Kazem Rangzan

517 total citations
47 papers, 407 citations indexed

About

Kazem Rangzan is a scholar working on Environmental Engineering, Artificial Intelligence and Ecology. According to data from OpenAlex, Kazem Rangzan has authored 47 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Environmental Engineering, 13 papers in Artificial Intelligence and 10 papers in Ecology. Recurrent topics in Kazem Rangzan's work include Geochemistry and Geologic Mapping (13 papers), Remote-Sensing Image Classification (9 papers) and Soil and Land Suitability Analysis (7 papers). Kazem Rangzan is often cited by papers focused on Geochemistry and Geologic Mapping (13 papers), Remote-Sensing Image Classification (9 papers) and Soil and Land Suitability Analysis (7 papers). Kazem Rangzan collaborates with scholars based in Iran, India and United States. Kazem Rangzan's co-authors include Gholamreza Akbarizadeh, Saied Pirasteh, Abdolnabi Kosarian, Iraj Eskandari, Syed Ahmad Ali, Alijafar Mousivand, Ali Darvishi Boloorani, Hassan Khosravi, Seyed Roohollah Mousavi and Farshad Alijani and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science and Pollution Research and Soil and Tillage Research.

In The Last Decade

Kazem Rangzan

44 papers receiving 389 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kazem Rangzan Iran 12 128 92 85 72 71 47 407
Gülcan Sarp Türkiye 10 157 1.2× 209 2.3× 71 0.8× 68 0.9× 100 1.4× 27 465
Zhiheng Liu China 14 174 1.4× 122 1.3× 90 1.1× 57 0.8× 156 2.2× 43 678
Hongye Cao China 13 76 0.6× 90 1.0× 25 0.3× 97 1.3× 69 1.0× 25 399
Sijin Li China 10 157 1.2× 63 0.7× 28 0.3× 55 0.8× 62 0.9× 21 357
Qigang Jiang China 10 140 1.1× 105 1.1× 87 1.0× 13 0.2× 74 1.0× 58 382
Lanfa Liu China 12 170 1.3× 130 1.4× 134 1.6× 19 0.3× 125 1.8× 27 682
Tomaž Podobnikar Slovenia 13 243 1.9× 141 1.5× 49 0.6× 33 0.5× 175 2.5× 37 605
Damir Medak Croatia 13 150 1.2× 174 1.9× 42 0.5× 24 0.3× 237 3.3× 68 534
P. V. Arun India 8 131 1.0× 58 0.6× 30 0.4× 31 0.4× 90 1.3× 27 428
Hamid Kamangir United States 9 194 1.5× 147 1.6× 30 0.4× 90 1.3× 60 0.8× 19 395

Countries citing papers authored by Kazem Rangzan

Since Specialization
Citations

This map shows the geographic impact of Kazem Rangzan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kazem Rangzan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazem Rangzan more than expected).

Fields of papers citing papers by Kazem Rangzan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kazem Rangzan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kazem Rangzan. The network helps show where Kazem Rangzan may publish in the future.

Co-authorship network of co-authors of Kazem Rangzan

This figure shows the co-authorship network connecting the top 25 collaborators of Kazem Rangzan. A scholar is included among the top collaborators of Kazem Rangzan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kazem Rangzan. Kazem Rangzan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Rangzan, Kazem, et al.. (2025). Spatial analysis of soil quality in agricultural land using machine learning and environmental covariates: A case study of Khuzestan Province. Soil and Tillage Research. 252. 106591–106591. 2 indexed citations
2.
Rangzan, Kazem, et al.. (2024). New methodology for improved bathymetry of coastal zones based on spaceborne spectroscopy. International Journal of Environmental Science and Technology. 22(5). 3359–3378.
3.
Rangzan, Kazem, et al.. (2024). Spatiotemporal Monitoring of Land Use-Land Cover and Its Relationship with Land Surface Temperature Changes Based on Remote Sensing, GIS, and Deep Learning. Journal of the Indian Society of Remote Sensing. 52(11). 2461–2481. 6 indexed citations
4.
Rangzan, Kazem, et al.. (2023). Improving classification accuracy for separation of area under crops based on feature selection from multi-temporal images and machine learning algorithms. Advances in Space Research. 72(11). 4809–4824. 4 indexed citations
5.
Rangzan, Kazem, et al.. (2023). Challenges of rainfall erosivity prediction: A Novel GIS-Based Optimization algorithm to reduce uncertainty in large country modeling. Earth Science Informatics. 17(1). 365–384. 2 indexed citations
6.
Rangzan, Kazem, et al.. (2023). Development of a geodatabase for retrieval of geochemical data from oil wells: A case study from the Gachsaran oilfield; SW Iran. Geoenergy Science and Engineering. 225. 211621–211621. 2 indexed citations
7.
Rangzan, Kazem, et al.. (2023). Assessing the potential of Sentinel-2 imagery and spectroscopy for determining the origin of ancient artifacts in Khuzestan, Iran. The Egyptian Journal of Remote Sensing and Space Science. 26(3). 455–476. 2 indexed citations
9.
Rangzan, Kazem, et al.. (2022). Applying optimum fusion method to improve lithological mapping of sedimentary rocks using sentinel-2 and ASTER satellite images. Earth Science Informatics. 15(3). 1765–1778. 4 indexed citations
10.
11.
Rangzan, Kazem, et al.. (2022). Evaluating quality of surface water resources by ANN and ANFIS networks using Sentinel-2 satellite data. Earth Science Informatics. 15(1). 523–540. 16 indexed citations
12.
Rangzan, Kazem, et al.. (2022). The capability of Sentinel-2 image and FieldSpec3 for detecting lithium-containing minerals in central Iran. Frontiers of Earth Science. 16(3). 678–695. 3 indexed citations
13.
Rangzan, Kazem, et al.. (2020). Improved water quality mapping based on cross‐fusion of Sentinel‐2 and Landsat‐8 imageries. IET Image Processing. 14(7). 1382–1392. 9 indexed citations
14.
Rangzan, Kazem, et al.. (2019). A web-based GIS system for wildlife species: a case study from Khouzestan Province, Iran. Environmental Science and Pollution Research. 26(16). 16026–16039. 3 indexed citations
15.
Rangzan, Kazem, et al.. (2019). Supervised cross-fusion method: a new triplet approach to fuse thermal, radar, and optical satellite data for land use classification. Environmental Monitoring and Assessment. 191(8). 481–481. 10 indexed citations
17.
Rangzan, Kazem, et al.. (2018). Ranking of Tourism Village Locator with Environmental Criteria with FTOPSIS Case Study of Shoush. 18(51). 165–181. 1 indexed citations
18.
Akbarizadeh, Gholamreza, et al.. (2018). Optimized fuzzy cellular automata for synthetic aperture radar image edge detection. Journal of Electronic Imaging. 27(1). 1–1. 40 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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