Banafsheh Rekabdar

596 total citations
47 papers, 344 citations indexed

About

Banafsheh Rekabdar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Banafsheh Rekabdar has authored 47 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 11 papers in Cognitive Neuroscience. Recurrent topics in Banafsheh Rekabdar's work include Neural dynamics and brain function (9 papers), Advanced Memory and Neural Computing (8 papers) and Topic Modeling (7 papers). Banafsheh Rekabdar is often cited by papers focused on Neural dynamics and brain function (9 papers), Advanced Memory and Neural Computing (8 papers) and Topic Modeling (7 papers). Banafsheh Rekabdar collaborates with scholars based in United States, Greece and China. Banafsheh Rekabdar's co-authors include Christos Mousas, Sushil J. Louis, Moinul Hossain, Sergiu M. Dascalu, Dominic Kao, Monica Nicolescu, Mircea Nicolescu, Richard Kelley, Ruopu Li and Di Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurocomputing and Environmental Modelling & Software.

In The Last Decade

Banafsheh Rekabdar

42 papers receiving 329 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Banafsheh Rekabdar United States 10 107 64 62 59 50 47 344
Alejandro Betancourt Italy 11 69 0.6× 35 0.5× 178 2.9× 18 0.3× 108 2.2× 19 460
Takashi Yasuno Japan 10 62 0.6× 105 1.6× 46 0.7× 33 0.6× 35 0.7× 72 324
Ioannis Kansizoglou Greece 11 58 0.5× 54 0.8× 179 2.9× 15 0.3× 33 0.7× 30 408
Yaocong Hu China 13 116 1.1× 40 0.6× 323 5.2× 16 0.3× 29 0.6× 30 594
Oscar Fernando Avilés Sánchez Colombia 13 42 0.4× 20 0.3× 46 0.7× 53 0.9× 47 0.9× 82 535
B. S. Sathish India 10 65 0.6× 26 0.4× 198 3.2× 23 0.4× 70 1.4× 33 499
Brian A. Smith United States 8 73 0.7× 64 1.0× 120 1.9× 111 1.9× 255 5.1× 28 517
Jiwon Lee South Korea 8 16 0.1× 28 0.4× 49 0.8× 91 1.5× 135 2.7× 18 319
Hong Kook Kim South Korea 15 295 2.8× 76 1.2× 213 3.4× 92 1.6× 9 0.2× 134 823

Countries citing papers authored by Banafsheh Rekabdar

Since Specialization
Citations

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

Fields of papers citing papers by Banafsheh Rekabdar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Banafsheh Rekabdar

This figure shows the co-authorship network connecting the top 25 collaborators of Banafsheh Rekabdar. A scholar is included among the top collaborators of Banafsheh Rekabdar 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 Banafsheh Rekabdar. Banafsheh Rekabdar 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.
Li, Ruopu, et al.. (2025). GeoAI-based drainage crossing detection for elevation-derived hydrographic mapping. Environmental Modelling & Software. 186. 106338–106338. 1 indexed citations
2.
Hutchings, Jennifer, et al.. (2025). Data-driven modeling of sea ice behavior using a stress-strain database and machine learning. Ocean Engineering. 337. 121723–121723. 1 indexed citations
3.
Rekabdar, Banafsheh, et al.. (2023). Regression transfer learning for the prediction of three-dimensional ground reaction forces and joint moments during gait. International Journal of Biomedical Engineering and Technology. 42(4). 317–338. 3 indexed citations
4.
Rekabdar, Banafsheh, et al.. (2023). Spiking Convolutional Vision Transformer. PDXScholar (Portland State University). 225–226.
5.
Rekabdar, Banafsheh, et al.. (2023). Noisy-Defense Variational Auto-Encoder (ND-VAE): An Adversarial Defense Framework to Eliminate Adversarial Attacks. PDXScholar (Portland State University). 50–57. 3 indexed citations
6.
Rekabdar, Banafsheh, et al.. (2023). Attacking a Transformer-Based Models for Arabic Language as Low Resources Language (LRL) Using Word-Substitution Methods. PDXScholar (Portland State University). 95–101. 2 indexed citations
7.
Rekabdar, Banafsheh, et al.. (2022). From machine learning to deep learning: A comprehensive study of alcohol and drug use disorder. SHILAP Revista de lepidopterología. 2. 100104–100104. 11 indexed citations
8.
Rekabdar, Banafsheh, et al.. (2021). Deep Learning Methods in Predicting Gene Expression Levels for the Malaria Parasite. Frontiers in Genetics. 12. 721068–721068. 1 indexed citations
9.
Rekabdar, Banafsheh, et al.. (2021). Memory Efficient Knowledge Base Question Answering with Chatbot Framework. PDXScholar (Portland State University). 2 indexed citations
10.
Rekabdar, Banafsheh, et al.. (2021). Predicting human–pathogen protein–protein interactions using Natural Language Processing methods. Informatics in Medicine Unlocked. 26. 100738–100738. 1 indexed citations
11.
Bhadra, Sourav, Ruopu Li, Di Wu, Guangxing Wang, & Banafsheh Rekabdar. (2021). Assessing the impacts of anthropogenic drainage structures on hydrologic connectivity using high‐resolution digital elevation models. Transactions in GIS. 25(5). 2596–2611. 7 indexed citations
12.
Mousas, Christos, et al.. (2021). Evaluating virtual reality locomotion interfaces on collision avoidance task with a virtual character. The Visual Computer. 37(9-11). 2823–2839. 17 indexed citations
13.
Rekabdar, Banafsheh, et al.. (2021). Conversational Question Answering Over Knowledge Base using Chat-Bot Framework. 84–85. 8 indexed citations
14.
Mousas, Christos, et al.. (2019). Passenger Anxiety when Seated in a Virtual Reality Self-Driving Car. 1024–1025. 8 indexed citations
15.
Rekabdar, Banafsheh, et al.. (2019). Arabic Poem Generation with Hierarchical Recurrent Attentional Network. 316–323. 7 indexed citations
16.
17.
Rekabdar, Banafsheh. (2016). Are spiking neural networks useful for classifying and early recognition of spatio-temporal patterns?. International Joint Conference on Artificial Intelligence. 4022–4023.
18.
Rekabdar, Banafsheh, et al.. (2016). A compact task representation for hierarchical robot control. 9. 697–704. 6 indexed citations
19.
Nicolescu, Mircea, et al.. (2015). Intent Understanding Using an Activation Spreading Architecture. Robotics. 4(3). 284–315. 2 indexed citations
20.
Rekabdar, Banafsheh, Monica Nicolescu, & Mircea Nicolescu. (2015). An Unsupervised Learning Approach for Classifying Sequence Data for Human Robotic Interaction Using Spiking Neural Network. 5. 213–214. 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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