Mahadi Bahari
About
In The Last Decade
Mahadi Bahari
52 papers receiving 666 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Mahadi Bahari Malaysia | 13 | 192 | 90 | 89 | 78 | 69 | 57 | 703 | ||
| Waidah Ismail Malaysia | 14 | 171 0.9× | 120 1.3× | 42 0.5× | 39 0.5× | 63 0.9× | 52 | 801 | ||
| Naghmeh Niknejad Malaysia | 9 | 150 0.8× | 59 0.7× | 42 0.5× | 49 0.6× | 57 0.8× | 21 | 551 | ||
| Xiaotong Sun China | 13 | 252 1.3× | 74 0.8× | 216 2.4× | 54 0.7× | 128 1.9× | 51 | 910 | ||
| William P. Wagner United States | 16 | 81 0.4× | 85 0.9× | 107 1.2× | 71 0.9× | 62 0.9× | 52 | 710 | ||
| Yahia Baashar Malaysia | 16 | 191 1.0× | 248 2.8× | 43 0.5× | 116 1.5× | 70 1.0× | 35 | 1.1k | ||
| Mathieu Templier Canada | 8 | 123 0.6× | 46 0.5× | 134 1.5× | 66 0.8× | 194 2.8× | 14 | 766 | ||
| Jannicke Baalsrud Hauge Germany | 15 | 105 0.5× | 85 0.9× | 96 1.1× | 30 0.4× | 148 2.1× | 81 | 902 | ||
| Fozia Anwar Pakistan | 9 | 93 0.5× | 67 0.7× | 39 0.4× | 201 2.6× | 110 1.6× | 27 | 596 | ||
| Friday Joseph Agbo Finland | 15 | 190 1.0× | 117 1.3× | 51 0.6× | 28 0.4× | 45 0.7× | 49 | 861 | ||
| Tahereh Saheb Iran | 15 | 170 0.9× | 125 1.4× | 79 0.9× | 91 1.2× | 142 2.1× | 32 | 729 |
Countries citing papers authored by Mahadi Bahari
This map shows the geographic impact of Mahadi Bahari'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 Mahadi Bahari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mahadi Bahari more than expected).
Fields of papers citing papers by Mahadi Bahari
This network shows the impact of papers produced by Mahadi Bahari. 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 Mahadi Bahari. The network helps show where Mahadi Bahari may publish in the future.
Co-authorship network of co-authors of Mahadi Bahari
This figure shows the co-authorship network connecting the top 25 collaborators of Mahadi Bahari. A scholar is included among the top collaborators of Mahadi Bahari 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 Mahadi Bahari. Mahadi Bahari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
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.