Majed Alamri

52 total papers · 847 total citations
42 papers, 564 citations indexed

About

Majed Alamri is a scholar working on Clinical Psychology, General Health Professions and Emergency Medical Services. According to data from OpenAlex, Majed Alamri has authored 42 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Clinical Psychology, 15 papers in General Health Professions and 7 papers in Emergency Medical Services. Recurrent topics in Majed Alamri's work include Health and Well-being Studies (8 papers), Healthcare professionals’ stress and burnout (7 papers) and Resilience and Mental Health (5 papers). Majed Alamri is often cited by papers focused on Health and Well-being Studies (8 papers), Healthcare professionals’ stress and burnout (7 papers) and Resilience and Mental Health (5 papers). Majed Alamri collaborates with scholars based in Saudi Arabia, Kazakhstan and Ethiopia. Majed Alamri's co-authors include Joseph U. Almazan, Abdulrhman Albougami, Jonas Preposi Cruz, Joseph Uy Almazan, Md Dilshad Manzar, Nahed Alquwez, Seithikurippu R. Pandi‐Perumal, Salahuddin Mohammed, Kelly‐Ann Allen and Rawaih Falatah and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Environmental Research and Public Health.

In The Last Decade

Majed Alamri

37 papers receiving 537 citations

Author Peers

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

Author						Papers	Cites
Majed Alamri	181	153	82	70	68	42	564
Abdulrhman Albougami	286 1.6×	180 1.2×	87 1.1×	155 2.2×	66 1.0×	48	676
Loai Abu Sharour	250 1.4×	190 1.2×	78 1.0×	43 0.6×	82 1.2×	49	658
Hye Chong Hong	82 0.5×	268 1.8×	82 1.0×	146 2.1×	84 1.2×	36	557
Khadizah H. Abdul‐Mumin	172 1.0×	185 1.2×	50 0.6×	48 0.7×	34 0.5×	59	496
Sue Coffey	303 1.7×	245 1.6×	49 0.6×	38 0.5×	55 0.8×	22	579
Jennifer Saylor	115 0.6×	192 1.3×	60 0.7×	50 0.7×	60 0.9×	47	528
Selma Sabancıoğulları	153 0.8×	207 1.4×	80 1.0×	25 0.4×	32 0.5×	46	576
Marie Edwards	173 1.0×	185 1.2×	97 1.2×	88 1.3×	27 0.4×	22	581
Mayumi Willgerodt	181 1.0×	366 2.4×	120 1.5×	20 0.3×	69 1.0×	48	688
Chin‐Yen Han	174 1.0×	208 1.4×	183 2.2×	16 0.2×	49 0.7×	58	660

Countries citing papers authored by Majed Alamri

Since Specialization

Citations

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

Fields of papers citing papers by Majed Alamri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Majed Alamri

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