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Artificial Intelligence And Law

Artificial Intelligence And LawSCIESSCI

国际简称:ARTIF INTELL LAW  参考译名:人工智能与法律

  • 中科院分区

    2区

  • CiteScore分区

    Q1

  • JCR分区

    Q1

基本信息:
ISSN:0924-8463
E-ISSN:1572-8382
是否OA:未开放
是否预警:否
TOP期刊:是
出版信息:
出版地区:NETHERLANDS
出版商:SPRINGER
出版语言:English
出版周期:4 issues per year
研究方向:Multiple
评价信息:
影响因子:3.1
CiteScore指数:9.5
SJR指数:1.501
SNIP指数:3.467
发文数据:
Gold OA文章占比:40.82%
研究类文章占比:97.44%
年发文量:39
自引率:0.2682...
开源占比:0.4066
出版撤稿占比:0
出版国人文章占比:0
OA被引用占比:0.3902...
英文简介 期刊介绍 CiteScore数据 中科院SCI分区 JCR分区 发文数据 常见问题

英文简介Artificial Intelligence And Law期刊介绍

Artificial Intelligence and Law is an international forum for the dissemination of original interdisciplinary research in the following areas: Theoretical or empirical studies in artificial intelligence (AI), cognitive psychology, jurisprudence, linguistics, or philosophy which address the development of formal or computational models of legal knowledge, reasoning, and decision making. In-depth studies of innovative artificial intelligence systems that are being used in the legal domain. Studies which address the legal, ethical and social implications of the field of Artificial Intelligence and Law.

Topics of interest include, but are not limited to, the following: Computational models of legal reasoning and decision making; judgmental reasoning, adversarial reasoning, case-based reasoning, deontic reasoning, and normative reasoning. Formal representation of legal knowledge: deontic notions, normative

modalities, rights, factors, values, rules. Jurisprudential theories of legal reasoning. Specialized logics for law. Psychological and linguistic studies concerning legal reasoning. Legal expert systems; statutory systems, legal practice systems, predictive systems, and normative systems. AI and law support for legislative drafting, judicial decision-making, and

public administration. Intelligent processing of legal documents; conceptual retrieval of cases and statutes, automatic text understanding, intelligent document assembly systems, hypertext, and semantic markup of legal documents. Intelligent processing of legal information on the World Wide Web, legal ontologies, automated intelligent legal agents, electronic legal institutions, computational models of legal texts. Ramifications for AI and Law in e-Commerce, automatic contracting and negotiation, digital rights management, and automated dispute resolution. Ramifications for AI and Law in e-governance, e-government, e-Democracy, and knowledge-based systems supporting public services, public dialogue and mediation. Intelligent computer-assisted instructional systems in law or ethics. Evaluation and auditing techniques for legal AI systems. Systemic problems in the construction and delivery of legal AI systems. Impact of AI on the law and legal institutions. Ethical issues concerning legal AI systems. In addition to original research contributions, the Journal will include a Book Review section, a series of Technology Reports describing existing and emerging products, applications and technologies, and a Research Notes section of occasional essays posing interesting and timely research challenges for the field of Artificial Intelligence and Law. Financial support for the Journal of Artificial Intelligence and Law is provided by the University of Pittsburgh School of Law.

期刊简介Artificial Intelligence And Law期刊介绍

《Artificial Intelligence And Law》是一本社会学优秀杂志。致力于发表原创科学研究结果,并为社会学各个领域的原创研究提供一个展示平台,以促进社会学领域的的进步。该刊鼓励先进的、清晰的阐述,从广泛的视角提供当前感兴趣的研究主题的新见解,或审查多年来某个重要领域的所有重要发展。该期刊特色在于及时报道社会学领域的最新进展和新发现新突破等。该刊近一年未被列入预警期刊名单,目前已被权威数据库SCIE、SSCI收录,得到了广泛的认可。

该期刊投稿重要关注点:

Cite Score数据(2024年最新版)Artificial Intelligence And Law Cite Score数据

  • CiteScore:9.5
  • SJR:1.501
  • SNIP:3.467
学科类别 分区 排名 百分位
大类:Social Sciences 小类:Law Q1 16 / 1025

98%

大类:Social Sciences 小类:Artificial Intelligence Q1 70 / 350

80%

CiteScore 是由Elsevier(爱思唯尔)推出的另一种评价期刊影响力的文献计量指标。反映出一家期刊近期发表论文的年篇均引用次数。CiteScore以Scopus数据库中收集的引文为基础,针对的是前四年发表的论文的引文。CiteScore的意义在于,它可以为学术界提供一种新的、更全面、更客观地评价期刊影响力的方法,而不仅仅是通过影响因子(IF)这一单一指标来评价。

历年Cite Score趋势图

中科院SCI分区Artificial Intelligence And Law 中科院分区

中科院 2023年12月升级版 综述期刊:否 Top期刊:否
大类学科 分区 小类学科 分区
社会学 2区 LAW 法学 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机:人工智能 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS 计算机:跨学科应用 1区 2区 2区

中科院分区表 是以客观数据为基础,运用科学计量学方法对国际、国内学术期刊依据影响力进行等级划分的期刊评价标准。它为我国科研、教育机构的管理人员、科研工作者提供了一份评价国际学术期刊影响力的参考数据,得到了全国各地高校、科研机构的广泛认可。

中科院分区表 将所有期刊按照一定指标划分为1区、2区、3区、4区四个层次,类似于“优、良、及格”等。最开始,这个分区只是为了方便图书管理及图书情报领域的研究和期刊评估。之后中科院分区逐步发展成为了一种评价学术期刊质量的重要工具。

历年中科院分区趋势图

JCR分区Artificial Intelligence And Law JCR分区

2023-2024 年最新版
按JIF指标学科分区 收录子集 分区 排名 百分位
学科:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE SCIE Q2 86 / 197

56.6%

学科:COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS SCIE Q2 65 / 169

61.8%

学科:LAW SSCI Q1 8 / 421

98.2%

按JCI指标学科分区 收录子集 分区 排名 百分位
学科:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE SCIE Q1 24 / 198

88.13%

学科:COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS SCIE Q1 20 / 169

88.46%

学科:LAW SSCI Q1 48 / 421

88.72%

JCR分区的优势在于它可以帮助读者对学术文献质量进行评估。不同学科的文章引用量可能存在较大的差异,此时单独依靠影响因子(IF)评价期刊的质量可能是存在一定问题的。因此,JCR将期刊按照学科门类和影响因子分为不同的分区,这样读者可以根据自己的研究领域和需求选择合适的期刊。

历年影响因子趋势图

发文数据

2023-2024 年国家/地区发文量统计
  • 国家/地区数量
  • USA20
  • Italy14
  • Netherlands8
  • England7
  • France6
  • Australia5
  • Luxembourg5
  • Belgium4
  • Japan4
  • Poland4

本刊中国学者近年发表论文

  • 1、How to justify a backing's eligibility for a warrant: the justification of a legal interpretation in a hard case

    Author: Yu, Shiyang; Chen, Xi

    Journal: ARTIFICIAL INTELLIGENCE AND LAW. 2023; Vol. 31, Issue 2, pp. 239-268. DOI: 10.1007/s10506-022-09311-0

  • 2、Policing based on automatic facial recognition

    Author: Guo, Zhilong; Kennedy, Lewis

    Journal: ARTIFICIAL INTELLIGENCE AND LAW. 2023; Vol. 31, Issue 2, pp. 397-443. DOI: 10.1007/s10506-022-09330-x

  • 3、Methods of incorporating common element characteristics for law article prediction

    Author: Hou, Yifan; Cheng, Ge; Zhang, Yun; Zhang, Dongliang

    Journal: ARTIFICIAL INTELLIGENCE AND LAW. 2023; Vol. , Issue , pp. -. DOI: 10.1007/s10506-023-09359-6

  • 4、A novel MRC framework for evidence extracts in judgment documents

    Author: Zhou, Yulin; Liu, Lijuan; Chen, Yanping; Huang, Ruizhang; Qin, Yongbin; Lin, Chuan

    Journal: ARTIFICIAL INTELLIGENCE AND LAW. 2023; Vol. , Issue , pp. -. DOI: 10.1007/s10506-023-09344-z

  • 5、Detecting the influence of the Chinese guiding cases: a text reuse approach

    Author: Chen, Benjamin M.; Li, Zhiyu; Cai, David; Ash, Elliott

    Journal: ARTIFICIAL INTELLIGENCE AND LAW. 2023; Vol. , Issue , pp. -. DOI: 10.1007/s10506-023-09358-7

  • 6、Semantic matching based legal information retrieval system for COVID-19 pandemic

    Author: Zhu, Junlin; Wu, Jiaye; Luo, Xudong; Liu, Jie

    Journal: ARTIFICIAL INTELLIGENCE AND LAW. 2023; Vol. , Issue , pp. -. DOI: 10.1007/s10506-023-09354-x

投稿常见问题

通讯方式:VAN GODEWIJCKSTRAAT 30, DORDRECHT, NETHERLANDS, 3311 GZ。