Aman Ullah

8.1k total citations · 3 hit papers
98 papers, 5.1k citations indexed

About

Aman Ullah is a scholar working on Statistics and Probability, Finance and General Economics, Econometrics and Finance. According to data from OpenAlex, Aman Ullah has authored 98 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Statistics and Probability, 35 papers in Finance and 30 papers in General Economics, Econometrics and Finance. Recurrent topics in Aman Ullah's work include Statistical Methods and Inference (39 papers), Advanced Statistical Methods and Models (31 papers) and Financial Risk and Volatility Modeling (31 papers). Aman Ullah is often cited by papers focused on Statistical Methods and Inference (39 papers), Advanced Statistical Methods and Models (31 papers) and Financial Risk and Volatility Modeling (31 papers). Aman Ullah collaborates with scholars based in United States, Canada and China. Aman Ullah's co-authors include Adrian Pagan, M. Hashem Pesaran, Takashi Yamagata, Liangjun Su, Raveendra N. Batra, Yong Bao, Yanqin Fan, V. K. Srivastava, Paul Rilstone and Ronald A. Ratti and has published in prestigious journals such as PLoS ONE, Econometrica and Journal of Political Economy.

In The Last Decade

Aman Ullah

92 papers receiving 4.7k citations

Hit Papers

A bias-adjusted LM test of error cross-section independence 1999 2026 2008 2017 2008 1999 1999 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aman Ullah United States 25 3.3k 1.2k 1.0k 977 538 98 5.1k
P. A. V. B. Swamy United States 27 2.6k 0.8× 1.5k 1.2× 797 0.8× 545 0.6× 433 0.8× 126 4.1k
James B. Ramsey United States 27 3.2k 1.0× 1.5k 1.2× 1.3k 1.2× 570 0.6× 495 0.9× 82 5.4k
George Kapetanios United Kingdom 34 4.5k 1.4× 3.3k 2.7× 1.9k 1.8× 370 0.4× 582 1.1× 220 5.8k
Thanasis Stengos Canada 33 3.8k 1.1× 834 0.7× 653 0.6× 187 0.2× 336 0.6× 197 5.0k
Graham Elliott United States 26 5.1k 1.6× 4.2k 3.4× 2.4k 2.3× 493 0.5× 643 1.2× 55 7.0k
Thomas J. Rothenberg United States 12 3.9k 1.2× 2.8k 2.2× 1.4k 1.4× 585 0.6× 290 0.5× 21 5.6k
Edward W. Frees United States 30 2.0k 0.6× 304 0.2× 1.0k 1.0× 1.2k 1.2× 1.1k 2.0× 91 4.4k
Timothy J. Vogelsang United States 29 2.9k 0.9× 2.3k 1.9× 1.5k 1.5× 812 0.8× 246 0.5× 67 4.4k
Pentti Saikkonen Finland 33 3.5k 1.1× 2.9k 2.4× 1.9k 1.9× 530 0.5× 221 0.4× 94 4.7k
Lung‐fei Lee United States 35 4.5k 1.4× 656 0.5× 379 0.4× 422 0.4× 893 1.7× 127 5.9k

Countries citing papers authored by Aman Ullah

Since Specialization
Citations

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

Fields of papers citing papers by Aman Ullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aman Ullah

This figure shows the co-authorship network connecting the top 25 collaborators of Aman Ullah. A scholar is included among the top collaborators of Aman Ullah 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 Aman Ullah. Aman Ullah 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.
Ullah, Aman, et al.. (2025). A predictive machine learning model for cannabinoid effect based on image detection of reactive oxygen species in microglia. PLoS ONE. 20(3). e0320219–e0320219. 1 indexed citations
2.
Ullah, Aman, et al.. (2025). Semiparametric modal regression with varying coefficients and measurement error. Journal of Statistical Planning and Inference. 240. 106307–106307.
3.
Sun, Yuying, et al.. (2024). Nonparametric estimation and forecasting of interval-valued time series regression models with constraints. Expert Systems with Applications. 249. 123385–123385. 3 indexed citations
4.
Zhang, Qingyu, et al.. (2024). Synergistic Impact of Internet of Things and Big-Data-Driven Supply Chain on Sustainable Firm Performance. Sustainability. 16(13). 5717–5717. 3 indexed citations
5.
Ullah, Aman, et al.. (2024). Application of Finite Element Method to Problems with Mixed Boundary Conditions. 44(2). 47–64. 1 indexed citations
6.
Lee, Tae‐Hwy, et al.. (2022). Forecasting Under Structural Breaks Using Improved Weighted Estimation. Oxford Bulletin of Economics and Statistics. 84(6). 1485–1501.
7.
Lee, Yoonseok, Debasri Mukherjee, & Aman Ullah. (2018). Nonparametric estimation of the marginal effect in fixed-effect panel data models. Journal of Multivariate Analysis. 171. 53–67. 9 indexed citations
8.
Bao, Yong & Aman Ullah. (2010). Expectation of Quadratic Forms in Normal and Nonnormal Variables with Applications. SSRN Electronic Journal. 2 indexed citations
9.
Bao, Yong & Aman Ullah. (2009). HIGHER-ORDER BIAS AND MSE OF NONLINEAR ESTIMATORS. SSRN Electronic Journal. 3 indexed citations
10.
Su, Liangjun & Aman Ullah. (2008). NONPARAMETRIC PREWHITENING ESTIMATORS FOR CONDITIONAL QUANTILES. Statistica Sinica. 18(3). 1131. 7 indexed citations
11.
Bao, Yong & Aman Ullah. (2007). Finite Sample Moments of Maximum Likelihood Estimator in Spatial Models. SSRN Electronic Journal. 6 indexed citations
12.
Bao, Yong & Aman Ullah. (2007). The Second-Order Bias and Mean Squared Error of Estimators in Time Series Models. SSRN Electronic Journal. 3 indexed citations
13.
Ullah, Aman, et al.. (2007). Asymptotic distribution of the OLS estimator for a purely autoregressive spatial model. Journal of Multivariate Analysis. 99(2). 245–277. 6 indexed citations
14.
Khanna, Madhu, Kusum Mundra, & Aman Ullah. (2005). Parametric and Semi-Parametric Estimation of the Effect of Firm Attributes on Efficiency: Electricity Generating Industry in India. SSRN Electronic Journal.
15.
Mahmud, Syed F., et al.. (2004). Testing Marshall-Lerner condition: a non-parametric approach. Applied Economics Letters. 11(4). 231–236. 24 indexed citations
16.
Li, Qi, Xuewen Lu, & Aman Ullah. (2003). Multivariate local polynomial regression for estimating average derivatives. Journal of nonparametric statistics. 15(4-5). 607–624. 25 indexed citations
17.
Khanna, Madhu, Kusum Mundra, & Aman Ullah. (1999). Parametric and semi-parametric estimation of the effect of firm attributes on efficiency: the electricity generating industry in India. Journal of International Trade & Economic Development. 8(4). 419–430. 15 indexed citations
18.
Fan, Yanqin & Aman Ullah. (1999). On goodness-of-fit tests for weakly dependent processes using kernel method. Journal of nonparametric statistics. 11(1-3). 337–360. 80 indexed citations
19.
Ullah, Aman, et al.. (1986). Nonparametric recursive estimation of a multivariate, marginal and conditional dgp with an application to specification of econometric models. Communication in Statistics- Theory and Methods. 15(12). 3489–3513. 3 indexed citations
20.
Ullah, Aman, et al.. (1981). A FAMILY OF IMPROVED SHRINKAGE FACTORS FOR THE ORDINARY RIDGE ESTIMATOR. The economic studies quarterly/Economic studies quarterly/Kikan riron keizaigaku. 32(2). 164–175. 10 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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