Amr A. Abohany

1.3k citations
47 papers · 616 indexed · 2 hit papers · h-index 13
Topics
Metaheuristic Optimization Algorithms Research (7 papers)Spam and Phishing Detection (5 papers)IoT and Edge/Fog Computing (4 papers)
Journals
SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsIEEE Access

In The Last Decade

Amr A. Abohany

43 papers receiving 571 citations

Hit Papers

Emerging Trends in Blockchain Technology and Applications...2022202620232024202220244080120

Peers

Amr A. Abohany
Comparison fields: 5 of 94
  • Artificial Intelligence 295
  • Information Systems 180
  • Computer Networks and Communications 95
  • Renewable Energy, Sustainability and the Environment 63
  • Computer Vision and Pattern Recognition 56
Replace Xuejiao Zhao with:
Xuejiao Zhao China
Arun Solanki India
Luís Cruz Netherlands
Fayez Alqahtani Saudi Arabia
Francesca Fallucchi Italy
Dženana Đonko Bosnia and Herzegovina
S. B. G. Tilak Babu India
Ankur Singh Bist India
Khin Lwin United Kingdom
Paul Sant United Kingdom
Amr A. Abohany relative to Xuejiao Zhao China Xuejiao Zhao's profile →
Citations per field
00.5×
Xuejiao Zhao · 1×
Citations per year

Countries citing papers authored by Amr A. Abohany

Since Specialization
Citations

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

Fields of papers citing papers by Amr A. Abohany

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amr A. Abohany

This figure shows the co-authorship network connecting the top 25 collaborators of Amr A. Abohany. A scholar is included among the top collaborators of Amr A. Abohany 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 Amr A. Abohany. Amr A. Abohany 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 12
2 5
3 2
4 10
5 5
6 3
7 1
8 6
9 6
10 1
11 5
12 19
13 0
14 2
15 5
16 40
17 22
18 62
19 2
20
Emerging Trends in Blockchain Technology and Applications: A Review and Outlookbreakdown →
134

About Amr A. Abohany

Amr A. Abohany is a scholar working on Health Informatics, Health Information Management and Artificial Intelligence, having authored 47 papers that have together received 616 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (7 papers), Spam and Phishing Detection (5 papers) and IoT and Edge/Fog Computing (4 papers). The work is most often cited by research in Artificial Intelligence (295 citations), Information Systems (180 citations) and Health Informatics (10 citations). Amr A. Abohany has collaborated with scholars based in Egypt, Australia and Saudi Arabia. Frequent co-authors include Ahmed G. Gad, Karam M. Sallam, Amr A. Abd El-Mageed, Laith Abualigah, Ripon K. Chakrabortty, Shaymaa E. Sorour, Michael J. Ryan, O. E. Emam, Engy El-Shafeiy and Khalid M. Hosny. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

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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