Madhusmita Dash
About
In The Last Decade
Madhusmita Dash
35 papers receiving 593 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 | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Madhusmita Dash India | 13 | 147 | 126 | 109 | 76 | 64 | 38 | 630 | ||
| Philip Peck Sweden | 15 | 72 0.5× | 78 0.6× | 54 0.5× | 27 0.4× | 43 0.7× | 36 | 716 | ||
| Marta Ferreira Dias Portugal | 15 | 68 0.5× | 57 0.5× | 170 1.6× | 140 1.8× | 80 1.3× | 84 | 770 | ||
| Jan Erik Petersen Denmark | 6 | 199 1.4× | 142 1.1× | 73 0.7× | 77 1.0× | 106 1.7× | 9 | 680 | ||
| Naoya Abe Japan | 15 | 44 0.3× | 57 0.5× | 63 0.6× | 161 2.1× | 65 1.0× | 49 | 794 | ||
| Viktor Sebestyén Hungary | 16 | 86 0.6× | 47 0.4× | 80 0.7× | 63 0.8× | 103 1.6× | 52 | 874 | ||
| Carine Barbier France | 10 | 48 0.3× | 62 0.5× | 145 1.3× | 109 1.4× | 95 1.5× | 16 | 728 | ||
| Lorenzo Di Lucia United Kingdom | 11 | 115 0.8× | 112 0.9× | 52 0.5× | 60 0.8× | 74 1.2× | 22 | 511 | ||
| Alexandra V. Michailidou Greece | 11 | 33 0.2× | 46 0.4× | 142 1.3× | 38 0.5× | 75 1.2× | 27 | 605 | ||
| Christiana Figueres United States | 11 | 163 1.1× | 31 0.2× | 89 0.8× | 37 0.5× | 177 2.8× | 23 | 631 | ||
| Gerry Carrington New Zealand | 10 | 109 0.7× | 113 0.9× | 186 1.7× | 159 2.1× | 61 1.0× | 17 | 843 |
Countries citing papers authored by Madhusmita Dash
This map shows the geographic impact of Madhusmita Dash'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 Madhusmita Dash with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Madhusmita Dash more than expected).
Fields of papers citing papers by Madhusmita Dash
This network shows the impact of papers produced by Madhusmita Dash. 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 Madhusmita Dash. The network helps show where Madhusmita Dash may publish in the future.
Co-authorship network of co-authors of Madhusmita Dash
This figure shows the co-authorship network connecting the top 25 collaborators of Madhusmita Dash. A scholar is included among the top collaborators of Madhusmita Dash 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 Madhusmita Dash. Madhusmita Dash 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.