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Citing for high impact

Published: 21 June 2010 Publication History

Abstract

The question of citation behavior has always intrigued scientists from various disciplines. While general citation patterns have been widely studied in the literature we develop the notion of citation projection graphs by investigating the citations among the publications that a given paper cites. We investigate how patterns of citations vary between various scientific disciplines and how such patterns reflect the scientific impact of the paper. We find that idiosyncratic citation patterns are characteristic for low impact papers; while narrow, discipline-focused citation patterns are common for medium impact papers. Our results show that crossing-community, or bridging citation patters are high risk and high reward since such patterns are characteristic for both low and high impact papers. Last, we observe that recently citation networks are trending toward more bridging and interdisciplinary forms.

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cover image ACM Conferences
JCDL '10: Proceedings of the 10th annual joint conference on Digital libraries
June 2010
424 pages
ISBN:9781450300858
DOI:10.1145/1816123
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 21 June 2010

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  1. citation networks
  2. citation projection
  3. publication impact

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  • Research-article

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JCDL10
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JCDL10: Joint Conference on Digital Libraries
June 21 - 25, 2010
Queensland, Gold Coast, Australia

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Overall Acceptance Rate 415 of 1,482 submissions, 28%

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  • (2024)Networking a career: Individual adaptation in the network ecology of facultySocial Networks10.1016/j.socnet.2022.04.00277(166-179)Online publication date: May-2024
  • (2023)How New Ideas Diffuse in ScienceAmerican Sociological Review10.1177/0003122423116695588:3(522-561)Online publication date: 28-Apr-2023
  • (2021)Facets of Specialization and Its Relation to Career Success: An Analysis of U.S. Sociology, 1980 to 2015American Sociological Review10.1177/0003122421105626786:6(1164-1192)Online publication date: 29-Nov-2021
  • (2020)Co-citations in context: Disciplinary heterogeneity is relevantQuantitative Science Studies10.1162/qss_a_000071:1(264-276)Online publication date: Feb-2020
  • (2020)Investigating collaboration in ubiquitous computing researchCCF Transactions on Pervasive Computing and Interaction10.1007/s42486-020-00029-zOnline publication date: 14-Feb-2020
  • (2020)Evaluating semantometrics from computer science publicationsScientometrics10.1007/s11192-020-03409-5Online publication date: 18-Mar-2020
  • (2020)A novel agent-based, evolutionary model for expressing the dynamics of creative open-problem solving in small groupsApplied Intelligence10.1007/s10489-020-01919-6Online publication date: 27-Oct-2020
  • (2018)Cross-language Citation Recommendation via Hierarchical Representation Learning on Heterogeneous GraphThe 41st International ACM SIGIR Conference on Research & Development in Information Retrieval10.1145/3209978.3210032(635-644)Online publication date: 27-Jun-2018
  • (2018)Prediction for Citation and Publication Count Using Regression Analysis2018 2nd International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), 2018 2nd International Conference on10.1109/I-SMAC.2018.8653719(460-463)Online publication date: Aug-2018
  • (2017)StructInfProceedings of the Thirty-First AAAI Conference on Artificial Intelligence10.5555/3298239.3298251(73-79)Online publication date: 4-Feb-2017
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