Tamer N. Jarada

789 citations
27 papers · 492 indexed · h-index 9
Topics
Bioinformatics and Genomic Networks (6 papers)Lung Cancer Treatments and Mutations (4 papers)Computational Drug Discovery Methods (4 papers)
Partner nations
CanadaLebanonTürkiye

In The Last Decade

Tamer N. Jarada

24 papers receiving 475 citations

Peers

Tamer N. Jarada
Comparison fields: 5 of 106
  • Molecular Biology 227
  • Computational Theory and Mathematics 197
  • Oncology 67
  • Artificial Intelligence 57
  • Computer Vision and Pattern Recognition 40
Replace Giuseppe Agapito with:
Giuseppe Agapito Italy
Xiaorui Su China
Sameh K. Mohamed Ireland
Noël Malod‐Dognin United Kingdom
Petteri Hintsanen Finland
Shuting Jin China
Debby D. Wang Hong Kong
Qing Xie China
Pingjian Ding China
Lee A. O’Brien Canada
Tamer N. Jarada relative to Giuseppe Agapito Italy Giuseppe Agapito's profile →
Citations per field
00.5×1.5×2.1×
Giuseppe Agapito · 1×
Citations per year

Countries citing papers authored by Tamer N. Jarada

Since Specialization
Citations

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

Fields of papers citing papers by Tamer N. Jarada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tamer N. Jarada. 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 Tamer N. Jarada. The network helps show where Tamer N. Jarada may publish in the future.

Co-authorship network of co-authors of Tamer N. Jarada

This figure shows the co-authorship network connecting the top 25 collaborators of Tamer N. Jarada. A scholar is included among the top collaborators of Tamer N. Jarada 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 Tamer N. Jarada. Tamer N. Jarada 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 1
2 0
3 0
4 3
5 17
6 1
7 5
8 1
9 4
10 16
11 2
12 42
13 1
14 230
15 5
16 1
17 3
18 1
19 38
20 49

About Tamer N. Jarada

Tamer N. Jarada is a scholar working on Oncology, Computational Theory and Mathematics and Hepatology, having authored 27 papers that have together received 492 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (6 papers), Lung Cancer Treatments and Mutations (4 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Computational Theory and Mathematics (197 citations), Computational Mathematics (4 citations) and Health Informatics (5 citations). Tamer N. Jarada has collaborated with scholars based in Canada, Lebanon and Türkiye. Frequent co-authors include Reda Alhajj, Jon Rokne, Dylan E. O’Sullivan, Winson Y. Cheung, Darren R. Brenner, Devon J. Boyne, Shang Gao, Emily Heer, Jan‐Willem Henning and Patricia A. Tang. Their work appears in journals such as Journal of Clinical Oncology, Cancer and BMC Bioinformatics.

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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