Mohamed Roushdy

116 total papers · 1.4k total citations
76 papers, 902 citations indexed

About

Mohamed Roushdy is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Mohamed Roushdy has authored 76 papers receiving a total of 902 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 23 papers in Artificial Intelligence and 14 papers in Signal Processing. Recurrent topics in Mohamed Roushdy's work include AI in cancer detection (10 papers), Biometric Identification and Security (8 papers) and User Authentication and Security Systems (7 papers). Mohamed Roushdy is often cited by papers focused on AI in cancer detection (10 papers), Biometric Identification and Security (8 papers) and User Authentication and Security Systems (7 papers). Mohamed Roushdy collaborates with scholars based in Egypt, Yemen and Saudi Arabia. Mohamed Roushdy's co-authors include Yasmeen George, Hala H. Zayed, Mohammed A.‐M. Salem, Bassant M. Elbagoury, M. Abdel-Aziz, Marco Alfonse, Mohamed M. El Nady, Abdel Halim Salem, Walaa Gad and Kenneth Revett and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Mohamed Roushdy

71 papers receiving 834 citations

Author Peers

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

Author						Papers	Cites
Mohamed Roushdy	383	331	230	96	88	76	902
Tjeng Wawan Cenggoro	290 0.8×	174 0.5×	148 0.6×	56 0.6×	69 0.8×	71	1.0k
Kesari Verma	515 1.3×	261 0.8×	394 1.7×	72 0.8×	41 0.5×	50	920
Lei Cui	435 1.1×	562 1.7×	202 0.9×	39 0.4×	72 0.8×	42	987
Hong Li	438 1.1×	210 0.6×	193 0.8×	39 0.4×	47 0.5×	91	949
J. Dinesh Peter	310 0.8×	269 0.8×	312 1.4×	52 0.5×	32 0.4×	66	807
Devvi Sarwinda	326 0.9×	225 0.7×	276 1.2×	35 0.4×	78 0.9×	79	840
Sunil Aryal	464 1.2×	254 0.8×	134 0.6×	40 0.4×	34 0.4×	67	1.1k
Omar S. Al-Kadi	299 0.8×	221 0.7×	265 1.2×	54 0.6×	34 0.4×	39	771
Ming Yang	338 0.9×	396 1.2×	66 0.3×	60 0.6×	44 0.5×	89	918
Ibrahim Abunadi	357 0.9×	153 0.5×	209 0.9×	57 0.6×	31 0.4×	45	894

Countries citing papers authored by Mohamed Roushdy

Since Specialization

Citations

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

Fields of papers citing papers by Mohamed Roushdy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohamed Roushdy

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