Ashish Agarwal
About
In The Last Decade
Ashish Agarwal
46 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 122
- Computer Networks and Communications 425
- Electrical and Electronic Engineering 283
- Marketing 222
- Sociology and Political Science 197
- Molecular Biology 195
Countries citing papers authored by Ashish Agarwal
This map shows the geographic impact of Ashish Agarwal'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 Ashish Agarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashish Agarwal more than expected).
Fields of papers citing papers by Ashish Agarwal
This network shows the impact of papers produced by Ashish Agarwal. 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 Ashish Agarwal. The network helps show where Ashish Agarwal may publish in the future.
Co-authorship network of co-authors of Ashish Agarwal
This figure shows the co-authorship network connecting the top 25 collaborators of Ashish Agarwal. A scholar is included among the top collaborators of Ashish Agarwal 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 Ashish Agarwal. Ashish Agarwal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | The Shapley Taylor Interaction Index | 3 |
| 6 | Online Content Consumption: Social Endorsements, Observational Learning and Word-of-Mouth | 1 |
| 7 | TensorFlow Eager: A Multi-Stage, Python-Embedded DSL for Machine Learning | 1 |
| 8 | A New Interaction Index inspired by the Taylor Series | 1 |
| 9 | Cosearch attention and stock return predictability in supply chains | 0 |
| 10 | 13 | |
| 11 | 39 | |
| 12 | 48 | |
| 13 | 13 | |
| 14 | 16 | |
| 15 | Online Retailer vs. Click and Mortar Retailer: Who Performs Better? | 1 |
| 16 | Sponsored Search: Do Organic Results help or hurt the Performance and under what conditions? | 7 |
| 17 | 2 | |
| 18 | 51 | |
| 19 | 83 | |
| 20 | 7 |
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.