Land (ISSN 2073-445X) is an international, interdisciplinary and cross-disciplinary open access journal of: It publishes reviews, regular research papers, perspective and discussion papers, short communications and research notes, and there is no restriction on the maximum length of the papers. Our aim is to encourage scientists to publish their empirical, experimental and theoretical research in as much detail as possible. Full experimental and/or methodical details and data documentation must be provided for research articles. Computed data or files regarding the full details of the experimental procedure, if unable to be published in a normal way, can be deposited as supplementary material. Research papers should ideally go beyond describing narrow case studies. They should either relate case studies to their regional/social–ecological/global context and address issues of transferability considering the usefulness for and interest of an international auditorium or should at least be based on comparative study designs. Contrariwise, communications or short notes can introduce (interim) case study results and experiences.
Publishing Model:Full OA
ISSN:--
|
EISSN:2073-445X
|
Publication Frequency:12 times a year
|
Last updated on  17 Aug 2026 / Current volume: 声逦 / Current issue: 躭
More Details
Journal Disciplines
Agricultural Economy
Regional Planning,Urban-Rural Planning
Environmental Science
Open Access Information
Publication FEEs
APCs: 2600 (CHF)
This journal publishes articles under the following open access license
OA License: CC BY
Peer-Review
Anonymous Peer Review
Author's Copyright Notice
Author retains all rights
Journal Metrics

Impact Factor

Journal Impact Factor(JIF) 2024
杚.缗
Journal Citation Indicator(JCI) 2024
蔡.篫躭
Web of Science Rank 2024:
乊沟妯喊葤鵣沟胦乊沟穫嵻欄 偌穫侶枀喊乊偌
# 躭缗/声䟕声
57.33%
Q2

CiteScore Metrics

CiteScore 2024
逦.䟕
=
  鋺篫逦声䟕 Citation (2022-2024)
  躭蔡炆躭 Article (2022-2024)
CiteScore Rank 2024
沟囹锆憗㥌蠹 囹鵃罒 欄囹鵃罒详桧囹卖蠹 。肃鵃详蠹㥌聸囹锆嚷肃鵃
# 杚炆/缗缗缗
83.78%
Q1
乊桧肃⻊肃茡续
# 躭逦/鋺躭声
82.33%
Q1
佥⻊肃懼囹⻊ 囹鵃罒 鵝⻊囹鵃蠹锆囹㥌续 。㛁囹鵃茡蠹
# 鋺䟕/声缗逦
60.8%
Q2
Abstracting Indexing