{"id":"https://openalex.org/W2052037654","doi":"https://doi.org/10.1145/1925041.1925054","title":"Boosting productivity with the Boost Graph Library","display_name":"Boosting productivity with the Boost Graph Library","publication_year":2011,"publication_date":"2011-03-01","ids":{"openalex":"https://openalex.org/W2052037654","doi":"https://doi.org/10.1145/1925041.1925054","mag":"2052037654"},"language":"en","primary_location":{"id":"doi:10.1145/1925041.1925054","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1925041.1925054","pdf_url":null,"source":{"id":"https://openalex.org/S4210181451","display_name":"XRDS Crossroads The ACM Magazine for Students","issn_l":"1528-4972","issn":["1528-4972","1528-4980"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"XRDS: Crossroads, The ACM Magazine for Students","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056879060","display_name":"Dmitry Batenkov","orcid":"https://orcid.org/0000-0003-2679-0138"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Dmitry Batenkov","raw_affiliation_strings":[""],"affiliations":[{"raw_affiliation_string":"","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5056879060"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0502,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.7800495,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"17","issue":"3","first_page":"31","last_page":"32"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.9746000170707703,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.9746000170707703,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9405999779701233,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9391000270843506,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.7681319713592529},{"id":"https://openalex.org/keywords/productivity","display_name":"Productivity","score":0.5525496006011963},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.45918458700180054},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4485814869403839},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.36019426584243774},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3381343483924866},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30482906103134155},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.280104398727417},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.2666553854942322},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1731189787387848},{"id":"https://openalex.org/keywords/economic-growth","display_name":"Economic growth","score":0.08343300223350525}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.7681319713592529},{"id":"https://openalex.org/C204983608","wikidata":"https://www.wikidata.org/wiki/Q2111958","display_name":"Productivity","level":2,"score":0.5525496006011963},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.45918458700180054},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4485814869403839},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.36019426584243774},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3381343483924866},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30482906103134155},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.280104398727417},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.2666553854942322},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1731189787387848},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.08343300223350525}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1925041.1925054","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1925041.1925054","pdf_url":null,"source":{"id":"https://openalex.org/S4210181451","display_name":"XRDS Crossroads The ACM Magazine for Students","issn_l":"1528-4972","issn":["1528-4972","1528-4980"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"XRDS: Crossroads, The ACM Magazine for Students","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2948340715","https://openalex.org/W3107474891","https://openalex.org/W1998940060","https://openalex.org/W4206452239","https://openalex.org/W2382510858","https://openalex.org/W2255183448","https://openalex.org/W2003125512","https://openalex.org/W109826989","https://openalex.org/W1533368116","https://openalex.org/W2010832783"],"abstract_inverted_index":{"No":[0],"abstract":[1],"available.":[2]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
