Neda Tavakoli

3.2k total citations · 3 hit papers
21 papers, 1.9k citations indexed

About

Neda Tavakoli is a scholar working on Artificial Intelligence, Management Science and Operations Research and Molecular Biology. According to data from OpenAlex, Neda Tavakoli has authored 21 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Management Science and Operations Research and 3 papers in Molecular Biology. Recurrent topics in Neda Tavakoli's work include Stock Market Forecasting Methods (4 papers), Advanced Manufacturing and Logistics Optimization (3 papers) and Assembly Line Balancing Optimization (3 papers). Neda Tavakoli is often cited by papers focused on Stock Market Forecasting Methods (4 papers), Advanced Manufacturing and Logistics Optimization (3 papers) and Assembly Line Balancing Optimization (3 papers). Neda Tavakoli collaborates with scholars based in United States, Iran and India. Neda Tavakoli's co-authors include Akbar Siami Namin, Sima Siami‐Namini, Amir Ali Rahsepar, Arash Bedayat, Cameron Hassani, Grace Hyun J. Kim, Fereidoun Abtin, Dong Dai, Yong Chen and Parviz Fattahi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Radiology.

In The Last Decade

Neda Tavakoli

18 papers receiving 1.8k citations

Hit Papers

The Performance of LSTM a... 2018 2026 2020 2023 2019 2018 2023 250 500 750
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. The Performance of LSTM and BiLSTM in Forecasting Time Series
    2019 889 citations Sima Siami‐Namini, Neda Tavakoli et al. profile →
  2. A Comparison of ARIMA and LSTM in Forecasting Time Series
    2018 703 citations Sima Siami‐Namini, Neda Tavakoli et al. profile →
  3. How AI Responds to Common Lung Cancer Questions: ChatGPT versus Google Bard
    2023 196 citations Amir Ali Rahsepar, Neda Tavakoli et al. Radiology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Neda Tavakoli United States 8 474 472 376 227 193 21 1.9k
Benjamin Letham United States 11 713 1.5× 338 0.7× 431 1.1× 253 1.1× 166 0.9× 24 2.1k
José Luis Rojo‐Álvarez Spain 29 587 1.2× 465 1.0× 106 0.3× 352 1.6× 91 0.5× 245 3.6k
Sharnil Pandya India 28 1.0k 2.1× 262 0.6× 158 0.4× 279 1.2× 115 0.6× 61 2.8k
Seçkin Karasu Türkiye 14 561 1.2× 747 1.6× 483 1.3× 85 0.4× 136 0.7× 21 2.3k
Ioannis E. Livieris Greece 22 680 1.4× 256 0.5× 500 1.3× 200 0.9× 113 0.6× 76 2.0k
Nachaat Mohamed India 14 654 1.4× 444 0.9× 81 0.2× 215 0.9× 158 0.8× 49 2.4k
H. S. Behera India 28 1.1k 2.3× 483 1.0× 488 1.3× 230 1.0× 76 0.4× 114 2.7k
Zachary C. Lipton United States 20 1.4k 3.0× 269 0.6× 139 0.4× 332 1.5× 101 0.5× 62 2.8k
Mamta Mittal India 28 1.0k 2.1× 199 0.4× 115 0.3× 155 0.7× 184 1.0× 109 3.2k
Sanjay Purushotham United States 16 1.3k 2.7× 135 0.3× 135 0.4× 459 2.0× 104 0.5× 50 2.4k

Countries citing papers authored by Neda Tavakoli

Since Specialization
Citations

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

Fields of papers citing papers by Neda Tavakoli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neda Tavakoli

This figure shows the co-authorship network connecting the top 25 collaborators of Neda Tavakoli. A scholar is included among the top collaborators of Neda Tavakoli 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 Neda Tavakoli. Neda Tavakoli 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.
Tavakoli, Neda, Amir Ali Rahsepar, Brandon Benefield, et al.. (2025). ScarNet: a novel foundation model for automated myocardial scar quantification from late gadolinium-enhancement images. Journal of Cardiovascular Magnetic Resonance. 27(2). 101945–101945. 1 indexed citations
2.
Tavakoli, Neda, Zahra Shakeri Hossein Abad, Arash Bedayat, et al.. (2025). Generative AI and Foundation Models in Radiology: Applications, Opportunities, and Potential Challenges. Radiology. 317(2). e242961–e242961.
3.
Tavakoli, Neda, et al.. (2024). GraphSlimmer: Preserving Read Mappability with the Minimum Number of Variants. Journal of Computational Biology. 31(7). 616–637. 1 indexed citations
4.
Hui, Bo, Yunpeng Dong, Shengsi Sun, et al.. (2024). Late Mesoproterozoic passive continental margin in the northwestern Yangtze Block, South China: Insights from the Huodiya Group in the Hannan‐Micangshan Massif. Geological Journal. 60(2). 272–289. 1 indexed citations
5.
Rahsepar, Amir Ali, Neda Tavakoli, Grace Hyun J. Kim, et al.. (2023). How AI Responds to Common Lung Cancer Questions: ChatGPT versus Google Bard. Radiology. 307(5). e230922–e230922. 196 indexed citations breakdown →
6.
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.
7.
Tavakoli, Neda, et al.. (2022). Haplotype-aware variant selection for genome graphs. 1–9. 1 indexed citations
8.
Jain, Chirag, Neda Tavakoli, & Srinivas Aluru. (2021). A variant selection framework for genome graphs. Bioinformatics. 37(Supplement_1). i460–i467. 6 indexed citations
9.
Flores, Raymond, Akbar Siami Namin, Neda Tavakoli, Sima Siami‐Namini, & Keith S. Jones. (2021). Using experiential learning to teach and learn digital forensics: Educator and student perspectives. SHILAP Revista de lepidopterología. 2. 100045–100045. 4 indexed citations
10.
Tavakoli, Neda, et al.. (2020). An autoencoder-based deep learning approach for clustering time series data. SN Applied Sciences. 2(5). 40 indexed citations
11.
12.
Siami‐Namini, Sima, et al.. (2020). A Concern Analysis of Federal Reserve Statements: The Great Recession vs. The COVID-19 Pandemic. 2079–2086. 1 indexed citations
13.
Tavakoli, Neda. (2019). Modeling Genome Data Using Bidirectional LSTM. 183–188. 26 indexed citations
14.
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 →
15.
Siami‐Namini, Sima, Neda Tavakoli, & Akbar Siami Namin. (2018). A Comparison of ARIMA and LSTM in Forecasting Time Series. 1394–1401. 703 indexed citations breakdown →
16.
Tavakoli, Neda, Dong Dai, & Yong Chen. (2018). Client-side straggler-aware I/O scheduler for object-based parallel file systems. Parallel Computing. 82. 3–18. 7 indexed citations
17.
Tavakoli, Neda, Dong Dai, & Yong Chen. (2016). Log-Assisted Straggler-Aware I/O Scheduler for High-End Computing. 181–189. 9 indexed citations
18.
Tavakoli, Neda & Parviz Fattahi. (2011). Sequencing Mixed-Model Assembly Line under a JIT-Approach. Applied Mechanics and Materials. 110-116. 4324–4329. 1 indexed citations
19.
Fattahi, Parviz, et al.. (2011). Sequencing mixed-model assembly lines by considering feeding lines. The International Journal of Advanced Manufacturing Technology. 61(5-8). 677–690. 14 indexed citations
20.
Fattahi, Parviz, et al.. (2010). A hybrid algorithm to solve the problem of re-entrant manufacturing system scheduling. CIRP journal of manufacturing science and technology. 3(4). 268–278. 4 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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