Samarjit Das

1.9k citations
45 papers · 1.3k · 1 hit paper · h-index 15

Impact in

Papers in

Samarjit Das

42 papers receiving 1.3k citations

Samarjit Das's Hit Papers

Panel unit root tests under cross‐sectional dependence 2005 · 550 citations
5500+7+14Years since publication100200300400500

Peers

Samarjit Das
Comparison fields: 5 of 122
  • General Economics, Econometrics and Finance 276
  • Developmental Biology 66
  • Economics and Econometrics 667
  • Signal Processing 266
  • Finance 136
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Pilar Poncela Spain
Xiaobo Zhang China
Christian Schumacher Germany
Yanfei Kang China
Ran Tao United States
Ulf Schepsmeier Germany
David Beaudoin Canada
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Qingli Dong China
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Citations per year

Countries citing papers authored by Samarjit Das

Since Specialization
Citations

This map shows the geographic impact of Samarjit Das'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 Samarjit Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samarjit Das more than expected).

Fields of papers citing papers by Samarjit Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samarjit Das. 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 Samarjit Das. The network helps show where Samarjit Das may publish in the future.

Co-authors

The 25 scholars most cited alongside Samarjit Das, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Samarjit Das Line = papers co-authored together Samarjit Das links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Panel unit root tests under cross‐sectional dependence
Hit paper breakdown →
2005550
2 2017241
3 2017109
4 200768
5 201232
6 201431
7 201228
8 201626
9 200724
10 201622
11
Modeling Money Demand in India: Testing Weak, Strong & Super Exogeneity*
200016
12 201016
13 201514
14 201514
15 200314
16 200913
17 201510
18 201210
19 20108
20 20218

About Samarjit Das

Samarjit Das is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance, Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 45 papers that have together received 1.3k indexed citations. Recurring topics across this work include Fiscal Policy and Economic Growth (7 papers), Monetary Policy and Economic Impact (7 papers), Economic Growth and Productivity (6 papers), Speech and Audio Processing (6 papers), Music and Audio Processing (5 papers), Spatial and Panel Data Analysis (5 papers), Financial Risk and Volatility Modeling (5 papers) and Market Dynamics and Volatility (4 papers). The work is most often cited by research in General Economics, Econometrics and Finance (276 citations), Developmental Biology (66 citations), Economics and Econometrics (667 citations), Signal Processing (266 citations) and Finance (136 citations). Samarjit Das has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Jörg Breitung, Juncheng Li, Shuhui Qu, Wei Dai, Florian Metze, Wei Dai, Jessica K. Hodgins, Fernando De la Torre, Kaushik Bhattacharya and Atanu Biswas. Their work appears in journals such as Empirical Economics, Econometric Theory, Economic Modelling, Journal of Forecasting and BioMed Research International.

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.

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