Anupama Jha
About
In The Last Decade
Anupama Jha
17 papers receiving 548 citations
Peers
Comparison fields: 5 of 92
- Molecular Biology 305
- Plant Science 274
- Cancer Research 42
- Artificial Intelligence 28
- Genetics 19
Countries citing papers authored by Anupama Jha
This map shows the geographic impact of Anupama Jha'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 Anupama Jha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anupama Jha more than expected).
Fields of papers citing papers by Anupama Jha
This network shows the impact of papers produced by Anupama Jha. 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 Anupama Jha. The network helps show where Anupama Jha may publish in the future.
Co-authorship network of co-authors of Anupama Jha
This figure shows the co-authorship network connecting the top 25 collaborators of Anupama Jha. A scholar is included among the top collaborators of Anupama Jha 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 Anupama Jha. Anupama Jha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 15 | |
| 4 | 0 | |
| 5 | 38 | |
| 6 | 22 | |
| 7 | 9 | |
| 8 | 17 | |
| 9 | 20 | |
| 10 | 45 | |
| 11 | 14 | |
| 12 | 54 | |
| 13 | 38 | |
| 14 | 5 | |
| 15 | Quantitative Analysis and Interpretation of Big Data Variables in Crime Using R | 2 |
| 16 | 77 | |
| 17 | 9 | |
| 18 | An Optimizing Compiler for Turing Machine Description Language | 1 |
| 19 | 145 | |
| 20 | 47 |
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.