Shabnam Niroumand

49 total papers · 609 total citations
33 papers, 379 citations indexed

About

Shabnam Niroumand is a scholar working on Epidemiology, Clinical Psychology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Shabnam Niroumand has authored 33 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 6 papers in Clinical Psychology and 6 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Shabnam Niroumand's work include Healthcare professionals’ stress and burnout (4 papers), Health and Well-being Studies (3 papers) and Online and Blended Learning (2 papers). Shabnam Niroumand is often cited by papers focused on Healthcare professionals’ stress and burnout (4 papers), Health and Well-being Studies (3 papers) and Online and Blended Learning (2 papers). Shabnam Niroumand collaborates with scholars based in Iran, Belgium and United States. Shabnam Niroumand's co-authors include Maliheh Dadgarmoghaddam, Maryam Abrishami, Mohammad Khajedaluee, Majid Khadem‐Rezaiyan, Bahare Fazeli, Maryam Salehi, Majid Erfanian, AmirAli Moodi Ghalibaf, Alireza Khooei and Arash Akhavan Rezayat and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Evidence-based Complementary and Alternative Medicine.

In The Last Decade

Shabnam Niroumand

27 papers receiving 368 citations

Author Peers

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

Author Last Decade Papers Cites
Shabnam Niroumand 124 81 73 68 54 33 379
Yuji Miyoshi 105 0.8× 96 1.2× 68 0.9× 49 0.7× 77 1.4× 37 444
Tomoya Myojin 103 0.8× 81 1.0× 67 0.9× 74 1.1× 44 0.8× 52 408
Rotimi Oluyombo 85 0.7× 67 0.8× 54 0.7× 94 1.4× 87 1.6× 25 437
Esther Yoon 92 0.7× 69 0.9× 31 0.4× 86 1.3× 34 0.6× 24 362
Javier Gorricho 59 0.5× 74 0.9× 87 1.2× 97 1.4× 35 0.6× 29 415
Satyajeet Roy 78 0.6× 67 0.8× 83 1.1× 62 0.9× 30 0.6× 41 427
Jorge Navarro-Pérez 170 1.4× 120 1.5× 71 1.0× 121 1.8× 47 0.9× 28 416
Fabian Puepet 238 1.9× 67 0.8× 45 0.6× 54 0.8× 48 0.9× 19 371
T. Thomsen 97 0.8× 50 0.6× 113 1.5× 89 1.3× 92 1.7× 17 343
Mohamadreza Neishaboury 153 1.2× 107 1.3× 38 0.5× 77 1.1× 73 1.4× 20 389

Countries citing papers authored by Shabnam Niroumand

Since Specialization
Citations

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

Fields of papers citing papers by Shabnam Niroumand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shabnam Niroumand

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