Gheith A. Abandah

794 total citations
45 papers, 563 citations indexed

About

Gheith A. Abandah is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Gheith A. Abandah has authored 45 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 22 papers in Artificial Intelligence and 10 papers in Computer Networks and Communications. Recurrent topics in Gheith A. Abandah's work include Handwritten Text Recognition Techniques (22 papers), Natural Language Processing Techniques (16 papers) and Parallel Computing and Optimization Techniques (10 papers). Gheith A. Abandah is often cited by papers focused on Handwritten Text Recognition Techniques (22 papers), Natural Language Processing Techniques (16 papers) and Parallel Computing and Optimization Techniques (10 papers). Gheith A. Abandah collaborates with scholars based in Jordan, United States and Saudi Arabia. Gheith A. Abandah's co-authors include Fuad Jamour, Edward S. Davidson, Ali Al‐Haj, Majid A. Al-Taee, Alex Graves, Khalid A. Darabkh, Mohammad Abdel-Majeed, Raed T. Al‐Zubi, Iyad F. Jafar and Noor Hussein and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Parallel and Distributed Systems and Journal of King Saud University - Computer and Information Sciences.

In The Last Decade

Gheith A. Abandah

45 papers receiving 515 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gheith A. Abandah Jordan 13 294 247 97 88 57 45 563
Hwai-Jung Hsu Taiwan 9 222 0.8× 56 0.2× 152 1.6× 11 0.1× 72 1.3× 22 405
Xiaochen Lian China 8 196 0.7× 111 0.4× 83 0.9× 23 0.3× 10 0.2× 13 331
Rob Koenen Portugal 9 482 1.6× 71 0.3× 94 1.0× 31 0.4× 16 0.3× 19 626
Micah Goldblum United States 6 147 0.5× 231 0.9× 38 0.4× 9 0.1× 12 0.2× 21 386
Satish R. Kolhe India 10 228 0.8× 138 0.6× 88 0.9× 131 1.5× 3 0.1× 31 374
Nirmalya Kar India 10 185 0.6× 86 0.3× 57 0.6× 12 0.1× 5 0.1× 35 354
L. Vita Italy 10 62 0.2× 94 0.4× 163 1.7× 12 0.1× 18 0.3× 59 336
Giorgos Papadourakis Greece 9 153 0.5× 80 0.3× 32 0.3× 21 0.2× 7 0.1× 53 337
Jeffrey W. Humphries United States 11 29 0.1× 105 0.4× 148 1.5× 98 1.1× 49 0.9× 21 483
Jerry L. Potter United States 10 112 0.4× 74 0.3× 166 1.7× 9 0.1× 165 2.9× 48 372

Countries citing papers authored by Gheith A. Abandah

Since Specialization
Citations

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

Fields of papers citing papers by Gheith A. Abandah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gheith A. Abandah. 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 Gheith A. Abandah. The network helps show where Gheith A. Abandah may publish in the future.

Co-authorship network of co-authors of Gheith A. Abandah

This figure shows the co-authorship network connecting the top 25 collaborators of Gheith A. Abandah. A scholar is included among the top collaborators of Gheith A. Abandah 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 Gheith A. Abandah. Gheith A. Abandah 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.
Abandah, Gheith A., et al.. (2022). End-to-End Machine Learning Solution for Recognizing Handwritten Arabic Documents. 180–185. 2 indexed citations
2.
Abandah, Gheith A., et al.. (2020). Classifying and diacritizing Arabic poems using deep recurrent neural networks. Journal of King Saud University - Computer and Information Sciences. 34(6). 3775–3788. 29 indexed citations
3.
Abandah, Gheith A., et al.. (2020). ACCURATE AND FAST RECURRENT NEURAL NETWORK SOLUTION FOR THE AUTOMATIC DIACRITIZATION OF ARABIC TEXT. SHILAP Revista de lepidopterología. 1–1. 14 indexed citations
4.
Abandah, Gheith A., et al.. (2018). Challenges and Preprocessing Recommendations for MADCAT Dataset of Handwritten Arabic Documents. 1–9. 1 indexed citations
5.
Abandah, Gheith A., et al.. (2017). Investigating hybrid approaches for Arabic text diacritization with recurrent neural networks. 1–6. 16 indexed citations
6.
Al‐Haj, Ali, Noor Hussein, & Gheith A. Abandah. (2016). Combining cryptography and digital watermarking for secured transmission of medical images. 40–46. 14 indexed citations
7.
Al‐Haj, Ali, et al.. (2015). Crypto‐based algorithms for secured medical image transmission. IET Information Security. 9(6). 365–373. 66 indexed citations
8.
Abandah, Gheith A., et al.. (2015). Effect of topic on the Arabic language used on social networks and mobile phone communications. 7. 1–6. 2 indexed citations
9.
Abandah, Gheith A., et al.. (2015). The Arabic Language Status in the Jordanian Social Networking and Mobile Phone Communications. 449–456. 6 indexed citations
10.
Abandah, Gheith A., et al.. (2014). Secure National Electronic Voting System. Journal of information science and engineering. 30(5). 1339–1364. 9 indexed citations
11.
Darabkh, Khalid A., et al.. (2012). An improved queuing model for packet retransmission policy and variable latency decoders. IET Communications. 6(18). 3315–3328. 32 indexed citations
12.
Abandah, Gheith A., et al.. (2011). Feature Selection for Recognizing Handwritten Arabic Letters. 37(2). 19 indexed citations
13.
Abandah, Gheith A., et al.. (2011). Optical character recognition of handwritten Arabic using hidden Markov models. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8055. 80550L–80550L. 4 indexed citations
14.
Abandah, Gheith A. & Fuad Jamour. (2010). Recognizing handwritten Arabic script through efficient skeleton-based grapheme segmentation algorithm. 977–982. 10 indexed citations
15.
Abandah, Gheith A., et al.. (2008). Handwritten Arabic character recognition using multiple classifiers based on letter form. International Conference on Signal Processing. 128–133. 35 indexed citations
16.
Abandah, Gheith A., et al.. (2007). Optimizing Feature Selection For Recognizing Handwritten Arabic Characters. Zenodo (CERN European Organization for Nuclear Research). 81–84. 12 indexed citations
17.
Abandah, Gheith A. & Edward S. Davidson. (1998). Reducing communication cost in scalable shared memory systems.. Deep Blue (University of Michigan). 4 indexed citations
18.
Abandah, Gheith A. & Edward S. Davidson. (1998). Origin 2000 design enhancements for communication intensive applications. International Conference on Parallel Architectures and Compilation Techniques. 30–39. 3 indexed citations
19.
Abandah, Gheith A. & Edward S. Davidson. (1998). Effects of architectural and technological advances on the HP/Convex Exemplar's memory and communication performance. 26(3). 318–329. 11 indexed citations
20.
Abandah, Gheith A. & Edward S. Davidson. (1998). Characterizing distributed shared memory performance: a case study of the Convex SPP1000. IEEE Transactions on Parallel and Distributed Systems. 9(2). 206–216. 11 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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