Marija V. Pergal
About
In The Last Decade
Marija V. Pergal
71 papers receiving 1.0k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Marija V. Pergal Serbia | 18 | 450 | 246 | 222 | 159 | 157 | 73 | 1.0k | ||
| Rani Bushra India | 24 | 234 0.5× | 218 0.9× | 447 2.0× | 313 2.0× | 250 1.6× | 55 | 1.6k | ||
| Muhammad Kaleem Khosa Pakistan | 21 | 217 0.5× | 275 1.1× | 189 0.9× | 141 0.9× | 177 1.1× | 79 | 1.2k | ||
| Mehdi Taghavi Iran | 22 | 350 0.8× | 247 1.0× | 296 1.3× | 188 1.2× | 126 0.8× | 67 | 1.5k | ||
| Jyoti Prasad Saikia India | 16 | 213 0.5× | 83 0.3× | 292 1.3× | 222 1.4× | 215 1.4× | 27 | 797 | ||
| Shrabana Sarkar India | 15 | 193 0.4× | 221 0.9× | 296 1.3× | 160 1.0× | 131 0.8× | 38 | 1.1k | ||
| Md Ashaduzzaman Bangladesh | 14 | 195 0.4× | 140 0.6× | 334 1.5× | 241 1.5× | 208 1.3× | 43 | 1.1k | ||
| Reinaldo Ruggiero Brazil | 20 | 155 0.3× | 240 1.0× | 210 0.9× | 519 3.3× | 234 1.5× | 53 | 1.4k | ||
| Ricardo Manríquez‐González Mexico | 16 | 338 0.8× | 111 0.5× | 158 0.7× | 142 0.9× | 499 3.2× | 49 | 1.1k | ||
| Nguyễn Thúy Chinh Vietnam | 16 | 248 0.6× | 108 0.4× | 252 1.1× | 206 1.3× | 314 2.0× | 126 | 1.2k |
Countries citing papers authored by Marija V. Pergal
This map shows the geographic impact of Marija V. Pergal'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 Marija V. Pergal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marija V. Pergal more than expected).
Fields of papers citing papers by Marija V. Pergal
This network shows the impact of papers produced by Marija V. Pergal. 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 Marija V. Pergal. The network helps show where Marija V. Pergal may publish in the future.
Co-authorship network of co-authors of Marija V. Pergal
This figure shows the co-authorship network connecting the top 25 collaborators of Marija V. Pergal. A scholar is included among the top collaborators of Marija V. Pergal 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 Marija V. Pergal. Marija V. Pergal 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.