메뉴 건너뛰기




Volumn 9286, Issue , 2015, Pages 259-263

Will this paper increase your h-index?

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; FORECASTING; LEARNING SYSTEMS; PUBLISHING;

EID: 84984633247     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-23461-8_26     Document Type: Conference Paper
Times cited : (6)

References (3)
  • 1
    • 84928720307 scopus 로고    scopus 로고
    • Will this paper increase your h-index?: Scientific impact prediction
    • ACM, New York
    • Dong, Y., Johnson, R.A., Chawla, N.V.: Will this paper increase your h-index?: Scientific impact prediction. In: WSDM 2015, pp. 149–158. ACM, New York (2015)
    • (2015) WSDM 2015 , pp. 149-158
    • Dong, Y.1    Johnson, R.A.2    Chawla, N.V.3
  • 2
    • 28044445101 scopus 로고    scopus 로고
    • An index to quantify an individual’s scientific research output
    • Hirsch, J.E.: An index to quantify an individual’s scientific research output. PNAS 102(46), 16569–16572 (2005)
    • (2005) PNAS , vol.102 , Issue.46 , pp. 16569-16572
    • Hirsch, J.E.1
  • 3
    • 65449166085 scopus 로고    scopus 로고
    • ArnetMiner: Extraction and mining of academic social networks
    • Tang, J., Zhang, J., Yao, L., Li, J., Zhang, L., Su, Z.: ArnetMiner: Extraction and mining of academic social networks. In: KDD 2008, pp. 990–998 (2008)
    • (2008) KDD 2008 , pp. 990-998
    • Tang, J.1    Zhang, J.2    Yao, L.3    Li, J.4    Zhang, L.5    Su, Z.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.