Mohammad Ahmadlou

834 total citations
21 papers, 629 citations indexed

About

Mohammad Ahmadlou is a scholar working on Global and Planetary Change, Environmental Engineering and Atmospheric Science. According to data from OpenAlex, Mohammad Ahmadlou has authored 21 papers receiving a total of 629 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Global and Planetary Change, 7 papers in Environmental Engineering and 6 papers in Atmospheric Science. Recurrent topics in Mohammad Ahmadlou's work include Land Use and Ecosystem Services (9 papers), Flood Risk Assessment and Management (8 papers) and Remote Sensing in Agriculture (5 papers). Mohammad Ahmadlou is often cited by papers focused on Land Use and Ecosystem Services (9 papers), Flood Risk Assessment and Management (8 papers) and Remote Sensing in Agriculture (5 papers). Mohammad Ahmadlou collaborates with scholars based in Iran, Jordan and Vietnam. Mohammad Ahmadlou's co-authors include Mohammad Karimi, A’kif Al-Fugara, Rida Al‐Adamat, Himan Shahabi, Ataollah Shirzadi, Mahdi Panahi, Somayeh Alizadeh, Abdel Rahman Al‐Shabeeb, M. R. Delavar and Amin Tayyebi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Remote Sensing.

In The Last Decade

Mohammad Ahmadlou

19 papers receiving 616 citations

Peers

Mohammad Ahmadlou
A’kif Al-Fugara Jordan
Xianzhe Tang China
Zhanya Xu China
Jinsoo Kim South Korea
Lanh Si Ho Vietnam
Md Monirul Islam Bangladesh
Elham Rafiei-Sardooi Iran
Mahfuzur Rahman Bangladesh
Qiang Zou China
A’kif Al-Fugara Jordan
Mohammad Ahmadlou
Citations per year, relative to Mohammad Ahmadlou Mohammad Ahmadlou (= 1×) peers A’kif Al-Fugara

Countries citing papers authored by Mohammad Ahmadlou

Since Specialization
Citations

This map shows the geographic impact of Mohammad Ahmadlou'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 Mohammad Ahmadlou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Ahmadlou more than expected).

Fields of papers citing papers by Mohammad Ahmadlou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad Ahmadlou. 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 Mohammad Ahmadlou. The network helps show where Mohammad Ahmadlou may publish in the future.

Co-authorship network of co-authors of Mohammad Ahmadlou

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Ahmadlou. A scholar is included among the top collaborators of Mohammad Ahmadlou 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 Mohammad Ahmadlou. Mohammad Ahmadlou 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.
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Karimi, Mohammad, et al.. (2025). Modeling intra-city functional regions through spatial interaction analysis: a case study of Chicago. Cartography and Geographic Information Science. 1–27.
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Ahmadlou, Mohammad, Mohammad Karimi, Saad Sh. Sammen, & Karam Alsafadi. (2024). Three novel cost-sensitive machine learning models for urban growth modelling. Geocarto International. 39(1). 4 indexed citations
5.
Ahmadlou, Mohammad, Mohammad Karimi, & Nadhir Al‐Ansari. (2023). The use of maximum entropy and ecological niche factor analysis to decrease uncertainties in samples for urban gain models. GIScience & Remote Sensing. 60(1). 4 indexed citations
6.
Ahmadlou, Mohammad, et al.. (2022). Enhanced classification and regression tree (CART) by genetic algorithm (GA) and grid search (GS) for flood susceptibility mapping and assessment. Geocarto International. 37(26). 13638–13657. 22 indexed citations
7.
Amirkolaee, Hamed Amini, et al.. (2022). DTM extraction from DSM using a multi-scale DTM fusion strategy based on deep learning. Remote Sensing of Environment. 274. 113014–113014. 15 indexed citations
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Al-Fugara, A’kif, Mohammad Ahmadlou, Hamid Reza Pourghasemi, et al.. (2021). Wildland Fire Susceptibility Mapping Using Support Vector Regression and Adaptive Neuro-Fuzzy Inference System-Based Whale Optimization Algorithm and Simulated Annealing. ISPRS International Journal of Geo-Information. 10(6). 382–382. 30 indexed citations
10.
Pham, Quoc Bao, et al.. (2021). Multi sources hydrological assessment over Vu Gia Thu Bon Basin, Vietnam. Hydrological Sciences Journal. 66(8). 1383–1392. 13 indexed citations
11.
Ahmadlou, Mohammad, Mohammad Karimi, & Robert Gilmore Pontius. (2021). A new framework to deal with the class imbalance problem in urban gain modeling based on clustering and ensemble models. Geocarto International. 37(19). 5669–5692. 11 indexed citations
12.
Al-Fugara, A’kif, et al.. (2020). Spatial mapping of groundwater springs potentiality using grid search-based and genetic algorithm-based support vector regression. Geocarto International. 37(1). 284–303. 63 indexed citations
13.
Ahmadlou, Mohammad, A’kif Al-Fugara, Abdel Rahman Al‐Shabeeb, et al.. (2020). Flood susceptibility mapping and assessment using a novel deep learning model combining multilayer perceptron and autoencoder neural networks. Journal of Flood Risk Management. 14(1). 97 indexed citations
14.
Al-Fugara, A’kif, et al.. (2020). Novel hybrid models combining meta-heuristic algorithms with support vector regression (SVR) for groundwater potential mapping. Geocarto International. 37(9). 2627–2646. 33 indexed citations
15.
Ahmadlou, Mohammad, Mohammad Karimi, Somayeh Alizadeh, et al.. (2018). Flood susceptibility assessment using integration of adaptive network-based fuzzy inference system (ANFIS) and biogeography-based optimization (BBO) and BAT algorithms (BA). Geocarto International. 34(11). 1252–1272. 211 indexed citations
16.
Ahmadlou, Mohammad & Mashallah Rezakazemi. (2018). COMPUTATIONAL FLUID DYNAMICS SIMULATION OF MOVING-BED NANOCATALYTIC CRACKING PROCESS FOR THE LIGHTENING OF HEAVY CRUDE OIL. Journal of Porous Media. 21(6). 539–553. 16 indexed citations
17.
Ahmadlou, Mohammad, M. R. Delavar, Anahid Basiri, & Mohammad Karimi. (2018). A Comparative Study of Machine Learning Techniques to Simulate Land Use Changes. Journal of the Indian Society of Remote Sensing. 47(1). 53–62. 12 indexed citations
18.
Shafizadeh‐Moghadam, Hossein, Amin Tayyebi, Mohammad Ahmadlou, M. R. Delavar, & Mahdi Hasanlou. (2017). Integration of genetic algorithm and multiple kernel support vector regression for modeling urban growth. Computers Environment and Urban Systems. 65. 28–40. 55 indexed citations
19.
Ahmadlou, Mohammad, M. R. Delavar, Hossein Shafizadeh‐Moghadam, & Amin Tayyebi. (2016). MODELING URBAN DYNAMICS USING RANDOM FOREST: IMPLEMENTING ROC AND TOC FOR MODEL EVALUATION. SHILAP Revista de lepidopterología. XLI-B2. 285–290. 6 indexed citations
20.
Ahmadlou, Mohammad, M. R. Delavar, Amin Tayyebi, & Hossein Shafizadeh‐Moghadam. (2015). USING MULTIVARIATE ADAPTIVE REGRESSION SPLINE AND ARTIFICIAL NEURAL NETWORK TO SIMULATE URBANIZATION IN MUMBAI, INDIA. SHILAP Revista de lepidopterología. XL-1/W5. 31–36. 7 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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