Sima Siami‐Namini

3.3k total citations · 2 hit papers
34 papers, 1.9k citations indexed

About

Sima Siami‐Namini is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance and Signal Processing. According to data from OpenAlex, Sima Siami‐Namini has authored 34 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Economics and Econometrics, 12 papers in General Economics, Econometrics and Finance and 6 papers in Signal Processing. Recurrent topics in Sima Siami‐Namini's work include Monetary Policy and Economic Impact (11 papers), Market Dynamics and Volatility (10 papers) and Energy, Environment, Economic Growth (8 papers). Sima Siami‐Namini is often cited by papers focused on Monetary Policy and Economic Impact (11 papers), Market Dynamics and Volatility (10 papers) and Energy, Environment, Economic Growth (8 papers). Sima Siami‐Namini collaborates with scholars based in United States, Hungary and Netherlands. Sima Siami‐Namini's co-authors include Akbar Siami Namin, Neda Tavakoli, Darren Hudson, Conrad P. Lyford, A. Alexandre Trindade, Xiaozhen Xue, Keith S. Jones, Raymond Flores and Alexandre Trindade and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Applied Artificial Intelligence.

In The Last Decade

Sima Siami‐Namini

32 papers receiving 1.8k citations

Hit Papers

The Performance of LSTM and BiLSTM in Forecasting Time Se... 2018 2026 2020 2023 2019 2018 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sima Siami‐Namini United States 10 476 423 382 263 244 34 1.9k
Neda Tavakoli United States 8 472 1.0× 474 1.1× 376 1.0× 129 0.5× 227 0.9× 21 1.9k
Benjamin Letham United States 11 338 0.7× 713 1.7× 431 1.1× 142 0.5× 253 1.0× 24 2.1k
Seçkin Karasu Türkiye 14 747 1.6× 561 1.3× 483 1.3× 327 1.2× 85 0.3× 21 2.3k
Ioannis E. Livieris Greece 22 256 0.5× 680 1.6× 500 1.3× 283 1.1× 200 0.8× 76 2.0k
Isaac Kofi Nti Ghana 18 478 1.0× 316 0.7× 559 1.5× 198 0.8× 105 0.4× 66 1.7k
Ahmet Murat Özbayoğlu Türkiye 22 533 1.1× 345 0.8× 422 1.1× 169 0.6× 137 0.6× 106 2.4k
Lijuan Cao China 12 481 1.0× 663 1.6× 906 2.4× 338 1.3× 212 0.9× 25 1.9k
Jingyang Wang China 17 413 0.9× 212 0.5× 499 1.3× 172 0.7× 123 0.5× 89 1.7k
Sven F. Crone United Kingdom 21 470 1.0× 649 1.5× 892 2.3× 191 0.7× 219 0.9× 62 1.9k
Muhammad Hisyam Lee Malaysia 28 806 1.7× 557 1.3× 576 1.5× 139 0.5× 111 0.5× 153 3.5k

Countries citing papers authored by Sima Siami‐Namini

Since Specialization
Citations

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

Fields of papers citing papers by Sima Siami‐Namini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sima Siami‐Namini. 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 Sima Siami‐Namini. The network helps show where Sima Siami‐Namini may publish in the future.

Co-authorship network of co-authors of Sima Siami‐Namini

This figure shows the co-authorship network connecting the top 25 collaborators of Sima Siami‐Namini. A scholar is included among the top collaborators of Sima Siami‐Namini 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 Sima Siami‐Namini. Sima Siami‐Namini 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.
Siami‐Namini, Sima, et al.. (2024). The Accuracy of Domain Specific and Descriptive Analysis Generated by Large Language Models. 30. 1739–1746. 1 indexed citations
2.
Siami‐Namini, Sima, et al.. (2024). A Comparative Multivariate Analysis of VAR and Deep Learning-Based Models for Forecasting Volatile Time Series Data. IEEE Access. 12. 155423–155436. 1 indexed citations
3.
Siami‐Namini, Sima. (2022). Quantitative Easing Policy and Income Inequality in the U.S. Economy: Evidence from a FAVAR Model. Journal of Quantitative Economics. 20(4). 759–779. 1 indexed citations
4.
Tavakoli, Neda, et al.. (2022). Similarity analysis of federal reserve statements using document embeddings: the Great Recession vs. COVID-19. SN Business & Economics. 2(7). 70–70.
5.
Siami‐Namini, Sima. (2021). U.S. Monetary Policy and Commodity Prices: A SVECM Approach. Economic Papers A journal of applied economics and policy. 40(4). 288–312. 3 indexed citations
6.
Siami‐Namini, Sima, et al.. (2021). A Comparison of TCN and LSTM Models in Detecting Anomalies in Time Series Data. 2021 IEEE International Conference on Big Data (Big Data). 2415–2420. 34 indexed citations
7.
Siami‐Namini, Sima, Conrad P. Lyford, & A. Alexandre Trindade. (2020). The Effects of Monetary Policy Shocks on Income Inequality Across U.S. States. Economic Papers A journal of applied economics and policy. 39(3). 204–221. 6 indexed citations
8.
Tavakoli, Neda, et al.. (2020). An autoencoder-based deep learning approach for clustering time series data. SN Applied Sciences. 2(5). 40 indexed citations
9.
Siami‐Namini, Sima, Neda Tavakoli, & Akbar Siami Namin. (2019). The Performance of LSTM and BiLSTM in Forecasting Time Series. 3285–3292. 889 indexed citations breakdown →
10.
Siami‐Namini, Sima & Darren Hudson. (2019). The impacts of sector growth and monetary policy on income inequality in developing countries. Journal of Economic Studies. 46(3). 591–610. 13 indexed citations
11.
Siami‐Namini, Sima. (2019). Agriculture and Non-Agriculture Growth, Inflation and Income Inequality in Developed and Developing Countries. International Journal of Economics and Finance. 11(11). 43–43. 4 indexed citations
12.
Siami‐Namini, Sima, et al.. (2018). Commodity price volatility and U.S. monetary policy: Commodity price overshooting revisited. Agribusiness. 35(2). 200–218. 12 indexed citations
13.
Siami‐Namini, Sima, et al.. (2018). Continuous Authentications Using Frequent English Terms. Applied Artificial Intelligence. 32(1). 13–47. 2 indexed citations
14.
Siami‐Namini, Sima, et al.. (2018). The Short and Long Run Effects of Selected Variables on Tax Revenue - A Case Study. Applied Economics and Finance. 5(5). 23–23. 6 indexed citations
15.
Siami‐Namini, Sima. (2017). China's Economy and the Global Financial Crisis. SHILAP Revista de lepidopterología. 2 indexed citations
16.
Siami‐Namini, Sima. (2017). Reverse Privatization and New Government Reforms: A Review of Theory and Evidence. SSRN Electronic Journal. 3 indexed citations
17.
Siami‐Namini, Sima. (2017). Granger Causality Between Gross Domestic Product and Economic Sectors in Developing Countries: A Panel Co-integration Approach. SHILAP Revista de lepidopterología. 7 indexed citations
18.
Siami‐Namini, Sima. (2017). Granger Causality Between Exchange Rate and Stock Price: A Toda Yamamoto Approach. SHILAP Revista de lepidopterología. 10 indexed citations
19.
Siami‐Namini, Sima, Darren Hudson, & Alexandre Trindade. (2017). Commodity Price Volatility and U.S. Monetary Policy: Commodity Price Overshooting Revisited. SSRN Electronic Journal.
20.
Siami‐Namini, Sima, et al.. (2004). Estimation of Non-Accelerating Inflation Rate of Unemployment (NAIRU) and Potential Output. 9(3). 67–94. 1 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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