Mohammad Ashraf

1.4k citations
119 papers · 891 · h-index 17

Impact in

Papers in

Mohammad Ashraf

101 papers receiving 810 citations

Peers

Mohammad Ashraf
Comparison fields: 5 of 47
  • Algebra and Number Theory 573
  • Geometry and Topology 501
  • Computational Theory and Mathematics 285
  • Discrete Mathematics and Combinatorics 41
  • Artificial Intelligence 265
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Scott T. Chapman United States
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Ualbai Umirbaev Kazakhstan
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Citations per field
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Citations per year

Countries citing papers authored by Mohammad Ashraf

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Ashraf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mohammad Ashraf, 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 Mohammad Ashraf Line = papers co-authored together Mohammad Ashraf links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 119 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200288
2 201661
3 201851
4 199647
5 201443
6
ON DERIVATION AND COMMUTATIVITY IN PRIME RINGS
200136
7 201529
8 200427
9 200824
10 201021
11 201918
12 200918
13 200418
14
On Lie ideals and Jordan left derivations of prime rings
200017
15 201717
16 201617
17 200216
18 201813
19 200811
20 202211

About Mohammad Ashraf

Mohammad Ashraf is a scholar working on Algebra and Number Theory, Geometry and Topology, Computational Theory and Mathematics, Artificial Intelligence and Discrete Mathematics and Combinatorics, having authored 119 papers that have together received 891 indexed citations. Recurring topics across this work include Advanced Topics in Algebra (90 papers), Algebraic structures and combinatorial models (77 papers), Rings, Modules, and Algebras (61 papers), Coding theory and cryptography (12 papers), Quantum Computing Algorithms and Architecture (10 papers), Matrix Theory and Algorithms (10 papers), Quantum-Dot Cellular Automata (10 papers) and Finite Group Theory Research (8 papers). The work is most often cited by research in Algebra and Number Theory (573 citations), Geometry and Topology (501 citations), Computational Theory and Mathematics (285 citations), Discrete Mathematics and Combinatorics (41 citations) and Artificial Intelligence (265 citations). Mohammad Ashraf has collaborated with scholars based in India, Saudi Arabia and Morocco. Frequent co-authors include Nadeem ur Rehman, Shakir Ali, Nazia Parveen, Bilal Ahmad Wani, Saba Siddiqui, Hidetoshi Marubayashi, Namita Kumari, Feng Wei, Mohd. Samar Ansari and Hai Q. Dinh. Their work appears in journals such as Quantum Information Processing, Results in Mathematics, SpringerPlus, Revista de la Real Academia de Ciencias Exactas Físicas y Naturales Serie A Matemáticas and Communications in Algebra.

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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