{"id":"https://openalex.org/W2492912650","doi":"https://doi.org/10.1515/ijcss-2016-0002","title":"Performance Analysis in Table Tennis - Stochastic Simulation by Numerical Derivation","display_name":"Performance Analysis in Table Tennis - Stochastic Simulation by Numerical Derivation","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2492912650","doi":"https://doi.org/10.1515/ijcss-2016-0002","mag":"2492912650"},"language":"en","primary_location":{"id":"doi:10.1515/ijcss-2016-0002","is_oa":true,"landing_page_url":"https://doi.org/10.1515/ijcss-2016-0002","pdf_url":"https://content.sciendo.com/downloadpdf/journals/ijcss/15/1/article-p22.pdf","source":{"id":"https://openalex.org/S4306514246","display_name":"Int. J. Comput. Sci. Sport","issn_l":"1684-4769","issn":["1684-4769"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Science in Sport","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://content.sciendo.com/downloadpdf/journals/ijcss/15/1/article-p22.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007731145","display_name":"Simon Wenninger","orcid":"https://orcid.org/0000-0002-7565-3562"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"S. Wenninger","raw_affiliation_strings":["Department of Training Science and Sport Informatics, Technische Universit\u00e4t M\u00fcnchen"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Training Science and Sport Informatics, Technische Universit\u00e4t M\u00fcnchen","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015196087","display_name":"Martin Lames","orcid":"https://orcid.org/0000-0002-0249-2884"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"M. Lames","raw_affiliation_strings":["Department of Training Science and Sport Informatics, Technische Universit\u00e4t M\u00fcnchen"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Training Science and Sport Informatics, Technische Universit\u00e4t M\u00fcnchen","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I62916508"],"apc_list":null,"apc_paid":null,"fwci":5.308,"has_fulltext":true,"cited_by_count":27,"citation_normalized_percentile":{"value":0.95895708,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"15","issue":"1","first_page":"22","last_page":"36"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10157","display_name":"Sports Performance and Training","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2732","display_name":"Orthopedics and Sports Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12677","display_name":"Sports Dynamics and Biomechanics","score":0.9790999889373779,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/table","display_name":"Table (database)","score":0.9013766646385193},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.7354840040206909},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.610166072845459},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.4085475206375122},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.12399798631668091},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.11620426177978516}],"concepts":[{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.9013766646385193},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.7354840040206909},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.610166072845459},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.4085475206375122},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.12399798631668091},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.11620426177978516}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1515/ijcss-2016-0002","is_oa":true,"landing_page_url":"https://doi.org/10.1515/ijcss-2016-0002","pdf_url":"https://content.sciendo.com/downloadpdf/journals/ijcss/15/1/article-p22.pdf","source":{"id":"https://openalex.org/S4306514246","display_name":"Int. J. Comput. Sci. Sport","issn_l":"1684-4769","issn":["1684-4769"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Science in Sport","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:091ef17a6f74460fa483315c031c599c","is_oa":false,"landing_page_url":"https://doaj.org/article/091ef17a6f74460fa483315c031c599c","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Computer Science in Sport, Vol 15, Iss 1, Pp 22-36 (2016)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1515/ijcss-2016-0002","is_oa":true,"landing_page_url":"https://doi.org/10.1515/ijcss-2016-0002","pdf_url":"https://content.sciendo.com/downloadpdf/journals/ijcss/15/1/article-p22.pdf","source":{"id":"https://openalex.org/S4306514246","display_name":"Int. J. Comput. Sci. Sport","issn_l":"1684-4769","issn":["1684-4769"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Science in Sport","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2492912650.pdf","grobid_xml":"https://content.openalex.org/works/W2492912650.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W50633955","https://openalex.org/W2022113252","https://openalex.org/W2037337269","https://openalex.org/W2071727800","https://openalex.org/W2101889938","https://openalex.org/W2134729963","https://openalex.org/W2168287108","https://openalex.org/W2186218421","https://openalex.org/W2319994415","https://openalex.org/W2489076241","https://openalex.org/W2623363880","https://openalex.org/W2724005310","https://openalex.org/W2796837256","https://openalex.org/W2899732928","https://openalex.org/W2966429603","https://openalex.org/W4248622118","https://openalex.org/W4252227983","https://openalex.org/W4285719527","https://openalex.org/W6684419377","https://openalex.org/W6756167052","https://openalex.org/W7070673994"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2359068514","https://openalex.org/W2373668538","https://openalex.org/W2056254149","https://openalex.org/W2385034530","https://openalex.org/W2389529561","https://openalex.org/W2345560877","https://openalex.org/W2492912650","https://openalex.org/W4361819737","https://openalex.org/W2597081666"],"abstract_inverted_index":{"Abstract":[0],"The":[1,22],"aim":[2],"of":[3,11,44,68,108,115],"this":[4],"study":[5],"was":[6,25],"to":[7,52,56,64],"identify":[8],"the":[9,16,54,66,73,82,98,105,112],"impact":[10],"different":[12],"tactical":[13,69],"behaviors":[14],"on":[15,72,111],"winning":[17,113],"probability":[18,114],"in":[19,62,88],"table":[20,37,89],"tennis.":[21,90],"performance":[23],"analysis":[24],"done":[26],"by":[27,42],"mathematical":[28,76],"simulation":[29,47],"using":[30,49],"a":[31,45,58],"Markov":[32],"chain":[33],"model.":[34],"259":[35],"high-level":[36],"tennis":[38],"games":[39],"were":[40],"evaluated":[41],"means":[43],"new":[46],"approach":[48],"numerical":[50],"derivation":[51],"remove":[53],"necessity":[55],"perform":[57],"second":[59],"modeling":[60],"step":[61],"order":[63],"determine":[65],"difficulty":[67],"behaviors.":[70],"Based":[71],"derivation,":[74],"several":[75],"constructs":[77],"like":[78],"directional":[79],"derivations":[80],"and":[81,94],"gradient":[83],"are":[84],"examined":[85],"for":[86],"application":[87],"Results":[91],"reveal":[92],"errors":[93],"long":[95],"rallies":[96],"as":[97],"most":[99],"influencing":[100],"game":[101],"situations,":[102],"together":[103],"with":[104],"positive":[106],"effect":[107],"risky":[109],"play":[110],"losing":[116],"players.":[117]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
