Peyman Hadji
About
In The Last Decade
Peyman Hadji
107 papers receiving 2.9k 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 | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Peyman Hadji Germany | 32 | 2.0k | 1.4k | 748 | 619 | 321 | 120 | 3.0k | ||
| George Wells Canada | 25 | 1.9k 1.0× | 1.1k 0.8× | 717 1.0× | 776 1.3× | 551 1.7× | 37 | 3.5k | ||
| Astrid Fahrleitner‐Pammer Austria | 35 | 2.8k 1.4× | 2.1k 1.5× | 1.6k 2.2× | 853 1.4× | 320 1.0× | 105 | 4.3k | ||
| H.A.P. Pols Netherlands | 20 | 2.0k 1.0× | 810 0.6× | 799 1.1× | 889 1.4× | 426 1.3× | 39 | 3.4k | ||
| Marjorie M. Luckey United States | 25 | 2.6k 1.3× | 1.2k 0.9× | 846 1.1× | 1.1k 1.7× | 619 1.9× | 31 | 3.5k | ||
| Sophie A. Jamal Canada | 37 | 2.9k 1.5× | 1.6k 1.2× | 905 1.2× | 1.0k 1.7× | 705 2.2× | 76 | 5.5k | ||
| Angelo A. Licata United States | 26 | 2.1k 1.0× | 1.6k 1.1× | 918 1.2× | 701 1.1× | 392 1.2× | 72 | 3.4k | ||
| C. H. Chesnut United States | 21 | 1.9k 0.9× | 991 0.7× | 681 0.9× | 514 0.8× | 373 1.2× | 40 | 2.6k | ||
| L. Sinigaglia Italy | 33 | 1.5k 0.7× | 778 0.6× | 566 0.8× | 499 0.8× | 669 2.1× | 99 | 3.6k | ||
| Francisco Bandeira Brazil | 28 | 1.0k 0.5× | 987 0.7× | 458 0.6× | 627 1.0× | 946 2.9× | 125 | 3.1k | ||
| Anne E. de Papp United States | 22 | 1.9k 0.9× | 1.2k 0.8× | 770 1.0× | 353 0.6× | 1.0k 3.1× | 36 | 2.9k |
Countries citing papers authored by Peyman Hadji
This map shows the geographic impact of Peyman Hadji'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 Peyman Hadji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peyman Hadji more than expected).
Fields of papers citing papers by Peyman Hadji
This network shows the impact of papers produced by Peyman Hadji. 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 Peyman Hadji. The network helps show where Peyman Hadji may publish in the future.
Co-authorship network of co-authors of Peyman Hadji
This figure shows the co-authorship network connecting the top 25 collaborators of Peyman Hadji. A scholar is included among the top collaborators of Peyman Hadji 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 Peyman Hadji. Peyman Hadji 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.