Mohammad Sharaf

34 total papers · 431 total citations
21 papers, 216 citations indexed

About

Mohammad Sharaf is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mohammad Sharaf has authored 21 papers receiving a total of 216 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 8 papers in Computer Networks and Communications and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mohammad Sharaf's work include Advanced Software Engineering Methodologies (10 papers), Context-Aware Activity Recognition Systems (7 papers) and Simulation Techniques and Applications (5 papers). Mohammad Sharaf is often cited by papers focused on Advanced Software Engineering Methodologies (10 papers), Context-Aware Activity Recognition Systems (7 papers) and Simulation Techniques and Applications (5 papers). Mohammad Sharaf collaborates with scholars based in Italy, Palestinian Territory and Sweden. Mohammad Sharaf's co-authors include Henry Muccini, Danny Weyns, Ivano Malavolta, Romina Spalazzese, Ivica Crnković, Paola Inverardi, Saeid Zanganeh, Mohammad Reza Sepand, Jim Q. Ho and Shannon E. Lynch and has published in prestigious journals such as SHILAP Revista de lepidopterología, Antibodies and International Journal of Integrated Engineering.

In The Last Decade

Mohammad Sharaf

18 papers receiving 205 citations

Author Peers

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

Author Last Decade Papers Cites
Mohammad Sharaf 112 101 49 35 32 21 216
Ivan Ruchkin 75 0.7× 102 1.0× 58 1.2× 21 0.6× 27 0.8× 28 248
Kim-Leng Poh 94 0.8× 108 1.1× 68 1.4× 14 0.4× 27 0.8× 27 307
Cornel Klein 70 0.6× 57 0.6× 40 0.8× 26 0.7× 16 0.5× 24 217
D. Janaki Ram 115 1.0× 107 1.1× 83 1.7× 25 0.7× 25 0.8× 32 283
Rodion Podorozhny 108 1.0× 155 1.5× 138 2.8× 20 0.6× 21 0.7× 18 313
Jean Marcelo Simão 75 0.7× 74 0.7× 42 0.9× 39 1.1× 63 2.0× 37 296
Mahshid Helali Moghadam 83 0.7× 67 0.7× 42 0.9× 13 0.4× 12 0.4× 27 200
Stylianos Basagiannis 122 1.1× 88 0.9× 59 1.2× 7 0.2× 19 0.6× 29 271
Fakhrud Din 52 0.5× 146 1.4× 66 1.3× 78 2.2× 12 0.4× 27 325
Shigeru Imai 113 1.0× 56 0.6× 83 1.7× 16 0.5× 12 0.4× 24 212

Countries citing papers authored by Mohammad Sharaf

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Sharaf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Sharaf

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