Abdul Rauf

1.6k citations
100 papers · 1.3k indexed · h-index 20
Topics
Graph theory and applications (38 papers)Computational Drug Discovery Methods (38 papers)Nanofluid Flow and Heat Transfer (29 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports

In The Last Decade

Abdul Rauf

91 papers receiving 1.3k citations

Peers

Abdul Rauf
Comparison fields: 5 of 104
  • Biomedical Engineering 526
  • Computational Theory and Mathematics 515
  • Geometry and Topology 487
  • Organic Chemistry 307
  • Computational Mechanics 305
Replace Marwan Amin Kutbi with:
Marwan Amin Kutbi Saudi Arabia
Muhammad Faisal Nadeem Pakistan
Fernando C. Silva Portugal
Yansheng Liu China
Muhammad Imran Qureshi Pakistan
Muhammad Naeem Pakistan
Milan Kubı́ček Czechia
Aboozar Khajeh Iran
Yiwei Wang China
Abdul Rauf relative to Marwan Amin Kutbi Saudi Arabia Marwan Amin Kutbi's profile →
Citations per field
00.5×4.4×
Marwan Amin Kutbi · 1×
Citations per year

Countries citing papers authored by Abdul Rauf

Since Specialization
Citations

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

Fields of papers citing papers by Abdul Rauf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abdul Rauf

This figure shows the co-authorship network connecting the top 25 collaborators of Abdul Rauf. A scholar is included among the top collaborators of Abdul Rauf 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 Abdul Rauf. Abdul Rauf 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
#WorkIndexed citations
1 2
2 1
3 2
4 26
5 7
6 12
7 16
8 5
9 15
10 3
11 22
12 5
13 1
14 43
15 13
16 23
17 2
18 6
19 3
20 91

About Abdul Rauf

Abdul Rauf is a scholar working on Geometry and Topology, Fluid Flow and Transfer Processes and Modeling and Simulation, having authored 100 papers that have together received 1.3k indexed citations. Recurring topics across this work include Graph theory and applications (38 papers), Computational Drug Discovery Methods (38 papers) and Nanofluid Flow and Heat Transfer (29 papers). The work is most often cited by research in Geometry and Topology (487 citations), Computational Theory and Mathematics (515 citations) and Modeling and Simulation (133 citations). Abdul Rauf has collaborated with scholars based in Pakistan, China and Saudi Arabia. Frequent co-authors include Muhammad Naeem, Muhammad Ishtiaq, Muhammad Kamran Siddiqui, Nehad Ali Shah, Adnan Aslam, Thongchai Botmart, Muhammad Kamran Jamil, Najeeb Alam Khan, Dumitru Vieru and Mehwish Hussain Muhammad. 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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