Masroor Alam
Impact in
- Geophysics top 5%
- Geological and Geochemical Analysis
- earthquake and tectonic studies
- High-pressure geophysics and materials
- Artificial Intelligence top 5%
- Geochemistry and Geologic Mapping
Papers in
- Geophysics 32
- Geological and Geochemical Analysis 32
- earthquake and tectonic studies 16
- High-pressure geophysics and materials 3
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- Geochemistry and Geologic Mapping 29
- Co-authors
- Sheng‐Rong Li (22 shared papers)M. Santosh (21 shared papers)Lin Li (13 shared papers)Chenglu Li (9 shared papers)Tehseen Zafar (5 shared papers)Cheng‐Biao Leng (3 shared papers)Saif Rehman (3 shared papers)Hafiz Ur Rehman (3 shared papers)
In The Last Decade
Masroor Alam
33 papers receiving 331 citations
Peers
Comparison fields: 5 of 53
- Geophysics 288
- Artificial Intelligence 247
- Geochemistry and Petrology 43
- Management Information Systems 12
- Strategy and Management 20
Countries citing papers authored by Masroor Alam
This map shows the geographic impact of Masroor Alam'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 Masroor Alam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masroor Alam more than expected).
Fields of papers citing papers by Masroor Alam
This network shows the impact of papers produced by Masroor Alam. 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 Masroor Alam. The network helps show where Masroor Alam may publish in the future.
Co-authors
The 25 scholars most cited alongside Masroor Alam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 45 | |
| 2 | 2020 | 34 | |
| 3 | 2022 | 24 | |
| 4 | 2020 | 23 | |
| 5 | 2019 | 21 | |
| 6 | 2019 | 18 | |
| 7 | 2018 | 18 | |
| 8 | 2020 | 18 | |
| 9 | 2019 | 17 | |
| 10 | 2019 | 15 | |
| 11 | 2019 | 14 | |
| 12 | 2019 | 11 | |
| 13 | 2019 | 10 | |
| 14 | 2021 | 10 | |
| 15 | 2022 | 10 | |
| 16 | 2023 | 10 | |
| 17 | 2020 | 9 | |
| 18 | 2021 | 8 | |
| 19 | 2022 | 6 | |
| 20 | 2023 | 6 |
About Masroor Alam
Masroor Alam is a scholar working on Geophysics, Artificial Intelligence, Geochemistry and Petrology, Mechanics of Materials and Inorganic Chemistry, having authored 39 papers that have together received 362 indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (32 papers), Geochemistry and Geologic Mapping (29 papers), earthquake and tectonic studies (16 papers), Geochemistry and Elemental Analysis (4 papers), Radioactive element chemistry and processing (4 papers), High-pressure geophysics and materials (3 papers), Hydrocarbon exploration and reservoir analysis (3 papers) and Geochemistry and Geochronology of Asian Mineral Deposits (2 papers). The work is most often cited by research in Geophysics (288 citations), Artificial Intelligence (247 citations), Geochemistry and Petrology (43 citations), Management Information Systems (12 citations) and Strategy and Management (20 citations). Masroor Alam has collaborated with scholars based in China, Pakistan and Australia. Frequent co-authors include Sheng‐Rong Li, M. Santosh, Lin Li, Chenglu Li, Tehseen Zafar, Cheng‐Biao Leng, Saif Rehman, Hafiz Ur Rehman, Abiola Oyebamiji and Junfeng Shen. Their work appears in journals such as Ore Geology Reviews, Geological Journal, Lithos, American Mineralogist and Frontiers in Earth Science.
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.