Haibo Di
About
In The Last Decade
Haibo Di
35 papers receiving 994 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Haibo Di China | 18 | 714 | 452 | 397 | 349 | 221 | 41 | 1.0k | ||
| Tricia L. Merkley United States | 19 | 805 1.1× | 319 0.7× | 315 0.8× | 511 1.5× | 158 0.7× | 26 | 1.2k | ||
| Johan Stender Belgium | 16 | 1.0k 1.5× | 499 1.1× | 570 1.4× | 631 1.8× | 283 1.3× | 22 | 1.4k | ||
| M. R. Coleman United Kingdom | 10 | 606 0.8× | 384 0.8× | 329 0.8× | 320 0.9× | 219 1.0× | 12 | 867 | ||
| Yelena G. Bodien United States | 25 | 1.3k 1.8× | 351 0.8× | 802 2.0× | 881 2.5× | 244 1.1× | 87 | 1.7k | ||
| Angela Drake United States | 18 | 1.0k 1.4× | 263 0.6× | 462 1.2× | 654 1.9× | 182 0.8× | 27 | 1.4k | ||
| Marie Thonnard Belgium | 15 | 1.1k 1.5× | 777 1.7× | 528 1.3× | 527 1.5× | 332 1.5× | 19 | 1.6k | ||
| Muriëlle Kirsch Belgium | 8 | 435 0.6× | 584 1.3× | 164 0.4× | 204 0.6× | 125 0.6× | 12 | 890 | ||
| Andrew B. Dodd United States | 18 | 440 0.6× | 324 0.7× | 187 0.5× | 330 0.9× | 100 0.5× | 55 | 890 | ||
| T. Susmaras United States | 7 | 685 1.0× | 316 0.7× | 144 0.4× | 539 1.5× | 127 0.6× | 8 | 1.2k | ||
| Willemijn S. van Erp Netherlands | 11 | 606 0.8× | 201 0.4× | 356 0.9× | 367 1.1× | 180 0.8× | 26 | 804 |
Countries citing papers authored by Haibo Di
This map shows the geographic impact of Haibo Di'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 Haibo Di with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haibo Di more than expected).
Fields of papers citing papers by Haibo Di
This network shows the impact of papers produced by Haibo Di. 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 Haibo Di. The network helps show where Haibo Di may publish in the future.
Co-authorship network of co-authors of Haibo Di
This figure shows the co-authorship network connecting the top 25 collaborators of Haibo Di. A scholar is included among the top collaborators of Haibo Di 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 Haibo Di. Haibo Di 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.