Arafat Awajan
- Artificial Intelligence top 1%
- Information Systems top 2%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Sociology and Political Science
- Co-authors
- Bushra AlhijawiDima SuleimanWael EtaiwiSamar Al-SaqqaGhazi Al‐NaymatSara TedmoriHeba Abdel-NabiNadim Obeid
- Topics
- Topic Modeling (41 papers)Natural Language Processing Techniques (30 papers)Advanced Text Analysis Techniques (29 papers)
- Partner nations
- JordanUnited Arab EmiratesSingapore
In The Last Decade
Arafat Awajan
97 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Artificial Intelligence 878
- Information Systems 351
- Computer Networks and Communications 143
- Computer Vision and Pattern Recognition 129
- Sociology and Political Science 88
Countries citing papers authored by Arafat Awajan
This map shows the geographic impact of Arafat Awajan'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 Arafat Awajan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arafat Awajan more than expected).
Fields of papers citing papers by Arafat Awajan
This network shows the impact of papers produced by Arafat Awajan. 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 Arafat Awajan. The network helps show where Arafat Awajan may publish in the future.
Co-authorship network of co-authors of Arafat Awajan
This figure shows the co-authorship network connecting the top 25 collaborators of Arafat Awajan. A scholar is included among the top collaborators of Arafat Awajan 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 Arafat Awajan. Arafat Awajan 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 | Genetic algorithms: theory, genetic operators, solutions, and applicationsbreakdown → | 235 |
| 3 | 6 | |
| 4 | 12 | |
| 5 | 6 | |
| 6 | 4 | |
| 7 | 3 | |
| 8 | 8 | |
| 9 | 3 | |
| 10 | 37 | |
| 11 | 14 | |
| 12 | 39 | |
| 13 | 19 | |
| 14 | The impact of natural language preprocessing on big data sentiment analysis. | 6 |
| 15 | A machine learning system for distinguishing nominal and verbal arabic sentences. | 6 |
| 16 | 15 | |
| 17 | 8 | |
| 18 | 8 | |
| 19 | Blank Background Image lossless Compression Technique | 4 |
| 20 | Unsupervised Approach for Automatic Keyword Extraction from Arabic Documents | 8 |
About Arafat Awajan
Arafat Awajan is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 101 papers that have together received 1.4k indexed citations. Recurring topics across this work include Topic Modeling (41 papers), Natural Language Processing Techniques (30 papers) and Advanced Text Analysis Techniques (29 papers). The work is most often cited by research in Artificial Intelligence (878 citations), Information Systems (351 citations) and Information Systems and Management (58 citations). Arafat Awajan has collaborated with scholars based in Jordan, United Arab Emirates and Singapore. Frequent co-authors include Bushra Alhijawi, Dima Suleiman, Wael Etaiwi, Samar Al-Saqqa, Ghazi Al‐Naymat, Sara Tedmori, Heba Abdel-Nabi, Nadim Obeid, Sufyan Almajali and F.M.A. Salam. Their work appears in journals such as IEEE Access, ACM Computing Surveys and Information Sciences.
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.