Publication Information

{'id': 'https://openalex.org/W4247222564', 'doi': 'https://doi.org/10.1109/wsc.2004.1371308', 'title': 'Kriging Interpolation in Simulation: A Survey', 'display_name': 'Kriging Interpolation in Simulation: A Survey', 'publication_year': 2005, 'publication_date': '2005-04-05', 'ids': {'openalex': 'https://openalex.org/W4247222564', 'doi': 'https://doi.org/10.1109/wsc.2004.1371308'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'https://doi.org/10.1109/wsc.2004.1371308', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S4363608840', 'display_name': 'Proceedings of Winter Simulation Conference', 'issn_l': None, 'issn': None, 'is_oa': False, 'is_in_doaj': False, 'is_core': False, 'host_organization': None, 'host_organization_name': None, 'host_organization_lineage': [], 'host_organization_lineage_names': [], 'type': 'conference'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, 'type': 'article', 'type_crossref': 'proceedings-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/A5032578064', 'display_name': 'W.C.M. van Beers', 'orcid': 'https://orcid.org/0000-0002-6238-1131'}, 'institutions': [{'id': 'https://openalex.org/I193700539', 'display_name': 'Tilburg University', 'ror': 'https://ror.org/04b8v1s79', 'country_code': 'NL', 'type': 'education', 'lineage': ['https://openalex.org/I193700539']}], 'countries': ['NL'], 'is_corresponding': False, 'raw_author_name': 'W.C.M. Van Beers', 'raw_affiliation_strings': ['Department of Information Systems and Management, Tilburg University, Tilburg, Netherlands'], 'affiliations': [{'raw_affiliation_string': 'Department of Information Systems and Management, Tilburg University, Tilburg, Netherlands', 'institution_ids': ['https://openalex.org/I193700539']}]}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5087315126', 'display_name': 'J.P.C. Kleijnen', 'orcid': 'https://orcid.org/0000-0001-8413-2366'}, 'institutions': [{'id': 'https://openalex.org/I193700539', 'display_name': 'Tilburg University', 'ror': 'https://ror.org/04b8v1s79', 'country_code': 'NL', 'type': 'education', 'lineage': ['https://openalex.org/I193700539']}], 'countries': ['NL'], 'is_corresponding': False, 'raw_author_name': 'J.P.C. Kleijnen', 'raw_affiliation_strings': ['Department of Information Systems and Management/Center for Economic Research (CentER), Tilburg University, Tilburg, Netherlands'], 'affiliations': [{'raw_affiliation_string': 'Department of Information Systems and Management/Center for Economic Research (CentER), Tilburg University, Tilburg, Netherlands', 'institution_ids': ['https://openalex.org/I193700539']}]}], 'institution_assertions': [], 'countries_distinct_count': 1, 'institutions_distinct_count': 1, 'corresponding_author_ids': [], 'corresponding_institution_ids': [], 'apc_list': None, 'apc_paid': None, 'fwci': 3.413, 'has_fulltext': True, 'fulltext_origin': 'ngrams', 'cited_by_count': 93, 'citation_normalized_percentile': {'value': 0.99908, 'is_in_top_1_percent': True, 'is_in_top_10_percent': True}, 'cited_by_percentile_year': {'min': 96, 'max': 97}, 'biblio': {'volume': '1', 'issue': None, 'first_page': '107', 'last_page': '115'}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T11195', 'display_name': 'Simulation Techniques and Applications', 'score': 0.9974, 'subfield': {'id': 'https://openalex.org/subfields/1803', 'display_name': 'Management Science and Operations Research'}, 'field': {'id': 'https://openalex.org/fields/18', 'display_name': 'Decision Sciences'}, 'domain': {'id': 'https://openalex.org/domains/2', 'display_name': 'Social Sciences'}}, 'topics': [{'id': 'https://openalex.org/T11195', 'display_name': 'Simulation Techniques and Applications', 'score': 0.9974, 'subfield': {'id': 'https://openalex.org/subfields/1803', 'display_name': 'Management Science and Operations Research'}, '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/T10848', 'display_name': 'Advanced Multi-Objective Optimization Algorithms', 'score': 0.985, 'subfield': {'id': 'https://openalex.org/subfields/1703', 'display_name': 'Computational Theory and Mathematics'}, 'field': {'id': 'https://openalex.org/fields/17', 'display_name': 'Computer Science'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, {'id': 'https://openalex.org/T10928', 'display_name': 'Probabilistic and Robust Engineering Design', 'score': 0.9397, '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'}}], 'keywords': [{'id': 'https://openalex.org/keywords/latin-hypercube-sampling', 'display_name': 'Latin Hypercube Sampling', 'score': 0.8583382}, {'id': 'https://openalex.org/keywords/metamodeling', 'display_name': 'Metamodeling', 'score': 0.815252}, {'id': 'https://openalex.org/keywords/interpolation', 'display_name': 'Interpolation', 'score': 0.76428753}, {'id': 'https://openalex.org/keywords/variogram', 'display_name': 'Variogram', 'score': 0.6513139}, {'id': 'https://openalex.org/keywords/bootstrapping', 'display_name': 'Bootstrapping (finance)', 'score': 0.5882083}, {'id': 'https://openalex.org/keywords/surrogate-model', 'display_name': 'Surrogate model', 'score': 0.48061198}, {'id': 'https://openalex.org/keywords/design-of-experiments', 'display_name': 'Design of experiments', 'score': 0.41863912}], 'concepts': [{'id': 'https://openalex.org/C81692654', 'wikidata': 'https://www.wikidata.org/wiki/Q225926', 'display_name': 'Kriging', 'level': 2, 'score': 0.9757521}, {'id': 'https://openalex.org/C20820323', 'wikidata': 'https://www.wikidata.org/wiki/Q6496514', 'display_name': 'Latin hypercube sampling', 'level': 3, 'score': 0.8583382}, {'id': 'https://openalex.org/C86610423', 'wikidata': 'https://www.wikidata.org/wiki/Q1925081', 'display_name': 'Metamodeling', 'level': 2, 'score': 0.815252}, {'id': 'https://openalex.org/C137800194', 'wikidata': 'https://www.wikidata.org/wiki/Q11713455', 'display_name': 'Interpolation (computer graphics)', 'level': 3, 'score': 0.76428753}, {'id': 'https://openalex.org/C154881674', 'wikidata': 'https://www.wikidata.org/wiki/Q2269270', 'display_name': 'Variogram', 'level': 3, 'score': 0.6513139}, {'id': 'https://openalex.org/C207609745', 'wikidata': 'https://www.wikidata.org/wiki/Q4944086', 'display_name': 'Bootstrapping (finance)', 'level': 2, 'score': 0.5882083}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.5597124}, {'id': 'https://openalex.org/C131675550', 'wikidata': 'https://www.wikidata.org/wiki/Q7646884', 'display_name': 'Surrogate model', 'level': 2, 'score': 0.48061198}, {'id': 'https://openalex.org/C126255220', 'wikidata': 'https://www.wikidata.org/wiki/Q141495', 'display_name': 'Mathematical optimization', 'level': 1, 'score': 0.46544728}, {'id': 'https://openalex.org/C11413529', 'wikidata': 'https://www.wikidata.org/wiki/Q8366', 'display_name': 'Algorithm', 'level': 1, 'score': 0.43169907}, {'id': 'https://openalex.org/C140779682', 'wikidata': 'https://www.wikidata.org/wiki/Q210868', 'display_name': 'Sampling (signal processing)', 'level': 3, 'score': 0.42270595}, {'id': 'https://openalex.org/C34559072', 'wikidata': 'https://www.wikidata.org/wiki/Q2334061', 'display_name': 'Design of experiments', 'level': 2, 'score': 0.41863912}, {'id': 'https://openalex.org/C33923547', 'wikidata': 'https://www.wikidata.org/wiki/Q395', 'display_name': 'Mathematics', 'level': 0, 'score': 0.3128801}, {'id': 'https://openalex.org/C105795698', 'wikidata': 'https://www.wikidata.org/wiki/Q12483', 'display_name': 'Statistics', 'level': 1, 'score': 0.23085508}, {'id': 'https://openalex.org/C19499675', 'wikidata': 'https://www.wikidata.org/wiki/Q232207', 'display_name': 'Monte Carlo method', 'level': 2, 'score': 0.18691894}, {'id': 'https://openalex.org/C119857082', 'wikidata': 'https://www.wikidata.org/wiki/Q2539', 'display_name': 'Machine learning', 'level': 1, 'score': 0.15893927}, {'id': 'https://openalex.org/C154945302', 'wikidata': 'https://www.wikidata.org/wiki/Q11660', 'display_name': 'Artificial intelligence', 'level': 1, 'score': 0.109187365}, {'id': 'https://openalex.org/C149782125', 'wikidata': 'https://www.wikidata.org/wiki/Q160039', 'display_name': 'Econometrics', 'level': 1, 'score': 0.10439569}, {'id': 'https://openalex.org/C104114177', 'wikidata': 'https://www.wikidata.org/wiki/Q79782', 'display_name': 'Motion (physics)', 'level': 2, 'score': 0.0}, {'id': 'https://openalex.org/C199360897', 'wikidata': 'https://www.wikidata.org/wiki/Q9143', 'display_name': 'Programming language', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C106131492', 'wikidata': 'https://www.wikidata.org/wiki/Q3072260', 'display_name': 'Filter (signal processing)', 'level': 2, 'score': 0.0}, {'id': 'https://openalex.org/C31972630', 'wikidata': 'https://www.wikidata.org/wiki/Q844240', 'display_name': 'Computer vision', 'level': 1, 'score': 0.0}], 'mesh': [], 'locations_count': 1, 'locations': [{'is_oa': False, 'landing_page_url': 'https://doi.org/10.1109/wsc.2004.1371308', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S4363608840', 'display_name': 'Proceedings of Winter Simulation Conference', 'issn_l': None, 'issn': None, 'is_oa': False, 'is_in_doaj': False, 'is_core': False, 'host_organization': None, 'host_organization_name': None, 'host_organization_lineage': [], 'host_organization_lineage_names': [], 'type': 'conference'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}], 'best_oa_location': None, 'sustainable_development_goals': [], 'grants': [], 'datasets': [], 'versions': [], 'referenced_works_count': 29, 'referenced_works': ['https://openalex.org/W1487010959', 'https://openalex.org/W1506962395', 'https://openalex.org/W1529267578', 'https://openalex.org/W1564512587', 'https://openalex.org/W1967795091', 'https://openalex.org/W1969545943', 'https://openalex.org/W1972034416', 'https://openalex.org/W2018044188', 'https://openalex.org/W2024974798', 'https://openalex.org/W2044771513', 'https://openalex.org/W2054352980', 'https://openalex.org/W2056108108', 'https://openalex.org/W2071204941', 'https://openalex.org/W2075377610', 'https://openalex.org/W2082989074', 'https://openalex.org/W2095542589', 'https://openalex.org/W2101754110', 'https://openalex.org/W2128303809', 'https://openalex.org/W2151635674', 'https://openalex.org/W2162424869', 'https://openalex.org/W2605777387', 'https://openalex.org/W2970576388', 'https://openalex.org/W3106889297', 'https://openalex.org/W4229875153', 'https://openalex.org/W4243645092', 'https://openalex.org/W4244773476', 'https://openalex.org/W4249753629', 'https://openalex.org/W4254114241', 'https://openalex.org/W4301028290'], 'related_works': ['https://openalex.org/W4224288656', 'https://openalex.org/W3194493627', 'https://openalex.org/W3147153020', 'https://openalex.org/W3121339476', 'https://openalex.org/W2800575077', 'https://openalex.org/W2731924718', 'https://openalex.org/W2554221179', 'https://openalex.org/W2467179035', 'https://openalex.org/W2202349485', 'https://openalex.org/W2155844929'], 'abstract_inverted_index': {'Many': [0], 'simulation': [1, 27], 'experiments': [2], 'require': [3], 'much': [4], 'computer': [5, 70], 'time,': [6], 'so': [7], 'they': [8], 'necessitate': [9], 'interpolation': [10, 59], 'for': [11, 123], 'sensitivity': [12], 'analysis': [13, 35], 'and': [14, 65, 142], 'optimization.': [15], 'The': [16], 'interpolating': [17], 'functions': [18], 'are': [19, 121], "'metamodels'": [20], '(or': [21], "'response": [22], "surfaces')": [23], 'of': [24], 'the': [25, 54, 86, 115], 'underlying': [26], 'models.': [28], 'Classic': [29], 'methods': [30], 'combine': [31], 'low-order': [32], 'polynomial': [33], 'regression': [34, 103], 'with': [36], 'fractional': [37], 'factorial': [38], 'designs.': [39], 'Modern': [40], 'Kriging': [41, 77, 83, 96, 106, 116], 'provides': [42], "'exact'": [43], 'interpolation,': [44], 'i.e.,': [45, 90], 'predicted': [46], 'output': [47, 56], 'values': [48], 'at': [49], 'inputs': [50], 'already': [51], 'observed': [52], 'equal': [53], 'simulated': [55], 'values.': [57], 'Such': [58], 'is': [60, 66, 92], 'attractive': [61], 'in': [62, 69], 'deterministic': [63], 'simulation,': [64, 75], 'often': [67, 97], 'applied': [68], 'aided': [71], 'engineering.': [72], 'In': [73], 'discrete-event': [74], 'however,': [76], 'has': [78], 'just': [79], 'started.': [80], 'Methodologically,': [81], 'a': [82], 'metamodel': [84], 'covers': [85], 'whole': [87], 'experimental': [88], 'area;': [89], 'it': [91], 'global': [93, 100], '(not': [94], 'local).': [95], 'gives': [98, 107], 'better': [99], 'predictions': [101], 'than': [102], 'analysis.': [104], 'Technically,': [105], 'more': [108], 'weight': [109], 'to': [110], "'neighboring'": [111], 'observations.': [112], 'To': [113], 'estimate': [114], 'metamodel,': [117], 'space': [118], 'filling': [119], 'designs': [120, 138], 'used;': [122], 'example,': [124], 'latin': [125], 'hypercube': [126], 'sampling': [127], '(LHS).': [128], 'This': [129], 'paper': [130], 'also': [131], 'presents': [132], 'novel,': [133], 'customized': [134], '(application': [135], 'driven)': [136], 'sequential': [137], 'based': [139], 'on': [140], 'cross-validation': [141], 'bootstrapping.': [143]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W4247222564', 'counts_by_year': [{'year': 2024, 'cited_by_count': 4}, {'year': 2023, 'cited_by_count': 10}, {'year': 2022, 'cited_by_count': 5}, {'year': 2021, 'cited_by_count': 4}, {'year': 2020, 'cited_by_count': 3}, {'year': 2019, 'cited_by_count': 7}, {'year': 2018, 'cited_by_count': 7}, {'year': 2017, 'cited_by_count': 3}, {'year': 2016, 'cited_by_count': 6}, {'year': 2015, 'cited_by_count': 6}, {'year': 2014, 'cited_by_count': 7}, {'year': 2013, 'cited_by_count': 6}, {'year': 2012, 'cited_by_count': 2}], 'updated_date': '2024-12-12T23:20:11.876464', 'created_date': '2022-05-12'}