Nina Mishra
About
In The Last Decade
Nina Mishra
36 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 115
- Artificial Intelligence 839
- Computer Networks and Communications 233
- Information Systems 188
- Sociology and Political Science 164
- Signal Processing 147
Countries citing papers authored by Nina Mishra
This map shows the geographic impact of Nina Mishra'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 Nina Mishra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nina Mishra more than expected).
Fields of papers citing papers by Nina Mishra
This network shows the impact of papers produced by Nina Mishra. 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 Nina Mishra. The network helps show where Nina Mishra may publish in the future.
Co-authorship network of co-authors of Nina Mishra
This figure shows the co-authorship network connecting the top 25 collaborators of Nina Mishra. A scholar is included among the top collaborators of Nina Mishra 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 Nina Mishra. Nina Mishra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Semi-Supervised Learning on Data Streams via Temporal Label Propagation | 22 |
| 2 | 7 | |
| 3 | 2 | |
| 4 | 15 | |
| 5 | Predicting Consumer Behavior in Commerce Search. | 4 |
| 6 | 38 | |
| 7 | 3 | |
| 8 | 28 | |
| 9 | 44 | |
| 10 | 44 | |
| 11 | 81 | |
| 12 | Enabling Privacy for the Paranoids | 6 |
| 13 | 8 | |
| 14 | 1 | |
| 15 | Proceedings, Twentieth International Conference on Machine Learning | 233 |
| 16 | 60 | |
| 17 | 34 | |
| 18 | Version spaces without boundary sets | 17 |
| 19 | 9 | |
| 20 | 25 |
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.