M. M. Tharwat

54 total papers · 633 total citations
46 papers, 481 citations indexed

About

M. M. Tharwat is a scholar working on Mathematical Physics, Computational Theory and Mathematics and Applied Mathematics. According to data from OpenAlex, M. M. Tharwat has authored 46 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Mathematical Physics, 20 papers in Computational Theory and Mathematics and 14 papers in Applied Mathematics. Recurrent topics in M. M. Tharwat's work include Spectral Theory in Mathematical Physics (24 papers), Numerical methods in inverse problems (19 papers) and Advanced Mathematical Modeling in Engineering (11 papers). M. M. Tharwat is often cited by papers focused on Spectral Theory in Mathematical Physics (24 papers), Numerical methods in inverse problems (19 papers) and Advanced Mathematical Modeling in Engineering (11 papers). M. M. Tharwat collaborates with scholars based in Egypt, Saudi Arabia and Qatar. M. M. Tharwat's co-authors include A. H. Bhrawy, M. H. Annaby, Ahmet Yıldırım, Mohammed Alghamdi, M. A. Abdelkawy, M.S. Osman, G. M. Bahaa, Ali H Bhrawy, H. Ashraf and Hamood Ur Rehman and has published in prestigious journals such as Applied Mathematics and Computation, Applied Mathematical Modelling and Mathematical and Computer Modelling.

In The Last Decade

M. M. Tharwat

43 papers receiving 463 citations

Hit Papers

Unraveling the (4+1)-dime... 2024 2026 2024 10 20 30

Author Peers

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

Author Last Decade Papers Cites
M. M. Tharwat 209 172 164 158 120 46 481
Н. А. Сидоров 103 0.5× 114 0.7× 52 0.3× 201 1.3× 201 1.7× 70 410
Lidia Aceto 88 0.4× 125 0.7× 66 0.4× 79 0.5× 231 1.9× 38 404
Roman Wituła 71 0.3× 173 1.0× 128 0.8× 79 0.5× 121 1.0× 79 484
Jie Xin 163 0.8× 171 1.0× 106 0.6× 178 1.1× 150 1.3× 50 551
Jun Yang 164 0.8× 54 0.3× 94 0.6× 286 1.8× 59 0.5× 52 439
Bilender P. Allahverdiev 388 1.9× 62 0.4× 130 0.8× 272 1.7× 32 0.3× 100 490
Masaya Yamaguti 151 0.7× 48 0.3× 137 0.8× 117 0.7× 84 0.7× 31 480
Anne Nouri 134 0.6× 86 0.5× 117 0.7× 349 2.2× 61 0.5× 53 515
Hongyou Wu 211 1.0× 92 0.5× 251 1.5× 171 1.1× 54 0.5× 33 476
Mehmet Emir Köksal 73 0.3× 207 1.2× 139 0.8× 146 0.9× 220 1.8× 51 472

Countries citing papers authored by M. M. Tharwat

Since Specialization
Citations

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

Fields of papers citing papers by M. M. Tharwat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. M. Tharwat

This figure shows the co-authorship network connecting the top 25 collaborators of M. M. Tharwat. A scholar is included among the top collaborators of M. M. Tharwat 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 M. M. Tharwat. M. M. Tharwat 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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