Disha Makhija
- Artificial Intelligence top 10%
- Statistical and Nonlinear Physics top 5%
- Information Systems top 10%
- Computer Networks and Communications
- Sociology and Political Science
- Topics
- Sentiment Analysis and Opinion Mining (1 paper)Machine Learning and Algorithms (1 paper)Spam and Phishing Detection (1 paper)
- Journals
- Proceedings of the VLDB Endowment
- Partner nations
- United StatesGermany
In The Last Decade
Disha Makhija
2 papers receiving 248 citations
Hit Papers
Peers
Comparison fields: 5 of 40
- Artificial Intelligence 162
- Statistical and Nonlinear Physics 126
- Information Systems 90
- Computer Networks and Communications 42
- Sociology and Political Science 39
Countries citing papers authored by Disha Makhija
This map shows the geographic impact of Disha Makhija'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 Disha Makhija with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Disha Makhija more than expected).
Fields of papers citing papers by Disha Makhija
This network shows the impact of papers produced by Disha Makhija. 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 Disha Makhija. The network helps show where Disha Makhija may publish in the future.
Co-authorship network of co-authors of Disha Makhija
This figure shows the co-authorship network connecting the top 25 collaborators of Disha Makhija. A scholar is included among the top collaborators of Disha Makhija 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 Disha Makhija. Disha Makhija is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | REV2breakdown → | 215 |
| 2 | 36 |
About Disha Makhija
Disha Makhija is a scholar working on Artificial Intelligence, Information Systems and Sociology and Political Science, having authored 2 papers that have together received 251 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (1 paper), Machine Learning and Algorithms (1 paper) and Spam and Phishing Detection (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (126 citations), Artificial Intelligence (162 citations) and Information Systems (90 citations). Disha Makhija has collaborated with scholars based in United States and Germany. Frequent co-authors include Christos Faloutsos, V. S. Subrahmanian, Srijan Kumar, Bryan Hooi, Mohit Kumar and Stephan Günnemann. Their work appears in journals such as Proceedings of the VLDB Endowment.
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.