Mohamed Khalifa

95 total papers · 1.3k total citations
70 papers, 874 citations indexed

About

Mohamed Khalifa is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Mechanics of Materials. According to data from OpenAlex, Mohamed Khalifa has authored 70 papers receiving a total of 874 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 9 papers in Mechanics of Materials. Recurrent topics in Mohamed Khalifa's work include Video Surveillance and Tracking Methods (7 papers), Anomaly Detection Techniques and Applications (5 papers) and Numerical methods in engineering (5 papers). Mohamed Khalifa is often cited by papers focused on Video Surveillance and Tracking Methods (7 papers), Anomaly Detection Techniques and Applications (5 papers) and Numerical methods in engineering (5 papers). Mohamed Khalifa collaborates with scholars based in Egypt, Canada and Hong Kong. Mohamed Khalifa's co-authors include Efraim Turban, Narasimha Bolloju, Sherin M. Moussa, June Verner, Omar H. Karam, Ron Chi-Wai Kwok, Hala H. Zayed, Robert M. Davison, Ibrahim F. Moawad and Ahmed Taha and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Communications of the ACM.

In The Last Decade

Mohamed Khalifa

63 papers receiving 807 citations

Author Peers

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

Author Last Decade Papers Cites
Mohamed Khalifa 257 128 106 102 82 70 874
Ergun Gide 259 1.0× 158 1.2× 53 0.5× 59 0.6× 65 0.8× 78 959
Carla Simone 194 0.8× 125 1.0× 67 0.6× 68 0.7× 120 1.5× 79 831
José Luis Sánchez-Cervantes 276 1.1× 175 1.4× 73 0.7× 54 0.5× 74 0.9× 41 844
Adem Karahoca 210 0.8× 234 1.8× 62 0.6× 86 0.8× 36 0.4× 79 954
Pierluigi Ritrovato 270 1.1× 207 1.6× 110 1.0× 21 0.2× 63 0.8× 51 767
Mourad Abed 257 1.0× 267 2.1× 75 0.7× 37 0.4× 124 1.5× 85 816
Wolfgang Maaß 228 0.9× 93 0.7× 63 0.6× 17 0.2× 83 1.0× 103 921
Lois Delcambre 426 1.7× 365 2.9× 69 0.7× 41 0.4× 68 0.8× 108 913
Manzoor Ahmed Hashmani 206 0.8× 298 2.3× 86 0.8× 33 0.3× 58 0.7× 91 769
Fahad Alotaibi 319 1.2× 162 1.3× 35 0.3× 23 0.2× 62 0.8× 51 763

Countries citing papers authored by Mohamed Khalifa

Since Specialization
Citations

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

Fields of papers citing papers by Mohamed Khalifa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohamed Khalifa

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