Amit Goyal
About
In The Last Decade
Amit Goyal
99 papers receiving 7.6k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Finance 6.1k
- Economics and Econometrics 3.9k
- Accounting 2.3k
- General Economics, Econometrics and Finance 1.5k
- Management Science and Operations Research 1.2k
Countries citing papers authored by Amit Goyal
This map shows the geographic impact of Amit Goyal'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 Amit Goyal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit Goyal more than expected).
Fields of papers citing papers by Amit Goyal
This network shows the impact of papers produced by Amit Goyal. 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 Amit Goyal. The network helps show where Amit Goyal may publish in the future.
Co-authorship network of co-authors of Amit Goyal
This figure shows the co-authorship network connecting the top 25 collaborators of Amit Goyal. A scholar is included among the top collaborators of Amit Goyal 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 Amit Goyal. Amit Goyal 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 | 14 | |
| 4 | 4 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | The Cross-Sectional Pricing of Corporate Bonds Using Big Data and Machine Learning | 2 |
| 8 | Sketch Algorithms for Estimating Point Queries in NLP | 44 |
| 9 | 94 | |
| 10 | 251 | |
| 11 | Generating Semantic Orientation Lexicon using Large Data and Thesaurus | 5 |
| 12 | Sketching Techniques for Large Scale NLP | 12 |
| 13 | Toward Plot Units: Automatic Affect State Analysis | 8 |
| 14 | Named Entity Recognition for South Asian Languages | 8 |
| 15 | Two approaches for building an unsupervised dependency parser and their other applications | 1 |
| 16 | A Comprehensive Look at The Empirical Performance of Equity Premium Prediction breakdown → | 2606 |
| 17 | 9 | |
| 18 | A Note On 'Predicting Returns With Financial Ratios' | 1 |
| 19 | 132 | |
| 20 | 50 |
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.