Mohammad Parsa

602 total citations
22 papers, 442 citations indexed

About

Mohammad Parsa is a scholar working on Artificial Intelligence, Mechanical Engineering and Environmental Engineering. According to data from OpenAlex, Mohammad Parsa has authored 22 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 12 papers in Mechanical Engineering and 10 papers in Environmental Engineering. Recurrent topics in Mohammad Parsa's work include Geochemistry and Geologic Mapping (22 papers), Mineral Processing and Grinding (12 papers) and Soil Geostatistics and Mapping (10 papers). Mohammad Parsa is often cited by papers focused on Geochemistry and Geologic Mapping (22 papers), Mineral Processing and Grinding (12 papers) and Soil Geostatistics and Mapping (10 papers). Mohammad Parsa collaborates with scholars based in Canada, Iran and South Africa. Mohammad Parsa's co-authors include Emmanuel John M. Carranza, Amin Beiranvand Pour, David R. Lentz, Abbas Maghsoudi, Reza Ghezelbash, Mehrdad Daviran, C J M Lawley, Jeff Harris, Steven E. Zhang and Julie E. Bourdeau and has published in prestigious journals such as Applied Geochemistry, Ore Geology Reviews and Journal of Geochemical Exploration.

In The Last Decade

Mohammad Parsa

19 papers receiving 437 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammad Parsa Canada 11 388 187 172 111 98 22 442
Mansour Ziaii Iran 12 269 0.7× 129 0.7× 148 0.9× 63 0.6× 75 0.8× 32 376
Abolghasem Kamkar‐Rouhani Iran 7 485 1.3× 115 0.6× 286 1.7× 213 1.9× 120 1.2× 20 561
Adel Shirazy Iran 15 295 0.8× 226 1.2× 158 0.9× 69 0.6× 84 0.9× 40 511
Ehsan Farahbakhsh Australia 9 257 0.7× 90 0.5× 167 1.0× 100 0.9× 61 0.6× 26 352
Ареф Ширази Iran 15 283 0.7× 207 1.1× 150 0.9× 67 0.6× 79 0.8× 37 474
Ryoichi Kouda Japan 9 411 1.1× 178 1.0× 137 0.8× 201 1.8× 74 0.8× 27 482
Nasser Madani Kazakhstan 16 419 1.1× 268 1.4× 79 0.5× 360 3.2× 101 1.0× 56 625
Seyed Hassan Tabatabaei Iran 12 292 0.8× 109 0.6× 157 0.9× 92 0.8× 80 0.8× 27 342
Amir Bijan Yasrebi Iran 17 628 1.6× 196 1.0× 302 1.8× 297 2.7× 166 1.7× 32 710
Younes Fadakar Alghalandis Australia 11 625 1.6× 226 1.2× 314 1.8× 425 3.8× 260 2.7× 15 859

Countries citing papers authored by Mohammad Parsa

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Parsa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Parsa

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Parsa. A scholar is included among the top collaborators of Mohammad Parsa 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 Parsa. Mohammad Parsa 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.
Parsa, Mohammad, C J M Lawley, Steven E. Zhang, et al.. (2025). Pan-Canadian Predictive Modeling of Lithium–Cesium–Tantalum Pegmatites with Deep Learning and Natural Language Processing. Natural Resources Research. 34(2). 639–668. 5 indexed citations
2.
Zhang, Steven E., et al.. (2025). Mineral Prospectivity Modeling of Graphite Deposits and Occurrences in Canada. Natural Resources Research. 34(3). 1243–1270. 2 indexed citations
3.
Zhang, Steven E., et al.. (2025). Recursive Annotation for Negative Labeling in Data-Driven Mineral Prospectivity Mapping. Natural Resources Research. 34(5). 2373–2402.
4.
5.
Harris, Jeff, Bruno Lafrance, Eric Grunsky, et al.. (2025). Orogenic gold mineral prospectivity mapping of the geraldton area, ontario: discussion of key issues. Earth Science Informatics. 18(2).
6.
Parsa, Mohammad, et al.. (2025). Class Label Representativeness in Machine Learning-Based Mineral Prospectivity Mapping. Natural Resources Research. 34(4). 1901–1925.
7.
Zhang, Steven E., Julie E. Bourdeau, Glen T. Nwaila, Mohammad Parsa, & Yousef Ghorbani. (2024). Denoising of Geochemical Data using Deep Learning–Implications for Regional Surveys. Natural Resources Research. 33(2). 495–520. 10 indexed citations
8.
Parsa, Mohammad, C J M Lawley, Ernst Schetselaar, et al.. (2024). Predictive Modeling of Canadian Carbonatite-Hosted REE +/− Nb Deposits. Natural Resources Research. 33(5). 1941–1965. 7 indexed citations
9.
10.
Bourdeau, Julie E., Steven E. Zhang, C J M Lawley, et al.. (2023). Predictive Geochemical Exploration: Inferential Generation of Modern Geochemical Data, Anomaly Detection and Application to Northern Manitoba. Natural Resources Research. 32(6). 2355–2386. 8 indexed citations
11.
Lawley, C J M, et al.. (2023). Applications of Natural Language Processing to Geoscience Text Data and Prospectivity Modeling. Natural Resources Research. 32(4). 1503–1527. 17 indexed citations
12.
Harris, Jeff, J. A. Ayer, Mostafa Naghizadeh, et al.. (2023). A study of faults in the Superior province of Ontario and Quebec using the random forest machine learning algorithm: Spatial relationship to gold mines. Ore Geology Reviews. 157. 105403–105403. 13 indexed citations
13.
Parsa, Mohammad, Jeff Harris, & Ross Sherlock. (2022). Improving Mineral Prospectivity Model Generalization: An Example from Orogenic Gold Mineralization of the Sturgeon Lake Transect, Ontario, Canada. Mathematical Geosciences. 55(7). 943–961. 9 indexed citations
14.
Daviran, Mehrdad, Mohammad Parsa, Abbas Maghsoudi, & Reza Ghezelbash. (2022). Quantifying Uncertainties Linked to the Diversity of Mathematical Frameworks in Knowledge-Driven Mineral Prospectivity Mapping. Natural Resources Research. 31(5). 2271–2287. 37 indexed citations
15.
Parsa, Mohammad, David R. Lentz, & James A. Walker. (2022). Predictive Modeling of Prospectivity for VHMS Mineral Deposits, Northeastern Bathurst Mining Camp, NB, Canada, Using an Ensemble Regularization Technique. Natural Resources Research. 32(1). 19–36. 15 indexed citations
16.
Parsa, Mohammad, et al.. (2021). Identification of heavy metal pollution sources and its associated risk assessment in an industrial town using the K-means clustering technique. Applied Geochemistry. 135. 105113–105113. 33 indexed citations
17.
Parsa, Mohammad. (2021). A data augmentation approach to XGboost-based mineral potential mapping: An example of carbonate-hosted Zn Pb mineral systems of Western Iran. Journal of Geochemical Exploration. 228. 106811–106811. 105 indexed citations
18.
Parsa, Mohammad & Amin Beiranvand Pour. (2021). A simulation-based framework for modulating the effects of subjectivity in greenfield Mineral Prospectivity Mapping with geochemical and geological data. Journal of Geochemical Exploration. 229. 106838–106838. 41 indexed citations
19.
Parsa, Mohammad, et al.. (2021). Deep GMDH Neural Networks for Predictive Mapping of Mineral Prospectivity in Terrains Hosting Few but Large Mineral Deposits. Natural Resources Research. 31(1). 37–50. 50 indexed citations
20.
Parsa, Mohammad & Emmanuel John M. Carranza. (2021). Modulating the Impacts of Stochastic Uncertainties Linked to Deposit Locations in Data-Driven Predictive Mapping of Mineral Prospectivity. Natural Resources Research. 30(5). 3081–3097. 52 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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