Lecture Notes in Computer Science Journal Impact Factor & Information

Publisher: Springer Verlag

Journal description

The series Lecture Notes in Computer Science (LNCS), including its subseries Lecture Notes in Artificial Intelligence (LNAI) and Lecture Notes in Bioinformatics (LNBI), has established itself as a medium for the publication of new developments in computer science and information technology research and teaching - quickly, informally, and at a high level. The cornerstone of LNCS's editorial policy is its unwavering commitment to report the latest results from all areas of computer science and information technology research, development, and education. LNCS has always enjoyed close cooperation with the computer science R & D community, with numerous renowned academics, and with prestigious institutes and learned societies. Our mission is to serve this community by providing a most valuable publication service.

Current impact factor: 0.51

Impact Factor Rankings

2015 Impact Factor Available summer 2015
2005 Impact Factor 0.302
2004 Impact Factor 0.251
2002 Impact Factor 0.515
2001 Impact Factor 0.415
2000 Impact Factor 0.253
1999 Impact Factor 0.53

Impact factor over time

Impact factor

Additional details

5-year impact 0.00
Cited half-life 0.00
Immediacy index 0.00
Eigenfactor 0.00
Article influence 0.00
Website Lecture Notes in Computer Science website
Other titles Lecture notes in computer science, Lecture notes in artificial intelligence, Lecture notes in computer science
ISSN 0302-9743
OCLC 3719235
Material type Series, Internet resource
Document type Journal / Magazine / Newspaper, Internet Resource

Publisher details

Springer Verlag

  • Pre-print
    • Author can archive a pre-print version
  • Post-print
    • Author can archive a post-print version
  • Conditions
    • Author's pre-print on pre-print servers such as arXiv.org
    • Author's post-print on author's personal website immediately
    • Author's post-print on any open access repository after 12 months after publication
    • Publisher's version/PDF cannot be used
    • Published source must be acknowledged
    • Must link to publisher version
    • Set phrase to accompany link to published version (see policy)
    • Articles in some journals can be made Open Access on payment of additional charge
  • Classification
    ​ green

Publications in this journal

  • Lecture Notes in Computer Science 08/2015;
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    ABSTRACT: The growing need to support financially the processes of urban regeneration of city centers clashes with the limited availability of public resources. Administrations are therefore forced to evaluate the priority areas of intervention, on the one hand trying to pursue goals of social equity, other actions to promote efficient financial plan. Consequently the reference institutional policy of intervention is based on regulatory frameworks that require a closer integration of programming needs of the allocation of resources, and social needs. The chapter shows an example of conciliation among the seek for efficiency and for social equality in choosing priority of intervention in the urban make up of historic centers.
    Lecture Notes in Computer Science 07/2015; 9157(III):317-329. DOI:10.1007/978-3-319-21470-2_22
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    ABSTRACT: In the current economic situation, characterized by a high uncertainty in the appraisal of property values, the need of “slender” models able to operate even on limited data, to automatically capture the causal relations between explanatory variables and selling prices and to predict property values in the short term, is increasingly widespread. In addition to Artificial Neural Networks (ANN), that satisfy these prerogatives, recently, in some fields of Civil Engineering an hybrid data-driven technique has been implemented, called Evolutionary Polynomial Regression (EPR), that combines the effectiveness of Genetic Programming with the advantage of classical numerical regression. In the present paper, ANN methods and the EPR procedure are compared for the construction of estimation models of real estate market values. With reference to a sample of residential apartments recently sold in a district of the city of Bari (Italy), two estimation models of market value are implemented, one based on ANN and another using EPR, in order to test the respective performance. The analysis has highlighted the preferability of the EPR model in terms of statistical accuracy, empirical verification of results obtained and reduction of the complexity of the mathematical expression.
    Lecture Notes in Computer Science 07/2015; 9157(III):194-215. DOI:10.1007/978-3-319-21470-2_14
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    ABSTRACT: Spatial data mining, space-temporal modelling and visual exploratory data analysis are tools that are useful not only for the analysis of multi-characteristics spatial data, but can also be used for the development of Spatial Decision Support Systems. Such system enables the optimisation of decision-making based on a thorough Spatial Multicriteria Decision Analysis. The authors of the present study have developed a set of multicriteria analyses with use of spatial data mining (SDM) techniques for the analysis of the spatial distribution of the allocation and spending of EU funds in Poland. The ten-year period of Poland’s membership in the EU enables not only the analysis of spatial differentiation of EU subsidies in different regions of the country, but also the dynamics of changes in this differentiation in time. The proposed analytical system based on information technologies combines the possibilities offered by GIS packages and advanced statistical software, thus enabling to conduct highly complex analyses. One of the methods to carry out such analysis is the application of so-called data mining and data enrichment to detect patterns, rules and structures “hidden” in the database.
    Lecture Notes in Computer Science 06/2015; 9157:576-590. DOI:10.1007/978-3-319-21470-2_42
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    ABSTRACT: In recent years, people’s need to participate to decision making, especially when it concerns inalienable human rights such as health and living in a healthy environment, has become increasingly manifest. In order to meet the request for environmental information sharing on the web and to make citizens feel “partakers” in the development of environmental policies, the Physical Agents Simple Operative Unit of ARPA Puglia, developed an open source WebGIS as a communication, participation and working tool for both Citizens and Technicians. This paper proposes an efficient approach to customize and integrate an open source WebGIS system based on MapServer and Pmapper. The layout of the WebGIS was customized by filling pages in Cascading Style Sheets (CSS) to make it intuitive and easy to use. The features offered are those commonly provided by a WebGIS system, in particular: geographical navigation (pan, zoom, zoom to selection), query time and multiple layers, transparency level options, printing and exporting of current image views or pdf files. Environmental data results from a query can be downloaded in pdf, kml and shp formats. The possibility to download files is a key component of the system as it allows the average expert user to find data in an easily and processable format.
    Lecture Notes in Computer Science 06/2015; DOI:10.1007/978-3-319-21470-2_40
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    ABSTRACT: In this paper we present numerical methods for solving a non-linear time-fractional parabolic model. To cope with non-local in time nature of the problem, we exploit the idea of the two-grid method and develop fast numerical algorithms. Moreover, we show that suitable modifications of the standard two-grid technique lead to significant reduction of the computational time. Numerical results are also discussed.
    Lecture Notes in Computer Science 06/2015; 9045:257-265. DOI:10.1007/978-3-319-20239-6_27
  • Lecture Notes in Computer Science 06/2015; DOI:10.1007/978-3-319-19581-0_11