Ahmad Nickabadi

1.4k total citations · 1 hit paper
31 papers, 906 citations indexed

About

Ahmad Nickabadi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Ahmad Nickabadi has authored 31 papers receiving a total of 906 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 6 papers in Information Systems. Recurrent topics in Ahmad Nickabadi's work include Face recognition and analysis (4 papers), Web Application Security Vulnerabilities (4 papers) and Video Analysis and Summarization (3 papers). Ahmad Nickabadi is often cited by papers focused on Face recognition and analysis (4 papers), Web Application Security Vulnerabilities (4 papers) and Video Analysis and Summarization (3 papers). Ahmad Nickabadi collaborates with scholars based in Iran, Japan and Sweden. Ahmad Nickabadi's co-authors include Reza Safabakhsh, Mohammad Mehdi Ebadzadeh, Alexandre Alahi, Navid Mohammadi Foumani, Morteza Haghir Chehreghani, Mehdi Ghatee, Mohammad Mehdi Homayounpour, Farshad Almasganj, S. Mehdi Hashemi and Raghavendra Ramachandra and has published in prestigious journals such as Expert Systems with Applications, Neurocomputing and Applied Soft Computing.

In The Last Decade

Ahmad Nickabadi

29 papers receiving 873 citations

Hit Papers

align trajectories

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.

A novel particle swarm optimization algorithm with adaptive inertia weight

2011 607 citations Ahmad Nickabadi, Reza Safabakhsh et al. Applied Soft Computing profile →

Peers

Ahmad Nickabadi

AI

CTM

CVPR

CSE

EEE

Mehreen Saeed Pakistan

Irfan Younas Pakistan

Priyanka Anand India

Tsung-Ying Sun Taiwan

Hassan Shaban Egypt

Xian-Bing Meng China

Seyed Hamid Zahiri Iran

Claudia I. González Mexico

Shimpi Singh Jadon India

Juliano Pierezan Brazil

Mehreen Saeed Pakistan

Ahmad Nickabadi

705 ×1.4

AI

257 ×1.3

CTM

166 ×0.9

CVPR

124 ×0.8

CSE

160 ×1.3

EEE

Citations per year, relative to Ahmad Nickabadi Ahmad Nickabadi (= 1×) peers Mehreen Saeed

Countries citing papers authored by Ahmad Nickabadi

Since Specialization

Citations

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

Fields of papers citing papers by Ahmad Nickabadi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ahmad Nickabadi

This figure shows the co-authorship network connecting the top 25 collaborators of Ahmad Nickabadi. A scholar is included among the top collaborators of Ahmad Nickabadi 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 Ahmad Nickabadi. Ahmad Nickabadi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Nickabadi, Ahmad, et al.. (2024). Supervised contrastive learning for graph representation enhancement. Neurocomputing. 588. 127710–127710. 4 indexed citations

2.

Nickabadi, Ahmad, et al.. (2024). Identity-preserving editing of multiple facial attributes by learning global edit directions and local adjustments. Computer Vision and Image Understanding. 246. 104047–104047. 1 indexed citations

3.

Nickabadi, Ahmad, et al.. (2024). GPTGAN: Utilizing the GPT language model and GAN to enhance adversarial text generation. Neurocomputing. 617. 128865–128865. 2 indexed citations

4.

Mazloumi, Adel, et al.. (2024). Evaluation of driver drowsiness based on respiratory metrics. Work. 78(3). 747–760. 1 indexed citations

5.

Nickabadi, Ahmad, et al.. (2023). Business-layer client-side racer: dynamic security testing of the web application against client-side race condition in the business layer. International Journal of Information Security. 22(4). 1029–1054.

6.

Mazloumi, Adel, et al.. (2023). A hybrid approach for driver drowsiness detection utilizing practical data to improve performance system and applicability. Work. 77(4). 1165–1177. 3 indexed citations

7.

Shajari, Mehdi, et al.. (2023). User2Vec: A Novel Representation for the Information of the Social Networks for Stock Market Prediction Using Convolutional and Recurrent Neural Networks. Mathematics. 11(13). 2950–2950. 4 indexed citations

8.

Nickabadi, Ahmad, et al.. (2023). Convolutional Spiking Neural Networks for Spatio-Temporal Feature Extraction. Neural Processing Letters. 55(6). 6979–6995. 21 indexed citations

9.

Homayounpour, Mohammad Mehdi, et al.. (2023). Efficient Attention Branch Network with Combined Loss Function for Automatic Speaker Verification Spoof Detection. Circuits Systems and Signal Processing. 42(7). 4252–4270. 5 indexed citations

10.

Nickabadi, Ahmad, et al.. (2023). GMFIM: A generative mask-guided facial image manipulation model for privacy preservation. Computers & Graphics. 112. 81–91. 5 indexed citations

11.

Nickabadi, Ahmad, et al.. (2022). Semantic web Racer: Dynamic security testing of the web application against race condition in the business layer. Expert Systems with Applications. 195. 116569–116569. 5 indexed citations

12.

Nickabadi, Ahmad, et al.. (2022). CLP-GCN: Confidence and label propagation applied to Graph Convolutional Networks. Applied Soft Computing. 132. 109850–109850. 6 indexed citations

13.

Ghatee, Mehdi, et al.. (2022). Diverse and styled image captioning using singular value decomposition‐based mixture of recurrent experts. Concurrency and Computation Practice and Experience. 34(22). 1 indexed citations

14.

Nickabadi, Ahmad, et al.. (2022). Forest road planning to improve tourism accessibility: a comparison of different methods applied in a real case study. Geocarto International. 37(25). 10076–10095. 2 indexed citations

15.

Ramachandra, Raghavendra, et al.. (2020). Threat of Adversarial Attacks on Face Recognition: A Comprehensive Survey.. arXiv (Cornell University). 5 indexed citations

16.

Nickabadi, Ahmad, et al.. (2019). Evaluating the web‐application resiliency to business‐layer DoS attacks. ETRI Journal. 42(3). 433–445. 6 indexed citations

17.

Nickabadi, Ahmad, et al.. (2019). BLProM: A black-box approach for detecting business-layer processes in the web applications. 6(2). 65–80. 2 indexed citations

18.

Almasganj, Farshad, et al.. (2018). LIP-READING VIA DEEP NEURAL NETWORKS USING HYBRID VISUAL FEATURES. Image Analysis & Stereology. 37(2). 159–159. 6 indexed citations

19.

Nickabadi, Ahmad, et al.. (2017). TSAKE: A topical and structural automatic keyphrase extractor. Applied Soft Computing. 58. 620–630. 21 indexed citations

20.

Moradi, Sirous & Ahmad Nickabadi. (2006). Optimization of Mobile Phone Keypad Layout via Genetic Algorithm. 1. 1676–1681. 2 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.

Explore authors with similar magnitude of impact