Muhammad Yar
About
In The Last Decade
Muhammad Yar
174 papers receiving 4.9k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Muhammad Yar Pakistan | 41 | 1.5k | 1.4k | 1.1k | 841 | 693 | 181 | 5.0k | ||
| Won Seok Lyoo South Korea | 34 | 1.3k 0.9× | 2.0k 1.4× | 1.2k 1.1× | 714 0.8× | 209 0.3× | 218 | 5.0k | ||
| Marcel Popa Romania | 39 | 859 0.6× | 1.7k 1.2× | 1.1k 1.0× | 977 1.2× | 658 0.9× | 272 | 5.1k | ||
| Gao Li China | 37 | 678 0.5× | 1.9k 1.4× | 1.1k 1.0× | 844 1.0× | 452 0.7× | 163 | 4.4k | ||
| Hermínio C. de Sousa Portugal | 43 | 848 0.6× | 1.5k 1.1× | 2.0k 1.8× | 488 0.6× | 371 0.5× | 138 | 5.8k | ||
| Ting Su China | 34 | 480 0.3× | 1.1k 0.8× | 1.0k 0.9× | 996 1.2× | 604 0.9× | 99 | 3.9k | ||
| Bo Chi China | 32 | 576 0.4× | 1.2k 0.9× | 877 0.8× | 465 0.6× | 761 1.1× | 91 | 3.5k | ||
| Mohammad Reza Naimi‐Jamal Iran | 41 | 2.1k 1.4× | 920 0.6× | 1.1k 1.0× | 1.2k 1.4× | 667 1.0× | 206 | 5.3k | ||
| Lin Ye China | 35 | 1.1k 0.7× | 1.2k 0.9× | 705 0.6× | 611 0.7× | 577 0.8× | 212 | 4.1k | ||
| Nevena Manolova Bulgaria | 44 | 1.3k 0.9× | 4.4k 3.1× | 2.1k 1.9× | 666 0.8× | 465 0.7× | 202 | 6.6k | ||
| Dai Hai Nguyen Vietnam | 37 | 527 0.4× | 1.8k 1.3× | 1.4k 1.3× | 1.0k 1.2× | 1.1k 1.6× | 188 | 4.7k |
Countries citing papers authored by Muhammad Yar
This map shows the geographic impact of Muhammad Yar'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 Muhammad Yar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Yar more than expected).
Fields of papers citing papers by Muhammad Yar
This network shows the impact of papers produced by Muhammad Yar. 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 Muhammad Yar. The network helps show where Muhammad Yar may publish in the future.
Co-authorship network of co-authors of Muhammad Yar
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Yar. A scholar is included among the top collaborators of Muhammad Yar 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 Muhammad Yar. Muhammad Yar 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.