Naval Garg
About
In The Last Decade
Naval Garg
82 papers receiving 1.1k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Naval Garg India | 18 | 461 | 446 | 374 | 279 | 243 | 89 | 1.2k | ||
| Rabindra Kumar Pradhan India | 18 | 898 1.9× | 276 0.6× | 445 1.2× | 80 0.3× | 178 0.7× | 68 | 1.6k | ||
| Inam Ul Haq Pakistan | 24 | 1.0k 2.2× | 346 0.8× | 467 1.2× | 76 0.3× | 198 0.8× | 84 | 1.6k | ||
| Margaret C. McKee Canada | 5 | 715 1.6× | 302 0.7× | 361 1.0× | 86 0.3× | 130 0.5× | 7 | 1.0k | ||
| Weipeng Lin China | 18 | 904 2.0× | 189 0.4× | 490 1.3× | 45 0.2× | 220 0.9× | 31 | 1.4k | ||
| Mickey B. Smith United States | 13 | 589 1.3× | 141 0.3× | 529 1.4× | 50 0.2× | 355 1.5× | 17 | 1.2k | ||
| Ulrike Fasbender Germany | 19 | 574 1.2× | 458 1.0× | 233 0.6× | 27 0.1× | 82 0.3× | 45 | 1.2k | ||
| Saima Naseer Pakistan | 18 | 788 1.7× | 225 0.5× | 359 1.0× | 34 0.1× | 154 0.6× | 44 | 1.1k | ||
| Eva Selenko United Kingdom | 16 | 375 0.8× | 147 0.3× | 229 0.6× | 77 0.3× | 82 0.3× | 36 | 976 | ||
| Tim Vantilborgh Belgium | 20 | 654 1.4× | 168 0.4× | 292 0.8× | 57 0.2× | 104 0.4× | 49 | 1.2k | ||
| Kathy A. Hanisch United States | 14 | 640 1.4× | 263 0.6× | 404 1.1× | 80 0.3× | 105 0.4× | 22 | 1.4k |
Countries citing papers authored by Naval Garg
This map shows the geographic impact of Naval Garg'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 Naval Garg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naval Garg more than expected).
Fields of papers citing papers by Naval Garg
This network shows the impact of papers produced by Naval Garg. 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 Naval Garg. The network helps show where Naval Garg may publish in the future.
Co-authorship network of co-authors of Naval Garg
This figure shows the co-authorship network connecting the top 25 collaborators of Naval Garg. A scholar is included among the top collaborators of Naval Garg 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 Naval Garg. Naval Garg 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.