Amal I. Saba

645 citations
8 papers · 474 indexed · h-index 8
Topics
COVID-19 diagnosis using AI (5 papers)COVID-19 epidemiological studies (3 papers)COVID-19 Pandemic Impacts (2 papers)
Journals
SHILAP Revista de lepidopterologíaProcess Safety and Environmental ProtectionEntropy
Partner nations
EgyptSaudi ArabiaIndia

In The Last Decade

Amal I. Saba

8 papers receiving 457 citations

Peers

Amal I. Saba
Comparison fields: 5 of 108
  • Radiology, Nuclear Medicine and Imaging 179
  • Artificial Intelligence 169
  • Modeling and Simulation 150
  • Economics and Econometrics 50
  • Electrical and Electronic Engineering 48
Replace Sandi Baressi Šegota with:
Sandi Baressi Šegota Croatia
Abdelhafid Zeroual Algeria
Iman Rahimi Australia
Tanujit Chakraborty India
Parul Arora India
H. Swapnarekha India
K.E. ArunKumar India
Neeraj Gupta India
Reza Paki Iran
Anuradha Tomar India
Amal I. Saba relative to Sandi Baressi Šegota Croatia Sandi Baressi Šegota's profile →
Citations per field
00.5×1.6×
Sandi Baressi Šegota · 1×
Citations per year

Countries citing papers authored by Amal I. Saba

Since Specialization
Citations

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

Fields of papers citing papers by Amal I. Saba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amal I. Saba. 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 Amal I. Saba. The network helps show where Amal I. Saba may publish in the future.

Co-authorship network of co-authors of Amal I. Saba

This figure shows the co-authorship network connecting the top 25 collaborators of Amal I. Saba. A scholar is included among the top collaborators of Amal I. Saba 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 Amal I. Saba. Amal I. Saba is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
#WorkIndexed citations
1 12
2 8
3 8
4 38
5 86
6 75
7 148
8 99

About Amal I. Saba

Amal I. Saba is a scholar working on Modeling and Simulation, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 8 papers that have together received 474 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (5 papers), COVID-19 epidemiological studies (3 papers) and COVID-19 Pandemic Impacts (2 papers). The work is most often cited by research in Modeling and Simulation (150 citations), Health Informatics (17 citations) and Radiology, Nuclear Medicine and Imaging (179 citations). Amal I. Saba has collaborated with scholars based in Egypt, Saudi Arabia and India. Frequent co-authors include Ammar H. Elsheikh, Mohamed Abd Elaziz, S. Shanmugan, Mahmoud Ahmadein, Naser A. Alsaleh, Songfeng Lu, Abdelghani Dahou, T. Muthuramalingam, Ravinder Kumar and Taher A. Shehabeldeen. Their work appears in journals such as SHILAP Revista de lepidopterología, Process Safety and Environmental Protection and Entropy.

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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