Atta Badii

1.3k citations
93 papers · 735 · h-index 16

Impact in

Papers in

Atta Badii

83 papers receiving 660 citations

Peers

Atta Badii
Comparison fields: 5 of 103
  • Management Information Systems 94
  • Computer Science Applications 55
  • Computer Vision and Pattern Recognition 168
  • Information Systems 147
  • Artificial Intelligence 187
Replace Tranos Zuva with:
Tranos Zuva South Africa
Ayman G. Fayoumi Saudi Arabia
Hwa‐Young Jeong South Korea
Pierluigi Ritrovato Italy
Salah Al-Sharhan Kuwait
Stefanie Lindstaedt Austria
Nelson Baloian Chile
Mourad Abed France
José Palazzo Moreira de Oliveira Brazil
Ibrahim Almarashdeh Saudi Arabia
Atta Badii relative to Tranos Zuva South Africa Tranos Zuva's profile →
Citations per field
00.5×4.8×
Tranos Zuva · 1×
Citations per year

Countries citing papers authored by Atta Badii

Since Specialization
Citations

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

Fields of papers citing papers by Atta Badii

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Atta Badii, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Atta Badii Line = papers co-authored together Atta Badii links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Effective e-learning integration with traditional learning in a blended learning environment
200886
2 201651
3 202142
4 201942
5 200340
6 200436
7 201028
8 201824
9 200923
10 201520
11 201420
12 202220
13 201520
14 201718
15 200915
16 202215
17 201414
18 202211
19 201410
20 20089

About Atta Badii

Atta Badii is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Information Systems and Management Information Systems, having authored 93 papers that have together received 735 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (11 papers), Business Process Modeling and Analysis (11 papers), Network Security and Intrusion Detection (8 papers), Anomaly Detection Techniques and Applications (8 papers), Video Analysis and Summarization (7 papers), Context-Aware Activity Recognition Systems (7 papers), Semantic Web and Ontologies (6 papers) and Advanced Malware Detection Techniques (5 papers). The work is most often cited by research in Management Information Systems (94 citations), Computer Science Applications (55 citations), Computer Vision and Pattern Recognition (168 citations), Information Systems (147 citations) and Artificial Intelligence (187 citations). Atta Badii has collaborated with scholars based in United Kingdom, Germany and Spain. Frequent co-authors include Amir M. Sharif, Andréa Cullen, Frederic Stahl, Leandro L. Minku, Alina Miron, Ahmed Al-Azawei, Tony Elliman, Peter E.D. Love, Konstantinos Banitsas and Stephan Günnemann. Their work appears in journals such as Signal Processing Image Communication, Knowledge-Based Systems, Sensors, Journal of Enterprise Information Management 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.

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