Rida Al‐Adamat

1.8k total citations
48 papers, 1.3k citations indexed

About

Rida Al‐Adamat is a scholar working on Environmental Engineering, Global and Planetary Change and Management, Monitoring, Policy and Law. According to data from OpenAlex, Rida Al‐Adamat has authored 48 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Environmental Engineering, 20 papers in Global and Planetary Change and 14 papers in Management, Monitoring, Policy and Law. Recurrent topics in Rida Al‐Adamat's work include Groundwater and Watershed Analysis (23 papers), Flood Risk Assessment and Management (13 papers) and Geochemistry and Geologic Mapping (8 papers). Rida Al‐Adamat is often cited by papers focused on Groundwater and Watershed Analysis (23 papers), Flood Risk Assessment and Management (13 papers) and Geochemistry and Geologic Mapping (8 papers). Rida Al‐Adamat collaborates with scholars based in Jordan, United Kingdom and Iran. Rida Al‐Adamat's co-authors include Serwan Mj Baban, Ian Foster, A’kif Al-Fugara, Abdel Rahman Al‐Shabeeb, Hani Al-Amoush, Mohammad Ahmadlou, Z. Rawajfih, N.H. Batjes, Carlos Eduardo Pellegrino Cerri and Eleanor Milne and has published in prestigious journals such as Agriculture Ecosystems & Environment, Sustainability and Journal of Arid Environments.

In The Last Decade

Rida Al‐Adamat

45 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rida Al‐Adamat Jordan 17 695 528 324 236 232 48 1.3k
Chadi Abdallah Lebanon 20 621 0.9× 590 1.1× 467 1.4× 131 0.6× 238 1.0× 57 1.3k
Aliakbar Nazari Samani Iran 15 731 1.1× 628 1.2× 557 1.7× 163 0.7× 134 0.6× 39 1.2k
Ali Essahlaoui Morocco 19 466 0.7× 555 1.1× 345 1.1× 137 0.6× 172 0.7× 77 1.2k
Hossein Hashemi Sweden 24 742 1.1× 892 1.7× 577 1.8× 175 0.7× 111 0.5× 101 2.0k
Satiprasad Sahoo India 21 852 1.2× 954 1.8× 465 1.4× 190 0.8× 188 0.8× 63 1.7k
Manika Gupta India 22 849 1.2× 812 1.5× 542 1.7× 144 0.6× 145 0.6× 46 1.6k
Bilal Aslam Pakistan 20 392 0.6× 371 0.7× 210 0.6× 99 0.4× 255 1.1× 57 1.1k
Kanak N. Moharir India 23 865 1.2× 607 1.1× 563 1.7× 260 1.1× 116 0.5× 39 1.5k
Alexandra Gemitzi Greece 21 513 0.7× 415 0.8× 376 1.2× 295 1.3× 130 0.6× 56 1.3k
Biswajit Das India 21 738 1.1× 1.0k 2.0× 636 2.0× 147 0.6× 325 1.4× 34 1.6k

Countries citing papers authored by Rida Al‐Adamat

Since Specialization
Citations

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

Fields of papers citing papers by Rida Al‐Adamat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rida Al‐Adamat. 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 Rida Al‐Adamat. The network helps show where Rida Al‐Adamat may publish in the future.

Co-authorship network of co-authors of Rida Al‐Adamat

This figure shows the co-authorship network connecting the top 25 collaborators of Rida Al‐Adamat. A scholar is included among the top collaborators of Rida Al‐Adamat 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 Rida Al‐Adamat. Rida Al‐Adamat 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.
Tan, Mou Leong, et al.. (2025). Identification of Optimal Rainwater Harvesting Sites in the Al-Karak Basin, Southern Jordan. Water Conservation Science and Engineering. 10(2).
2.
Al-Fugara, A’kif, et al.. (2023). Combination of Metaheuristic Optimization Algorithms and Machine Learning Methods for Groundwater Potential Mapping. Sustainability. 15(3). 2499–2499. 13 indexed citations
3.
4.
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
5.
Al-Fugara, A’kif, Hamid Reza Pourghasemi, Abdel Rahman Al‐Shabeeb, et al.. (2020). A comparison of machine learning models for the mapping of groundwater spring potential. Environmental Earth Sciences. 79(10). 44 indexed citations
6.
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
7.
Al-Fugara, A’kif, Abdel Rahman Al‐Shabeeb, Yahya Alshawabkeh, Hani Al-Amoush, & Rida Al‐Adamat. (2018). Simulation and Prediction of Urban Spatial Expansion in Highly Vibrant Cities Using the Sleuth Model: A Case Study of Amman Metropolitan, Jordan. Theoretical and Empirical Researches in Urban Management. 13(1). 37–56. 2 indexed citations
8.
Al‐Adamat, Rida. (2018). The Use of GIS and Remote Sensing to Investigate Groundwater Vulnerability to Contamination and Surface Water Susceptibility to Pollution at Mafraq Dumpsite/Jordan. International Journal of Environmental Science and Development. 9(12). 361–367. 3 indexed citations
9.
Al‐Adamat, Rida, et al.. (2017). The Use of Vector-Based GIS and Multi-Criteria Decision Making (MCDM) for Siting Water Harvesting Dams in Karak Governorate/ South Jordan. 7(6). 28–35. 4 indexed citations
10.
Al-Fugara, A’kif, et al.. (2016). A Multi-Resolution Photogrammetric Framework for Digital Geometric Recording of Large Archeological Sites: Ajloun Castle-Jordan. International Journal of Geosciences. 7(3). 425–439. 5 indexed citations
11.
12.
13.
Al-Amoush, Hani, et al.. (2013). Integration of Aeromagnetic Data and Landsat Imagery for Structural Analysis Purposes: A Case Study in the Southern Part of Jordan. Journal of Geographic Information System. 5(3). 198–207. 4 indexed citations
14.
Al‐Adamat, Rida, et al.. (2012). GIS and Remote Sensing to Investigate Urban Growth in Mafraq City/Jordan between 1987 and 2010. Journal of Geographic Information System. 4(4). 377–382. 4 indexed citations
15.
Al‐Adamat, Rida, et al.. (2010). Mapping the Land Use / Land Cover Changes in the Basalt Area between 1990 and 2005 Using Remote Sensing and GIS. Jordan Journal of Civil Engineering. 4(3). 1 indexed citations
16.
Al‐Adamat, Rida, et al.. (2010). The Use of GIS and Leachability Tests to Investigate Groundwater Vulnerability to Pollution from Oil Shale Utilization at Lajjoun Area/Southern Jordan. Jordan Journal of Civil Engineering. 4(3). 1 indexed citations
17.
Al-Harahsheh, Adnan, et al.. (2010). Potential Impacts on Surface Water Quality from the Utilization of Oil Shale at Lajjoun Area/Southern Jordan Using Geographic Information Systems and Leachability Tests. Energy Sources Part A Recovery Utilization and Environmental Effects. 32(19). 1763–1776. 6 indexed citations
18.
Falloon, Pete, Chris Jones, Carlos Eduardo Pellegrino Cerri, et al.. (2007). Climate change and its impact on soil and vegetation carbon storage in Kenya, Jordan, India and Brazil. Agriculture Ecosystems & Environment. 122(1). 114–124. 53 indexed citations
19.
Easter, Mark, Keith Paustian, K. Killian, et al.. (2005). User instructions GEFSOC Soil Carbon Modeling System. Socio-Environmental Systems Modeling. 1 indexed citations
20.
Al‐Adamat, Rida & Serwan Mj Baban. (2004). Mapping groundwater level and depth in the Azraq Basin in Jordan using GIS. ePublications@SCU (Southern Cross University). 64(2). 97–106. 2 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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