R.N.G. Naguib

300 total papers · 2.3k total citations
174 papers, 1.5k citations indexed

About

R.N.G. Naguib is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Health Information Management. According to data from OpenAlex, R.N.G. Naguib has authored 174 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Artificial Intelligence, 33 papers in Computer Vision and Pattern Recognition and 26 papers in Health Information Management. Recurrent topics in R.N.G. Naguib's work include AI in cancer detection (28 papers), Electronic Health Records Systems (17 papers) and Radiomics and Machine Learning in Medical Imaging (11 papers). R.N.G. Naguib is often cited by papers focused on AI in cancer detection (28 papers), Electronic Health Records Systems (17 papers) and Radiomics and Machine Learning in Medical Imaging (11 papers). R.N.G. Naguib collaborates with scholars based in United Kingdom, Philippines and Australia. R.N.G. Naguib's co-authors include Mark K. Bennett, Alan Murray, Abdelrahim Nasser Esgiar, B.S. Sharif, R.K. Bali, A. Dwivedi, Nilmini Wickramasinghe, Hüseyin Şeker, Michael Odetayo and Dobrila Petrov́ić and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Urology and British Journal of Cancer.

In The Last Decade

R.N.G. Naguib

153 papers receiving 1.4k citations

Author Peers

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

Author						Papers	Cites
R.N.G. Naguib	511	335	207	195	188	174	1.5k
Vincenzo Della Mea	685 1.3×	135 0.4×	239 1.2×	99 0.5×	268 1.4×	122	1.4k
Guotong Xie	608 1.2×	171 0.5×	233 1.1×	148 0.8×	402 2.1×	172	1.8k
Yu Tian	330 0.6×	96 0.3×	291 1.4×	157 0.8×	163 0.9×	112	1.3k
Raj Gururajan	489 1.0×	113 0.3×	183 0.9×	166 0.9×	171 0.9×	151	1.7k
Thomas Ganslandt	458 0.9×	113 0.3×	394 1.9×	423 2.2×	278 1.5×	109	1.8k
Ricky K. Taira	627 1.2×	354 1.1×	455 2.2×	183 0.9×	379 2.0×	132	1.6k
Tianshu Zhou	276 0.5×	144 0.4×	135 0.7×	145 0.7×	141 0.8×	93	1.2k
Christoph M. Friedrich	459 0.9×	238 0.7×	344 1.7×	59 0.3×	163 0.9×	116	1.5k
Sameem Abdul Kareem	614 1.2×	496 1.5×	119 0.6×	79 0.4×	263 1.4×	104	1.7k
Jitendra Jonnagaddala	534 1.0×	104 0.3×	171 0.8×	170 0.9×	264 1.4×	70	1.1k

Countries citing papers authored by R.N.G. Naguib

Since Specialization

Citations

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

Fields of papers citing papers by R.N.G. Naguib

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R.N.G. Naguib. 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 R.N.G. Naguib. The network helps show where R.N.G. Naguib may publish in the future.

Co-authorship network of co-authors of R.N.G. Naguib

This figure shows the co-authorship network connecting the top 25 collaborators of R.N.G. Naguib. A scholar is included among the top collaborators of R.N.G. Naguib 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 R.N.G. Naguib. R.N.G. Naguib 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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