Kajal Lahiri
- Economics and Econometrics top 0.5%
- General Economics, Econometrics and Finance top 0.5%
- Finance top 2%
- Management Science and Operations Research top 2%
- General Health Professions top 5%
- Co-authors
- Xuguang Simon ShengYongchen ZhaoPinka ChatterjiPeter SchmidtChristie TeiglandSusmita DasguptaJae SongSouvik Banerjee
- Topics
- Monetary Policy and Economic Impact (80 papers)Market Dynamics and Volatility (33 papers)Forecasting Techniques and Applications (17 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Kajal Lahiri
141 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 127
- Economics and Econometrics 1.5k
- General Economics, Econometrics and Finance 1.2k
- Finance 492
- Management Science and Operations Research 306
- General Health Professions 207
Countries citing papers authored by Kajal Lahiri
This map shows the geographic impact of Kajal Lahiri'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 Kajal Lahiri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kajal Lahiri more than expected).
Fields of papers citing papers by Kajal Lahiri
This network shows the impact of papers produced by Kajal Lahiri. 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 Kajal Lahiri. The network helps show where Kajal Lahiri may publish in the future.
Co-authorship network of co-authors of Kajal Lahiri
This figure shows the co-authorship network connecting the top 25 collaborators of Kajal Lahiri. A scholar is included among the top collaborators of Kajal Lahiri 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 Kajal Lahiri. Kajal Lahiri 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 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 8 | |
| 9 | 4 | |
| 10 | 2 | |
| 11 | 49 | |
| 12 | 3 | |
| 13 | 3 | |
| 14 | When Should We Care About Consumer Sentiment? Evidence From Linear and Markov-Switching Models | 2 |
| 15 | 125 | |
| 16 | 25 | |
| 17 | 8 | |
| 18 | 29 | |
| 19 | Inflationary Expectations: Their Formation and Interest Rate Effects | 70 |
| 20 | Estimation of econometric models with unobservable variables | 2 |
About Kajal Lahiri
Kajal Lahiri is a scholar working on General Economics, Econometrics and Finance, Economics and Econometrics and Finance, having authored 151 papers that have together received 2.2k indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (80 papers), Market Dynamics and Volatility (33 papers) and Forecasting Techniques and Applications (17 papers). The work is most often cited by research in General Economics, Econometrics and Finance (1.2k citations), Economics and Econometrics (1.5k citations) and Finance (492 citations). Kajal Lahiri has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Xuguang Simon Sheng, Yongchen Zhao, Pinka Chatterji, Peter Schmidt, Christie Teigland, Susmita Dasgupta, Jae Song, Souvik Banerjee, Heesoo Joo and Peter J. Montiel. Their work appears in journals such as Journal of the American Statistical Association, American Economic Review and Econometrica.
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.