Samarjit Das

1.9k total citations · 1 hit paper
41 papers, 1.2k citations indexed

About

Samarjit Das is a scholar working on Economics and Econometrics, Computer Vision and Pattern Recognition and General Economics, Econometrics and Finance. According to data from OpenAlex, Samarjit Das has authored 41 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Economics and Econometrics, 8 papers in Computer Vision and Pattern Recognition and 8 papers in General Economics, Econometrics and Finance. Recurrent topics in Samarjit Das's work include Monetary Policy and Economic Impact (7 papers), Speech and Audio Processing (6 papers) and Music and Audio Processing (5 papers). Samarjit Das is often cited by papers focused on Monetary Policy and Economic Impact (7 papers), Speech and Audio Processing (6 papers) and Music and Audio Processing (5 papers). Samarjit Das collaborates with scholars based in India, United States and Singapore. Samarjit Das's co-authors include Jörg Breitung, Juncheng Li, Shuhui Qu, Wei Dai, Florian Metze, Wei Dai, Fernando De la Torre, Jessica K. Hodgins, Kaushik Bhattacharya and Jestin N. Carlson and has published in prestigious journals such as SHILAP Revista de lepidopterología, World Development and BioMed Research International.

In The Last Decade

Samarjit Das

38 papers receiving 1.1k citations

Hit Papers

Panel unit root tests under cross‐sectional dependence 2005 2026 2012 2019 2005 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Panel unit root tests under cross‐sectional dependence
    2005 519 citations Jörg Breitung, Samarjit Das Statistica Neerlandica profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Samarjit Das India 14 620 250 241 122 120 41 1.2k
Yanfei Kang China 12 98 0.2× 24 0.1× 162 0.7× 20 0.2× 21 0.2× 27 818
Alejandro Cervantes Spain 14 100 0.2× 19 0.1× 32 0.1× 29 0.2× 31 0.3× 39 919
Christian Schumacher Germany 15 686 1.1× 668 2.7× 11 0.0× 32 0.3× 233 1.9× 31 1.1k
Xiaobo Zhang China 9 157 0.3× 65 0.3× 14 0.1× 29 0.2× 6 0.1× 17 743
Ulf Schepsmeier Germany 12 264 0.4× 91 0.4× 13 0.1× 16 0.1× 273 2.3× 17 825
Guy Brys Belgium 8 279 0.5× 208 0.8× 20 0.1× 6 0.0× 145 1.2× 10 670
J. Eric Bickel United States 19 170 0.3× 17 0.1× 14 0.1× 38 0.3× 167 1.4× 81 1.1k
Ran Tao United States 13 146 0.2× 207 0.8× 44 0.2× 5 0.0× 5 0.0× 37 773
Rashad Ahmed United States 11 89 0.1× 72 0.3× 12 0.0× 8 0.1× 50 0.4× 34 382
David Beaudoin Canada 8 344 0.6× 97 0.4× 6 0.0× 10 0.1× 407 3.4× 11 1.2k

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-authorship network of co-authors of Samarjit Das

This figure shows the co-authorship network connecting the top 25 collaborators of Samarjit Das. A scholar is included among the top collaborators of Samarjit Das 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 Samarjit Das. Samarjit Das is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Das, Samarjit, et al.. (2021). Synthetic Aperture Acoustic Imaging with Deep Generative Model Based Source Distribution Prior. 1420–1424. 5 indexed citations
3.
Mithun, Niluthpol Chowdhury, et al.. (2017). CMU-UCR-BOSCH @ TRECVID 2017: VIDEO TO TEXT RETRIEVAL.. TRECVID. 2 indexed citations
4.
Dai, Wei, et al.. (2017). Very deep convolutional neural networks for raw waveforms. 421–425. 214 indexed citations
5.
Li, Juncheng, Wei Dai, Florian Metze, Shuhui Qu, & Samarjit Das. (2017). A comparison of Deep Learning methods for environmental sound detection. 126–130. 102 indexed citations
6.
Basak, Gopal K. & Samarjit Das. (2016). Intercept Homogeneity Test for Fixed Effect Models under Cross-sectional Dependence: Some Insights. 6(1). 5 indexed citations
7.
Das, Samarjit, et al.. (2015). Improving egocentric vision of daily activities. Journal of International Crisis and Risk Communication Research. 2562–2566. 3 indexed citations
8.
Biswas, Atanu, et al.. (2015). Coherent forecasting for count time series using Box–Jenkins's AR(p) model. Statistica Neerlandica. 70(2). 123–145. 12 indexed citations
9.
Das, Samarjit & Hemanta K. Baruah. (2014). TOWARDS FINDING A NEW KERNELIZED FUZZY C-MEANS CLUSTERING ALGORITHM. SHILAP Revista de lepidopterología. 1 indexed citations
10.
Das, Samarjit & Hemanta K. Baruah. (2013). A comparison of two fuzzy clustering techniques. Journal of Process Management New Technologies. 1(4). 1–15. 1 indexed citations
11.
Carlson, Jestin N., Samarjit Das, Fernando De la Torre, et al.. (2012). Motion Capture Measures Variability in Laryngoscopic Movement During Endotracheal Intubation. Simulation in Healthcare The Journal of the Society for Simulation in Healthcare. 7(4). 255–260. 24 indexed citations
12.
Das, Samarjit, et al.. (2012). Detecting Parkinsons' symptoms in uncontrolled home environments: A multiple instance learning approach. PubMed. 2012. 3688–3691. 28 indexed citations
13.
Das, Samarjit & Namrata Vaswani. (2010). Particle Filtered Modified Compressive Sensing (PaFiMoCS) for tracking signal sequences. 140. 354–358. 8 indexed citations
14.
Das, Samarjit & Kaushik Bhattacharya. (2007). Price convergence across regions in India. Empirical Economics. 34(2). 299–313. 24 indexed citations
15.
Vaswani, Namrata & Samarjit Das. (2007). Particle Filter with Efficient Importance Sampling and Mode Tracking (PF-EIS-MT) and its Application to Landmark Shape Tracking. Conference record/Conference record - Asilomar Conference on Signals, Systems, & Computers. 81. 720–724. 2 indexed citations
16.
Breitung, Jörg & Samarjit Das. (2005). Panel unit root tests under cross‐sectional dependence. Statistica Neerlandica. 59(4). 414–433. 519 indexed citations breakdown →
17.
Das, Samarjit, et al.. (2004). Panel Unit Root Tests under Cross- sectional Dependence. RePEc: Research Papers in Economics. 1 indexed citations
18.
Chatterjee, Snigdhansu & Samarjit Das. (2003). Parameter Estimation in Conditional Heteroscedastic Models. Communication in Statistics- Theory and Methods. 32(6). 1135–1153. 4 indexed citations
19.
Das, Samarjit, et al.. (2000). Modeling Money Demand in India: Testing Weak, Strong & Super Exogeneity*. Indian Economic Review. 35(1). 1–19. 14 indexed citations
20.
Das, Samarjit & Nityananda Sarkar. (2000). AN ARCH IN THE NONLINEAR MEAN (ARCH-NM) MODEL ⁄. 3 indexed citations

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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