Muhammad Tayyib Riaz

593 total citations
28 papers, 433 citations indexed

About

Muhammad Tayyib Riaz is a scholar working on Management, Monitoring, Policy and Law, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Muhammad Tayyib Riaz has authored 28 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Management, Monitoring, Policy and Law, 9 papers in Global and Planetary Change and 7 papers in Atmospheric Science. Recurrent topics in Muhammad Tayyib Riaz's work include Landslides and related hazards (17 papers), Fire effects on ecosystems (7 papers) and Flood Risk Assessment and Management (6 papers). Muhammad Tayyib Riaz is often cited by papers focused on Landslides and related hazards (17 papers), Fire effects on ecosystems (7 papers) and Flood Risk Assessment and Management (6 papers). Muhammad Tayyib Riaz collaborates with scholars based in Pakistan, China and Switzerland. Muhammad Tayyib Riaz's co-authors include Muhammad Basharat, Jahangir Mirza, Amjad Naseer, Qaisar Ali, Jin Luo, Maria Teresa Brunetti, Chong Xu, M. Qasim Jan, Nadhir Al‐Ansari and Nguyễn Thị Thùy Linh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Applied Clay Science.

In The Last Decade

Muhammad Tayyib Riaz

26 papers receiving 428 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Muhammad Tayyib Riaz Pakistan 11 228 141 134 60 56 28 433
Paula F. da Silva Portugal 7 329 1.4× 90 0.6× 180 1.3× 109 1.8× 74 1.3× 21 447
Fu-gang Xu China 14 298 1.3× 356 2.5× 78 0.6× 58 1.0× 35 0.6× 33 554
Yu-xiang Hu China 13 268 1.2× 160 1.1× 86 0.6× 76 1.3× 27 0.5× 42 491
Dirk Proske Switzerland 10 266 1.2× 373 2.6× 100 0.7× 25 0.4× 47 0.8× 63 616
Hyo-Sub Kang South Korea 9 211 0.9× 153 1.1× 133 1.0× 43 0.7× 46 0.8× 29 335
İnan Keskin Türkiye 11 193 0.8× 147 1.0× 66 0.5× 41 0.7× 29 0.5× 31 358
Shujian Yi China 8 321 1.4× 119 0.8× 101 0.8× 132 2.2× 62 1.1× 14 441
Gökhan Demir Türkiye 9 308 1.4× 81 0.6× 211 1.6× 73 1.2× 100 1.8× 21 439
Wenbin Jian China 11 266 1.2× 156 1.1× 120 0.9× 72 1.2× 71 1.3× 43 465
Ján Vlčko Slovakia 11 253 1.1× 56 0.4× 61 0.5× 122 2.0× 23 0.4× 15 393

Countries citing papers authored by Muhammad Tayyib Riaz

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Tayyib Riaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Muhammad Tayyib Riaz. 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 Muhammad Tayyib Riaz. The network helps show where Muhammad Tayyib Riaz may publish in the future.

Co-authorship network of co-authors of Muhammad Tayyib Riaz

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Tayyib Riaz. A scholar is included among the top collaborators of Muhammad Tayyib Riaz 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 Muhammad Tayyib Riaz. Muhammad Tayyib Riaz 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.
Ahmad, Khawaja Shafique, et al.. (2026). Ecological Insights into Plant Diversity and Distribution Along Environmental Gradients in Haveli Kahuta, Pakistan. Environmental Monitoring and Assessment. 198(2). 101–101.
2.
Rehman, Adnanul, Muhammad Sajjad, Siqi Lu, et al.. (2025). Exacerbating landslide risks under future climate change and land use scenarios: evidence from the Western Himalayas in Pakistan. Geomatics Natural Hazards and Risk. 16(1).
3.
4.
Riaz, Muhammad Tayyib, et al.. (2024). Failure mechanism of a massive fault–controlled rainfall–triggered landslide in northern Pakistan. Landslides. 21(11). 2741–2767. 5 indexed citations
5.
Hanif, Muhammad, et al.. (2024). A multi-proxy approach to explore paleoenvironmental oscillations and chronostratigraphy of Thanetian carbonates in Eastern Tethys, Pakistan. Marine and Petroleum Geology. 171. 107169–107169. 1 indexed citations
6.
Riaz, Muhammad Tayyib, et al.. (2024). An integrated approach of support vector machine (SVM) and weight of evidence (WOE) techniques to map groundwater potential and assess water quality. Scientific Reports. 14(1). 26186–26186. 9 indexed citations
7.
Riaz, Muhammad Tayyib, et al.. (2024). Physico-Mechanical and Petrographic Appraisal of Carbonate Rocks as Construction Aggregate: A Case Study from Lesser Himalaya, Pakistan. Transportation Research Record Journal of the Transportation Research Board. 2678(12). 1720–1735. 3 indexed citations
8.
9.
Khan, Jahanzeb, et al.. (2023). Radon concentration in spring water as an indicator of seismic activity: a case study of the Muzaffarabad Fault in Pakistan. Environmental Monitoring and Assessment. 196(1). 41–41. 4 indexed citations
10.
Riaz, Muhammad Tayyib, et al.. (2023). Semi-quantitative landslide risk assessment of district Muzaffarabad, northwestern Himalayas, Pakistan. Stochastic Environmental Research and Risk Assessment. 37(9). 3551–3570. 5 indexed citations
11.
Riaz, Muhammad Tayyib, et al.. (2023). Physico-Mechanical Characterization of Cement Concrete using Quarry Waste as Fine Aggregate Replacement of Natural Sand. Arabian Journal for Science and Engineering. 48(10). 13807–13821. 9 indexed citations
12.
Basharat, Muhammad, et al.. (2023). Spatio-temporal evolution of landslides along transportation corridors of Muzaffarabad, Northern Pakistan. Environmental Earth Sciences. 82(5). 3 indexed citations
13.
Basharat, Muhammad, et al.. (2022). Spatiotemporal landslide susceptibility mapping using machine learning models: A case study from district Hattian Bala, NW Himalaya, Pakistan. Ain Shams Engineering Journal. 14(3). 101907–101907. 36 indexed citations
14.
Basharat, Muhammad, et al.. (2022). Application of statistical and machine learning techniques for landslide susceptibility mapping in the Himalayan road corridors. Open Geosciences. 14(1). 1606–1635. 7 indexed citations
15.
Riaz, Muhammad Tayyib, et al.. (2022). Improvement of the predictive performance of landslide mapping models in mountainous terrains using cluster sampling. Geocarto International. 37(26). 12294–12337. 12 indexed citations
16.
17.
Basharat, Muhammad, et al.. (2021). Geotechnical investigation and landslide susceptibility assessment along the Neelum road: a case study from Lesser Himalayas, Pakistan. Arabian Journal of Geosciences. 14(11). 14 indexed citations
18.
Basharat, Muhammad, et al.. (2021). A review of landslides related to the 2005 Kashmir Earthquake: implication and future challenges. Natural Hazards. 108(1). 1–30. 36 indexed citations
19.
20.
Basharat, Muhammad, et al.. (2018). Regolith thickness modeling using a GIS approach for landslide distribution analysis, NW Himalayas. Journal of Mountain Science. 15(11). 2466–2479. 22 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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