Emad Al‐Shawakfa

446 citations
20 papers · 303 indexed · h-index 9
Topics
Text and Document Classification Technologies (8 papers)Spam and Phishing Detection (6 papers)Advanced Text Analysis Techniques (5 papers)
Journals
SHILAP Revista de lepidopterologíaComputers & SecurityJournal of Information Science

In The Last Decade

Emad Al‐Shawakfa

19 papers receiving 248 citations

Peers

Emad Al‐Shawakfa
Comparison fields: 5 of 53
  • Artificial Intelligence 185
  • Information Systems 147
  • Computer Science Applications 114
  • Computer Networks and Communications 34
  • Health Information Management 29
Replace Diego García‐Saiz with:
Diego García‐Saiz Spain
Anupama Chadha India
Mirza Suljić Bosnia and Herzegovina
Shade O. Kuyoro Nigeria
Edin Osmanbegović Bosnia and Herzegovina
Julien Tane Germany
Regina Motz Uruguay
Tribikram Pradhan India
Antonius Rachmat Chrismanto Indonesia
Allan Third United Kingdom
Emad Al‐Shawakfa relative to Diego García‐Saiz Spain Diego García‐Saiz's profile →
Citations per field
00.5×3.2×
Diego García‐Saiz · 1×
Citations per year

Countries citing papers authored by Emad Al‐Shawakfa

Since Specialization
Citations

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

Fields of papers citing papers by Emad Al‐Shawakfa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emad Al‐Shawakfa. 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 Emad Al‐Shawakfa. The network helps show where Emad Al‐Shawakfa may publish in the future.

Co-authorship network of co-authors of Emad Al‐Shawakfa

This figure shows the co-authorship network connecting the top 25 collaborators of Emad Al‐Shawakfa. A scholar is included among the top collaborators of Emad Al‐Shawakfa 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 Emad Al‐Shawakfa. Emad Al‐Shawakfa 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
#WorkIndexed citations
1 5
2 1
3 6
4 19
5 4
6 2
7 2
8 0
9 9
10 17
11 4
12 1
13 5
14 12
15 28
16
A Classification Model for Predicting the Suitable Study Track for School Students
20
17 12
18 17
19
Mining Student Data Using Decision Trees
136
20 3

About Emad Al‐Shawakfa

Emad Al‐Shawakfa is a scholar working on Information Systems, Artificial Intelligence and Computer Science Applications, having authored 20 papers that have together received 303 indexed citations. Recurring topics across this work include Text and Document Classification Technologies (8 papers), Spam and Phishing Detection (6 papers) and Advanced Text Analysis Techniques (5 papers). The work is most often cited by research in Computer Science Applications (114 citations), Information Systems (147 citations) and Health Information Management (29 citations). Emad Al‐Shawakfa has collaborated with scholars based in Jordan, United States and Bahrain. Frequent co-authors include Qasem A. Al‐Radaideh, Izzat Alsmadi, Mohammed N. Al‐Kabi, Ahmed Aleroud, Hani Abu‐Salem, Heider A. Wahsheh, Mohammad Al-Ramahi, Martha Evens, Anas Alsobeh and Eslam Al Maghayreh. Their work appears in journals such as SHILAP Revista de lepidopterología, Computers & Security and Journal of Information Science.

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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