Mohammed Albassam

596 citations
54 papers · 387 indexed · h-index 11

Mohammed Albassam

50 papers receiving 371 citations

Peers

Mohammed Albassam
Comparison fields: 5 of 94
  • Statistics, Probability and Uncertainty 148
  • Statistics and Probability 170
  • Modeling and Simulation 36
  • Management Science and Operations Research 83
  • Medical Laboratory Technology 6
Replace Afrah Al‐Bossly with:
Afrah Al‐Bossly Saudi Arabia
Tahani A. Abushal Saudi Arabia
Abebe Geletu Germany
Hassan M. Aljohani Saudi Arabia
Nathaniel T. Stevens Canada
Mohamed A. El-Beltagy Egypt
Saad J. Almalki Saudi Arabia
Dongdong Xiang China
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Mohammed Albassam relative to Afrah Al‐Bossly Saudi Arabia Afrah Al‐Bossly's profile →
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Citations per year

Countries citing papers authored by Mohammed Albassam

Since Specialization
Citations

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

Fields of papers citing papers by Mohammed Albassam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Mohammed Albassam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mohammed Albassam Line = papers co-authored together Mohammed Albassam links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
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16 202010
17 20195
18
An application of the fractional calculus
19856
19
On the existence of series solution of differential equations of generalized order
19705
20
On an integro-differential equation of Legendre-Volterra type
19660

About Mohammed Albassam

Mohammed Albassam is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Medical Laboratory Technology, having authored 54 papers that have together received 387 indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (24 papers), Advanced Statistical Methods and Models (12 papers), Fuzzy Systems and Optimization (11 papers), Fault Detection and Control Systems (8 papers), Statistical Distribution Estimation and Applications (8 papers), Scientific Measurement and Uncertainty Evaluation (5 papers), Probabilistic and Robust Engineering Design (5 papers) and Forecasting Techniques and Applications (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (148 citations), Statistics and Probability (170 citations) and Modeling and Simulation (36 citations). Mohammed Albassam has collaborated with scholars based in Saudi Arabia, Pakistan and Tanzania. Frequent co-authors include Muhammad Aslam, Nasrullah Khan, G. Srinivasa Rao, Muhammad Ahsan ul Haq, Hassan M. Okasha, Jothibasu Ramasamy, Arturo Magana-Mora, Mazen Nassar, Muhammad Azam and Muhammad Naveed. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

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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