Pascal Muam Mah

672 total citations
20 papers, 468 citations indexed

About

Pascal Muam Mah is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Oral Surgery. According to data from OpenAlex, Pascal Muam Mah has authored 20 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Artificial Intelligence and 5 papers in Oral Surgery. Recurrent topics in Pascal Muam Mah's work include Radiation Dose and Imaging (5 papers), Dental Radiography and Imaging (5 papers) and Organizational and Employee Performance (3 papers). Pascal Muam Mah is often cited by papers focused on Radiation Dose and Imaging (5 papers), Dental Radiography and Imaging (5 papers) and Organizational and Employee Performance (3 papers). Pascal Muam Mah collaborates with scholars based in Poland, United States and Saudi Arabia. Pascal Muam Mah's co-authors include William D. McDavid, Iwona Skalna, Adam Piórkowski, Marcel Noujeim, Pirkka V. Nummikoski, Fathi E. Abd El‐Samie and A. John and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Sciences and Dentomaxillofacial Radiology.

In The Last Decade

Pascal Muam Mah

19 papers receiving 449 citations

Peers

Countries citing papers authored by Pascal Muam Mah

Since Specialization

Citations

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

Fields of papers citing papers by Pascal Muam Mah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pascal Muam Mah. 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 Pascal Muam Mah. The network helps show where Pascal Muam Mah may publish in the future.

Co-authorship network of co-authors of Pascal Muam Mah

This figure shows the co-authorship network connecting the top 25 collaborators of Pascal Muam Mah. A scholar is included among the top collaborators of Pascal Muam Mah 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 Pascal Muam Mah. Pascal Muam Mah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Aspects-based representative significance of Machine Learning algorithms & natural language processing applications in nanotechnology. 2024 ·Pascal Muam Mah	1
2	Investigating Remote Healthcare Accessibility with AI: Deep Learning and NLP-Based Knowledge Graph for Digitalized Diagnostics 2024 ·Proceedings of the AAAI Symposium Series ·Pascal Muam Mah	1
3	Cancelable Biometrics Based on Quaternion Adaptive Filter Optimization for Security Applications 2024 ·(unknown), Adam Piórkowski, Pascal Muam Mah, Fathi E. Abd El‐Samie	2
4	AI and robotic process automation in Fintech: analyzing the shift towards digitized customer services and operational efficiency 2023 ·Scientific Papers of Silesian University of Technology Organization and Management Series ·Pascal Muam Mah, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown)	1
5	Enabling digital transformation and knowledge migration: the impact of NLP, AI, and ML in mobile applications 2023 ·Scientific Papers of Silesian University of Technology Organization and Management Series ·Pascal Muam Mah, Iwona Skalna, (unknown), (unknown)	2
6	The art of deep learning and natural language processing for emotional sentiment analysis on the academic scholars' peer review process. 2023 ·Pascal Muam Mah	0
7	The state-of-the-art of modern workplace learning: an applied assessment method of a pre-train deep learning on modern learning tools 2023 ·The Learning Organization ·(unknown), (unknown), Pascal Muam Mah, (unknown)	10
8	Assessing the Impact of Racism on Neurodiversity based on Natural Language Processing and Artificial Intelligence 2023 ·Pascal Muam Mah	2
9	Analysis of Artificial Intelligence and Natural Language Processing Significance as Expert Systems Support for E-Health Using Pre-Train Deep Learning Models 2022 ·Pascal Muam Mah	8
10	Influence of Internet of things on human psychology (internet of thoughts) for education, healthcare, and businesses 2022 ·SHILAP Revista de lepidopterología ·Pascal Muam Mah, Iwona Skalna, (unknown), A. John	4
11	Integration of Sensors and Predictive Analysis with Machine Learning as a Modern Tool for Economic Activities and a Major Step to Fight Against Climate Change 2022 ·Pascal Muam Mah, Iwona Skalna, (unknown), (unknown), (unknown), (unknown), (unknown)	2
12	Natural Language Processing and Artificial Intelligence for Enterprise Management in the Era of Industry 4.0 2022 ·Applied Sciences ·Pascal Muam Mah, Iwona Skalna, (unknown)	48
13	Significant of space-syntax in assessing trend needed for the applicability and used of big data on healthcare sector 2022 ·Pascal Muam Mah, Iwona Skalna	1
14	Analysis of Natural Language Processing in the FinTech Models of Mid-21st Century 2022 ·Pascal Muam Mah, Iwona Skalna, (unknown), (unknown)	2
15	Analysis of Natural Language Processing in the FinTech Models of Mid-21st Century 2022 ·Pascal Muam Mah, Iwona Skalna, (unknown), (unknown)	4
16	Deriving Hounsfield units using grey levels in cone beam CT: a clinical application 2012 ·Dentomaxillofacial Radiology ·(unknown), Pascal Muam Mah, (unknown)	97
17	Deriving Hounsfield units using grey levels in cone beam computed tomography 2010 ·Dentomaxillofacial Radiology ·Pascal Muam Mah, (unknown), William D. McDavid	273
18	Portable Hand-held X-ray Unit: Effects of Motion 2008 ·Oral Surgery Oral Medicine Oral Pathology Oral Radiology and Endodontology ·Pascal Muam Mah, William D. McDavid	5
19	Conversion of CBCT Gray Levels to Hounsfield Units 2008 ·Oral Surgery Oral Medicine Oral Pathology Oral Radiology and Endodontology ·Pascal Muam Mah, William D. McDavid	2
20	Effect of movement on high-resolution cone-beam computed tomography images 2006 ·Oral Surgery Oral Medicine Oral Pathology Oral Radiology and Endodontology ·(unknown), Marcel Noujeim, (unknown), (unknown), Pascal Muam Mah, Pirkka V. Nummikoski	3

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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