Patrice Monkam

40 total papers · 561 total citations
26 papers, 389 citations indexed

About

Patrice Monkam is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Patrice Monkam has authored 26 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Computer Vision and Pattern Recognition and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Patrice Monkam's work include Radiomics and Machine Learning in Medical Imaging (9 papers), Medical Image Segmentation Techniques (9 papers) and COVID-19 diagnosis using AI (7 papers). Patrice Monkam is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (9 papers), Medical Image Segmentation Techniques (9 papers) and COVID-19 diagnosis using AI (7 papers). Patrice Monkam collaborates with scholars based in China, United States and Macao. Patrice Monkam's co-authors include Wei Qian, Shouliang Qi, Wenkai Lu, Yudong Yao, Yile Ao, He Ma, Weiming Gao, Fangfang Han, Mingjie Xu and Fan Yang and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Access and Measurement Science and Technology.

In The Last Decade

Patrice Monkam

24 papers receiving 375 citations

Author Peers

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

Author						Papers	Cites
Patrice Monkam	217	154	99	84	64	26	389
Muhammad Rashid	73 0.3×	43 0.3×	123 1.2×	30 0.4×	74 1.2×	36	410
Yingjian Yang	167 0.8×	119 0.8×	16 0.2×	13 0.2×	35 0.5×	38	349
A. Mamonov	116 0.5×	37 0.2×	51 0.5×	38 0.5×	18 0.3×	21	362
Garima Yadav	64 0.3×	10 0.1×	46 0.5×	43 0.5×	32 0.5×	18	365
Harshawn Malhi	195 0.9×	98 0.6×	77 0.8×	5 0.1×	7 0.1×	14	437
Entao Liu	45 0.2×	39 0.3×	64 0.6×	195 2.3×	59 0.9×	51	396
Máx Chacón	77 0.4×	24 0.2×	130 1.3×	104 1.2×	11 0.2×	36	410
Natsuki Shimizu	141 0.6×	25 0.2×	101 1.0×	101 1.2×	3 0.0×	10	345
Zelong Liu	136 0.6×	24 0.2×	98 1.0×	4 0.0×	17 0.3×	27	337
Samuel Bignardi	100 0.5×	35 0.2×	44 0.4×	247 2.9×	91 1.4×	29	422

Countries citing papers authored by Patrice Monkam

Since Specialization

Citations

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

Fields of papers citing papers by Patrice Monkam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrice Monkam

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