{"id":"https://openalex.org/W2969558106","doi":"https://doi.org/10.1007/978-3-030-29436-6_27","title":"Old or Heavy? Decaying Gracefully with Age/Weight Shapes","display_name":"Old or Heavy? Decaying Gracefully with Age/Weight Shapes","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2969558106","doi":"https://doi.org/10.1007/978-3-030-29436-6_27","mag":"2969558106"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-29436-6_27","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-29436-6_27","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://pure.manchester.ac.uk/ws/files/114539642/paper.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080196917","display_name":"Michael Rawson","orcid":"https://orcid.org/0000-0001-7834-1567"},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Michael Rawson","raw_affiliation_strings":["University of Manchester, Manchester, UK"],"affiliations":[{"raw_affiliation_string":"University of Manchester, Manchester, UK","institution_ids":["https://openalex.org/I28407311"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052066515","display_name":"Giles Reger","orcid":"https://orcid.org/0000-0001-6353-952X"},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Giles Reger","raw_affiliation_strings":["University of Manchester, Manchester, UK"],"affiliations":[{"raw_affiliation_string":"University of Manchester, Manchester, UK","institution_ids":["https://openalex.org/I28407311"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5080196917"],"corresponding_institution_ids":["https://openalex.org/I28407311"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":2.2035,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.90369554,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"462","last_page":"476"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10126","display_name":"Logic, programming, and type systems","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10126","display_name":"Logic, programming, and type systems","score":0.9995999932289124,"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/T10142","display_name":"Formal Methods in Verification","score":0.9988999962806702,"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/T11010","display_name":"Logic, Reasoning, and Knowledge","score":0.9966999888420105,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/mathematical-proof","display_name":"Mathematical proof","score":0.7262174487113953},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5084820985794067},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4952217638492584},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4781009554862976},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43020766973495483},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4283732771873474},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.41645199060440063},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1580093502998352},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.11680078506469727}],"concepts":[{"id":"https://openalex.org/C108710211","wikidata":"https://www.wikidata.org/wiki/Q11538","display_name":"Mathematical proof","level":2,"score":0.7262174487113953},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5084820985794067},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4952217638492584},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4781009554862976},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43020766973495483},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4283732771873474},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41645199060440063},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1580093502998352},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.11680078506469727},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/978-3-030-29436-6_27","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-29436-6_27","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:pure.atira.dk:openaire/e39f43a1-1e6f-4214-ba54-43ce111d6911","is_oa":true,"landing_page_url":"https://research.manchester.ac.uk/en/publications/e39f43a1-1e6f-4214-ba54-43ce111d6911","pdf_url":"https://pure.manchester.ac.uk/ws/files/114539642/paper.pdf","source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Rawson, M & Reger, G 2019, Old or Heavy? Decaying Gracefully with Age/Weight Shapes. in Automated Deduction \u2013 CADE 27. Lecture Notes in Computer Science, vol. 11716, The 27th International Conference on Automated Deduction , Natal, Brazil, 23/08/19. https://doi.org/10.1007/978-3-030-29436-6_27","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:pure.atira.dk:publications/e39f43a1-1e6f-4214-ba54-43ce111d6911","is_oa":false,"landing_page_url":"https://www.research.manchester.ac.uk/portal/en/publications/old-or-heavy-decaying-gracefully-with-ageweight-shapes(e39f43a1-1e6f-4214-ba54-43ce111d6911).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:openaire/e39f43a1-1e6f-4214-ba54-43ce111d6911","is_oa":true,"landing_page_url":"https://research.manchester.ac.uk/en/publications/e39f43a1-1e6f-4214-ba54-43ce111d6911","pdf_url":"https://pure.manchester.ac.uk/ws/files/114539642/paper.pdf","source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Rawson, M & Reger, G 2019, Old or Heavy? Decaying Gracefully with Age/Weight Shapes. in Automated Deduction \u2013 CADE 27. Lecture Notes in Computer Science, vol. 11716, The 27th International Conference on Automated Deduction , Natal, Brazil, 23/08/19. https://doi.org/10.1007/978-3-030-29436-6_27","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2969558106.pdf","grobid_xml":"https://content.openalex.org/works/W2969558106.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W1781094","https://openalex.org/W26338302","https://openalex.org/W333834217","https://openalex.org/W1500227673","https://openalex.org/W1521419290","https://openalex.org/W1523376837","https://openalex.org/W1661099014","https://openalex.org/W1689403734","https://openalex.org/W1780472831","https://openalex.org/W2126869384","https://openalex.org/W2399785175","https://openalex.org/W2460200316","https://openalex.org/W2470240105","https://openalex.org/W2578089424","https://openalex.org/W2588018425","https://openalex.org/W2788710698","https://openalex.org/W2908288183"],"related_works":["https://openalex.org/W2808944898","https://openalex.org/W3196207352","https://openalex.org/W2951724202","https://openalex.org/W3084261076","https://openalex.org/W2378211422","https://openalex.org/W1996614773","https://openalex.org/W4387820098","https://openalex.org/W2576399385","https://openalex.org/W2963408011","https://openalex.org/W4236324517"],"abstract_inverted_index":null,"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-19T08:26:33.389920","created_date":"2025-10-10T00:00:00"}