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        Artificial Intelligence And Law

        Artificial Intelligence And LawSCIESSCI

        國際簡稱:ARTIF INTELL LAW  參考譯名:人工智能與法律

        • 中科院分區

          2區

        • CiteScore分區

          Q1

        • JCR分區

          Q1

        基本信息:
        ISSN:0924-8463
        E-ISSN:1572-8382
        是否OA:未開放
        是否預警:否
        TOP期刊:是
        出版信息:
        出版地區:NETHERLANDS
        出版商:SPRINGER
        出版語言:English
        出版周期:4 issues per year
        研究方向:Multiple
        評價信息:
        影響因子:3.1
        CiteScore指數:9.5
        SJR指數:1.501
        SNIP指數:3.467
        發文數據:
        Gold OA文章占比:40.82%
        研究類文章占比:97.44%
        年發文量:39
        自引率:0.2682...
        開源占比:0.4066
        出版撤稿占比:0
        出版國人文章占比:0
        OA被引用占比:0.3902...
        英文簡介 期刊介紹 CiteScore數據 中科院SCI分區 JCR分區 發文數據 常見問題

        英文簡介Artificial Intelligence And Law期刊介紹

        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.

        期刊簡介Artificial Intelligence And Law期刊介紹

        《Artificial Intelligence And Law》是一本社會學優秀雜志。致力于發表原創科學研究結果,并為社會學各個領域的原創研究提供一個展示平臺,以促進社會學領域的的進步。該刊鼓勵先進的、清晰的闡述,從廣泛的視角提供當前感興趣的研究主題的新見解,或審查多年來某個重要領域的所有重要發展。該期刊特色在于及時報道社會學領域的最新進展和新發現新突破等。該刊近一年未被列入預警期刊名單,目前已被權威數據庫SCIE、SSCI收錄,得到了廣泛的認可。

        該期刊投稿重要關注點:

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

        • CiteScore:9.5
        • SJR:1.501
        • SNIP:3.467
        學科類別 分區 排名 百分位
        大類:Social Sciences 小類:Law Q1 16 / 1025

        98%

        大類:Social Sciences 小類:Artificial Intelligence Q1 70 / 350

        80%

        CiteScore 是由Elsevier(愛思唯爾)推出的另一種評價期刊影響力的文獻計量指標。反映出一家期刊近期發表論文的年篇均引用次數。CiteScore以Scopus數據庫中收集的引文為基礎,針對的是前四年發表的論文的引文。CiteScore的意義在于,它可以為學術界提供一種新的、更全面、更客觀地評價期刊影響力的方法,而不僅僅是通過影響因子(IF)這一單一指標來評價。

        歷年Cite Score趨勢圖

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

        中科院 2023年12月升級版 綜述期刊:否 Top期刊:否
        大類學科 分區 小類學科 分區
        社會學 2區 LAW 法學 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 計算機:人工智能 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS 計算機:跨學科應用 1區 2區 2區

        中科院分區表 是以客觀數據為基礎,運用科學計量學方法對國際、國內學術期刊依據影響力進行等級劃分的期刊評價標準。它為我國科研、教育機構的管理人員、科研工作者提供了一份評價國際學術期刊影響力的參考數據,得到了全國各地高校、科研機構的廣泛認可。

        中科院分區表 將所有期刊按照一定指標劃分為1區、2區、3區、4區四個層次,類似于“優、良、及格”等。最開始,這個分區只是為了方便圖書管理及圖書情報領域的研究和期刊評估。之后中科院分區逐步發展成為了一種評價學術期刊質量的重要工具。

        歷年中科院分區趨勢圖

        JCR分區Artificial Intelligence And Law JCR分區

        2023-2024 年最新版
        按JIF指標學科分區 收錄子集 分區 排名 百分位
        學科:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE SCIE Q2 86 / 197

        56.6%

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

        61.8%

        學科:LAW SSCI Q1 8 / 421

        98.2%

        按JCI指標學科分區 收錄子集 分區 排名 百分位
        學科:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE SCIE Q1 24 / 198

        88.13%

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

        88.46%

        學科:LAW SSCI Q1 48 / 421

        88.72%

        JCR分區的優勢在于它可以幫助讀者對學術文獻質量進行評估。不同學科的文章引用量可能存在較大的差異,此時單獨依靠影響因子(IF)評價期刊的質量可能是存在一定問題的。因此,JCR將期刊按照學科門類和影響因子分為不同的分區,這樣讀者可以根據自己的研究領域和需求選擇合適的期刊。

        歷年影響因子趨勢圖

        發文數據

        2023-2024 年國家/地區發文量統計
        • 國家/地區數量
        • USA20
        • Italy14
        • Netherlands8
        • England7
        • France6
        • Australia5
        • Luxembourg5
        • Belgium4
        • Japan4
        • Poland4

        本刊中國學者近年發表論文

        • 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

        投稿常見問題

        通訊方式:VAN GODEWIJCKSTRAAT 30, DORDRECHT, NETHERLANDS, 3311 GZ。

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