Neda Tavakoli
- Artificial Intelligence top 2%
- Electrical and Electronic Engineering top 10%
- Management Science and Operations Research top 2%
- Signal Processing top 5%
- Environmental Engineering top 5%
- Co-authors
- Sima Siami‐NaminiAkbar Siami NaminArash BedayatFereidoun AbtinCameron HassaniAmir Ali RahseparGrace Hyun J. KimDong Dai
- Topics
- Stock Market Forecasting Methods (4 papers)Advanced Manufacturing and Logistics Optimization (3 papers)Assembly Line Balancing Optimization (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsRadiology
- Partner nations
- United StatesIranIndia
In The Last Decade
Neda Tavakoli
18 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Artificial Intelligence 474
- Electrical and Electronic Engineering 472
- Management Science and Operations Research 376
- Signal Processing 227
- Environmental Engineering 193
Countries citing papers authored by Neda Tavakoli
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | How AI Responds to Common Lung Cancer Questions: ChatGPT versus Google Bardbreakdown → | 196 |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 4 | |
| 10 | 40 | |
| 11 | 0 | |
| 12 | 1 | |
| 13 | 26 | |
| 14 | The Performance of LSTM and BiLSTM in Forecasting Time Seriesbreakdown → | 889 |
| 15 | A Comparison of ARIMA and LSTM in Forecasting Time Seriesbreakdown → | 703 |
| 16 | 7 | |
| 17 | 9 | |
| 18 | 1 | |
| 19 | 14 | |
| 20 | 4 |
About Neda Tavakoli
Neda Tavakoli is a scholar working on Health Informatics, Management Science and Operations Research and Industrial and Manufacturing Engineering, having authored 21 papers that have together received 1.9k indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (4 papers), Advanced Manufacturing and Logistics Optimization (3 papers) and Assembly Line Balancing Optimization (3 papers). The work is most often cited by research in Health Informatics (171 citations), Management Science and Operations Research (376 citations) and Signal Processing (227 citations). Neda Tavakoli has collaborated with scholars based in United States, Iran and India. Frequent co-authors include Sima Siami‐Namini, Akbar Siami Namin, Arash Bedayat, Fereidoun Abtin, Cameron Hassani, Amir Ali Rahsepar, Grace Hyun J. Kim, Dong Dai, Yong Chen and Parviz Fattahi. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and Radiology.
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.