{"id":"https://openalex.org/W2342176091","doi":"https://doi.org/10.1145/2908131.2908185","title":"C <sup>3</sup> -index","display_name":"C <sup>3</sup> -index","publication_year":2016,"publication_date":"2016-05-18","ids":{"openalex":"https://openalex.org/W2342176091","doi":"https://doi.org/10.1145/2908131.2908185","mag":"2342176091"},"language":"en","primary_location":{"id":"doi:10.1145/2908131.2908185","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2908131.2908185","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th ACM Conference on Web Science","raw_type":"proceedings-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/A5046388949","display_name":"Dinesh K. Pradhan","orcid":"https://orcid.org/0000-0001-9132-9255"},"institutions":[{"id":"https://openalex.org/I155837530","display_name":"National Institute of Technology Durgapur","ror":"https://ror.org/04ds0jm32","country_code":"IN","type":"education","lineage":["https://openalex.org/I155837530"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Dinesh Pradhan","raw_affiliation_strings":["NIT Durgapur, India"],"affiliations":[{"raw_affiliation_string":"NIT Durgapur, India","institution_ids":["https://openalex.org/I155837530"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001762789","display_name":"Partha Sarathi Paul","orcid":"https://orcid.org/0000-0002-8445-3650"},"institutions":[{"id":"https://openalex.org/I155837530","display_name":"National Institute of Technology Durgapur","ror":"https://ror.org/04ds0jm32","country_code":"IN","type":"education","lineage":["https://openalex.org/I155837530"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Partha Sarathi Paul","raw_affiliation_strings":["NIT Durgapur, India"],"affiliations":[{"raw_affiliation_string":"NIT Durgapur, India","institution_ids":["https://openalex.org/I155837530"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046183586","display_name":"Umesh Maheswari","orcid":null},"institutions":[{"id":"https://openalex.org/I155837530","display_name":"National Institute of Technology Durgapur","ror":"https://ror.org/04ds0jm32","country_code":"IN","type":"education","lineage":["https://openalex.org/I155837530"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Umesh Maheswari","raw_affiliation_strings":["NIT Durgapur, India"],"affiliations":[{"raw_affiliation_string":"NIT Durgapur, India","institution_ids":["https://openalex.org/I155837530"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101813549","display_name":"Subrata Nandi","orcid":"https://orcid.org/0000-0002-8743-4770"},"institutions":[{"id":"https://openalex.org/I155837530","display_name":"National Institute of Technology Durgapur","ror":"https://ror.org/04ds0jm32","country_code":"IN","type":"education","lineage":["https://openalex.org/I155837530"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Subrata Nandi","raw_affiliation_strings":["NIT Durgapur, India"],"affiliations":[{"raw_affiliation_string":"NIT Durgapur, India","institution_ids":["https://openalex.org/I155837530"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046521217","display_name":"Tanmoy Chakraborty","orcid":"https://orcid.org/0000-0002-0210-0369"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tanmoy Chakraborty","raw_affiliation_strings":["University of Maryland"],"affiliations":[{"raw_affiliation_string":"University of Maryland","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5046388949"],"corresponding_institution_ids":["https://openalex.org/I155837530"],"apc_list":null,"apc_paid":null,"fwci":1.8056,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.85496781,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"318","last_page":"319"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9934999942779541,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9934999942779541,"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/T13274","display_name":"Expert finding and Q&A systems","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10102","display_name":"scientometrics and bibliometrics research","score":0.9749000072479248,"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/index","display_name":"Index (typography)","score":0.7870946526527405},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7842276096343994},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.7614433765411377},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.6611050367355347},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6490374207496643},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5272917747497559},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.42588990926742554},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4198354184627533},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.30181002616882324},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2623823285102844},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25061750411987305},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15075957775115967},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.14871808886528015},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.09339618682861328},{"id":"https://openalex.org/keywords/operations-management","display_name":"Operations management","score":0.06584826111793518}],"concepts":[{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.7870946526527405},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7842276096343994},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7614433765411377},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.6611050367355347},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6490374207496643},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5272917747497559},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.42588990926742554},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4198354184627533},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.30181002616882324},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2623823285102844},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25061750411987305},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15075957775115967},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.14871808886528015},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.09339618682861328},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.06584826111793518}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2908131.2908185","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2908131.2908185","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th ACM Conference on Web Science","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1974605302","https://openalex.org/W2022322548","https://openalex.org/W2071167245","https://openalex.org/W2136965375","https://openalex.org/W2169089330","https://openalex.org/W3106114274","https://openalex.org/W6643987731"],"related_works":["https://openalex.org/W4255837520","https://openalex.org/W2387011115","https://openalex.org/W2188500270","https://openalex.org/W2303858293","https://openalex.org/W2152992791","https://openalex.org/W4234808182","https://openalex.org/W51364034","https://openalex.org/W3160516639","https://openalex.org/W2898073868","https://openalex.org/W4284663758"],"abstract_inverted_index":{"Author":[0],"ranking":[1,13],"indices,":[2],"like":[3],"h-index":[4],"and":[5,49],"its":[6],"variants,":[7],"fail":[8],"to":[9,54,89,101],"resolve":[10],"ties":[11,91],"while":[12],"authors":[14],"with":[15],"low":[16,93],"index":[17],"values":[18],"(major":[19],"volume":[20],"including":[21],"the":[22,30,106],"young":[23],"ones).":[24],"In":[25],"this":[26],"work":[27],"we":[28,76],"leverage":[29],"citations":[31],"as":[32,34],"well":[33],"collaboration":[35],"profile":[36],"of":[37,72,109],"an":[38],"author":[39,58],"in":[40],"a":[41,45,51,56,64],"novel":[42],"way":[43],"using":[44],"weighted":[46],"multi-layered":[47],"network":[48],"propose":[50],"page-rank":[52],"variant":[53],"obtain":[55],"new":[57],"performance":[59],"measure,":[60],"C3-index.":[61],"Experiments":[62],"on":[63],"massive":[65],"publication":[66],"dataset":[67],"reveal":[68],"several":[69],"interesting":[70],"characteristics":[71],"our":[73],"metric:":[74],"(i)":[75],"observe":[77],"that":[78],"C3-index":[79,85,97],"is":[80],"consistent":[81],"over":[82],"time,":[83],"(ii)":[84],"has":[86],"high":[87],"potential":[88],"break":[90],"among":[92],"rank":[94],"authors,":[95],"(iii)":[96],"can":[98],"be":[99],"used":[100],"predict":[102],"future":[103],"achievers":[104],"at":[105],"early":[107],"stage":[108],"their":[110],"career.":[111]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2}],"updated_date":"2026-03-23T06:02:50.125483","created_date":"2025-10-10T00:00:00"}