Shams Kalam

66 total papers · 2.3k total citations
57 papers, 1.7k citations indexed

About

Shams Kalam is a scholar working on Ocean Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Shams Kalam has authored 57 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Ocean Engineering, 30 papers in Mechanical Engineering and 22 papers in Mechanics of Materials. Recurrent topics in Shams Kalam's work include Enhanced Oil Recovery Techniques (36 papers), Hydraulic Fracturing and Reservoir Analysis (29 papers) and Hydrocarbon exploration and reservoir analysis (22 papers). Shams Kalam is often cited by papers focused on Enhanced Oil Recovery Techniques (36 papers), Hydraulic Fracturing and Reservoir Analysis (29 papers) and Hydrocarbon exploration and reservoir analysis (22 papers). Shams Kalam collaborates with scholars based in Saudi Arabia, British Virgin Islands and United Arab Emirates. Shams Kalam's co-authors include Muhammad Shahzad Kamal, Sidqi A. Abu-Khamsin, Shirish Patil, Syed Muhammad Shakil Hussain, Mohamed Mahmoud, Najeebullah Lashari, Rizwan Ahmed Khan, Abdulazeez Abdulraheem, Tarek Ganat and Zeeshan Tariq and has published in prestigious journals such as Scientific Reports, Fuel and Energy & Fuels.

In The Last Decade

Shams Kalam

52 papers receiving 1.7k citations

Hit Papers

Surfactant Adsorption Iso... 2021 2026 2022 2024 2021 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Shams Kalam 832 600 483 379 335 57 1.7k
Sidqi A. Abu-Khamsin 1.0k 1.2× 672 1.1× 738 1.5× 446 1.2× 336 1.0× 85 2.1k
Chunsheng Pu 954 1.1× 705 1.2× 568 1.2× 279 0.7× 367 1.1× 95 1.7k
Ahmad S. Abushaikha 746 0.9× 444 0.7× 370 0.8× 245 0.6× 105 0.3× 64 1.4k
Rashid S. Al‐Maamari 1.3k 1.5× 629 1.0× 795 1.6× 636 1.7× 179 0.5× 85 1.8k
Qi Jiang 673 0.8× 628 1.0× 415 0.9× 322 0.8× 182 0.5× 73 1.6k
Amir Hossein Saeedi Dehaghani 716 0.9× 608 1.0× 694 1.4× 552 1.5× 194 0.6× 100 1.6k
Jingyi Zhu 635 0.8× 462 0.8× 419 0.9× 257 0.7× 462 1.4× 91 2.3k
Jenn‐Tai Liang 1.4k 1.6× 1.0k 1.7× 627 1.3× 350 0.9× 95 0.3× 39 1.8k
Arezou Jafari 1.0k 1.2× 660 1.1× 563 1.2× 565 1.5× 288 0.9× 117 2.1k
Chao Zhang 841 1.0× 419 0.7× 550 1.1× 188 0.5× 79 0.2× 70 1.7k

Countries citing papers authored by Shams Kalam

Since Specialization
Citations

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

Fields of papers citing papers by Shams Kalam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shams Kalam

This figure shows the co-authorship network connecting the top 25 collaborators of Shams Kalam. A scholar is included among the top collaborators of Shams Kalam 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 Shams Kalam. Shams Kalam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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