46570164}, {'id': 'https://openalex.org/C139912040', 'wikidata': 'https://www.wikidata.org/wiki/Q937378', 'display_name': 'Logarithmic scale', 'level': 2, 'score': 0.42675644}, {'id': 'https://openalex.org/C121864883', 'wikidata': 'https://www.wikidata.org/wiki/Q677916', 'display_name': 'Statistical physics', 'level': 1, 'score': 0.40399504}, {'id': 'https://openalex.org/C11413529', 'wikidata': 'https://www.wikidata.org/wiki/Q8366', 'display_name': 'Algorithm', 'level': 1, 'score': 0.33186367}, {'id': 'https://openalex.org/C134306372', 'wikidata': 'https://www.wikidata.org/wiki/Q7754', 'display_name': 'Mathematical analysis', 'level': 1, 'score': 0.24648324}, {'id': 'https://openalex.org/C105795698', 'wikidata': 'https://www.wikidata.org/wiki/Q12483', 'display_name': 'Statistics', 'level': 1, 'score': 0.2048814}, {'id': 'https://openalex.org/C111350023', 'wikidata': 'https://www.wikidata.org/wiki/Q1191869', 'display_name': 'Markov chain Monte Carlo', 'level': 3, 'score': 0.19155678}, {'id': 'https://openalex.org/C121332964', 'wikidata': 'https://www.wikidata.org/wiki/Q413', 'display_name': 'Physics', 'level': 0, 'score': 0.10497373}, {'id': 'https://openalex.org/C192562407', 'wikidata': 'https://www.wikidata.org/wiki/Q228736', 'display_name': 'Materials science', 'level': 0, 'score': 0.0}, {'id': 'https://openalex.org/C24890656', 'wikidata': 'https://www.wikidata.org/wiki/Q82811', 'display_name': 'Acoustics', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C159985019', 'wikidata': 'https://www.wikidata.org/wiki/Q181790', 'display_name': 'Composite material', 'level': 1, 'score': 0.0}], 'mesh': [], 'locations_count': 1, 'locations': [{'is_oa': False, 'landing_page_url': 'https://doi.org/10.1007/bf01406511', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S4210205683', 'display_name': 'Numerische Mathematik', 'issn_l': '0029-599X', 'issn': ['0029-599X', '0945-3245'], 'is_oa': False, 'is_in_doaj': False, 'is_core': True, 'host_organization': 'https://openalex.org/P4310319900', 'host_organization_name': 'Springer Science+Business Media', 'host_organization_lineage': ['https://openalex.org/P4310319965', 'https://openalex.org/P4310319900'], 'host_organization_lineage_names': ['Springer Nature', 'Springer Science+Business Media'], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}], 'best_oa_location': None, 'sustainable_development_goals': [{'id': 'https://metadata.un.org/sdg/11', 'score': 0.56, 'display_name': 'Sustainable cities and communities'}], 'grants': [], 'datasets': [], 'versions': [], 'referenced_works_count': 8, 'referenced_works': ['https://openalex.org/W168346156', 'https://openalex.org/W187678060', 'https://openalex.org/W1975819870', 'https://openalex.org/W2014208555', 'https://openalex.org/W2055181244', 'https://openalex.org/W2056760934', 'https://openalex.org/W2091018430', 'https://openalex.org/W4206038828'], 'related_works': ['https://openalex.org/W86393192', 'https://openalex.org/W590971457', 'https://openalex.org/W4367155567', 'https://openalex.org/W4294677683', 'https://openalex.org/W4238572999', 'https://openalex.org/W2374592211', 'https://openalex.org/W2364466961', 'https://openalex.org/W2151084831', 'https://openalex.org/W2019600130', 'https://openalex.org/W1548972748'], 'abstract_inverted_index': None, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W2082240576', 'counts_by_year': [{'year': 2024, 'cited_by_count': 10}, {'year': 2023, 'cited_by_count': 11}, {'year': 2022, 'cited_by_count': 7}, {'year': 2021, 'cited_by_count': 7}, {'year': 2020, 'cited_by_count': 9}, {'year': 2019, 'cited_by_count': 13}, {'year': 2018, 'cited_by_count': 4}, {'year': 2017, 'cited_by_count': 5}, {'year': 2016, 'cited_by_count': 5}, {'year': 2015, 'cited_by_count': 7}, {'year': 2014, 'cited_by_count': 5}, {'year': 2013, 'cited_by_count': 6}, {'year': 2012, 'cited_by_count': 7}], 'updated_date': '2024-12-23T02:45:49.920586', 'created_date': '2016-06-24'}