Haskell Fain
About
In The Last Decade
Haskell Fain
14 papers receiving 1.1k 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 | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Haskell Fain United States | 6 | 448 | 299 | 241 | 159 | 127 | 19 | 1.3k | ||
| Peter Alexander United Kingdom | 10 | 343 0.8× | 353 1.2× | 233 1.0× | 189 1.2× | 103 0.8× | 44 | 1.9k | ||
| David Hawkins United States | 12 | 539 1.2× | 325 1.1× | 185 0.8× | 191 1.2× | 120 0.9× | 31 | 1.9k | ||
| Gavin Ardley New Zealand | 10 | 434 1.0× | 334 1.1× | 206 0.9× | 243 1.5× | 137 1.1× | 23 | 2.0k | ||
| Pierre Duhem United States | 11 | 856 1.9× | 235 0.8× | 321 1.3× | 165 1.0× | 103 0.8× | 38 | 1.7k | ||
| Harry Ruja United States | 8 | 350 0.8× | 500 1.7× | 267 1.1× | 195 1.2× | 175 1.4× | 23 | 2.4k | ||
| Ludwik Fleck Austria | 8 | 281 0.6× | 544 1.8× | 213 0.9× | 89 0.6× | 75 0.6× | 10 | 2.0k | ||
| Hugh Lehman Canada | 9 | 490 1.1× | 468 1.6× | 193 0.8× | 197 1.2× | 87 0.7× | 33 | 2.2k | ||
| Thaddeus J. Trenn Germany | 7 | 271 0.6× | 467 1.6× | 177 0.7× | 76 0.5× | 60 0.5× | 18 | 1.8k | ||
| Marjorie Grene United States | 22 | 367 0.8× | 539 1.8× | 320 1.3× | 210 1.3× | 51 0.4× | 77 | 2.0k | ||
| Peter Achinstein United States | 20 | 830 1.9× | 172 0.6× | 362 1.5× | 265 1.7× | 172 1.4× | 75 | 1.6k |
Countries citing papers authored by Haskell Fain
This map shows the geographic impact of Haskell Fain'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 Haskell Fain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haskell Fain more than expected).
Fields of papers citing papers by Haskell Fain
This network shows the impact of papers produced by Haskell Fain. 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 Haskell Fain. The network helps show where Haskell Fain may publish in the future.
Co-authorship network of co-authors of Haskell Fain
This figure shows the co-authorship network connecting the top 25 collaborators of Haskell Fain. A scholar is included among the top collaborators of Haskell Fain 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 Haskell Fain. Haskell Fain 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.