Ammar Abdo

409 citations
29 papers · 315 · h-index 11

Impact in

Papers in

Ammar Abdo

28 papers receiving 308 citations

Peers

Ammar Abdo
Comparison fields: 5 of 59
  • Computational Theory and Mathematics 229
  • Spectroscopy 61
  • Molecular Biology 169
  • Materials Chemistry 104
  • Pharmacology 24
Replace Dmitrii N. Rassokhin with:
Dmitrii N. Rassokhin United States
Oliver Wieder Austria
Andreas Teckentrup Germany
Kedi Wu China
Stefan M. Kohlbacher Austria
Thierry Hanser United Kingdom
Mingjian Jiang China
G. M. DOWNS United Kingdom
William Fisanick
José Ignacio Abreu Cuba
Ammar Abdo relative to Dmitrii N. Rassokhin United States Dmitrii N. Rassokhin's profile →
Citations per field
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Dmitrii N. Rassokhin · 1×
Citations per year

Countries citing papers authored by Ammar Abdo

Since Specialization
Citations

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

Fields of papers citing papers by Ammar Abdo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Ammar Abdo, 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 Ammar Abdo Line = papers co-authored together Ammar Abdo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201056
2 201027
3 200826
4 201225
5 201225
6 201422
7 201419
8 201218
9 201116
10 201314
11 201213
12 20139
13 20099
14 20136
15 20145
16 20084
17 20143
18 20132
19 20212
20 20252

About Ammar Abdo

Ammar Abdo is a scholar working on Computational Theory and Mathematics, Molecular Biology, Spectroscopy, Materials Chemistry and Artificial Intelligence, having authored 29 papers that have together received 315 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (23 papers), Analytical Chemistry and Chromatography (12 papers), Machine Learning in Materials Science (8 papers), Metabolomics and Mass Spectrometry Studies (6 papers), Biomedical Text Mining and Ontologies (4 papers), Advanced Clustering Algorithms Research (2 papers), Plant biochemistry and biosynthesis (2 papers) and Bioinformatics and Genomic Networks (2 papers). The work is most often cited by research in Computational Theory and Mathematics (229 citations), Spectroscopy (61 citations), Molecular Biology (169 citations), Materials Chemistry (104 citations) and Pharmacology (24 citations). Ammar Abdo has collaborated with scholars based in Malaysia, Yemen and France. Frequent co-authors include Naomie Salim, Faisal Saeed, Ali Ahmed, Beining Chen, Peter Willett, Christoph Mueller, Maude Pupin, Valérie Leclère, Philippe Jacques and Ségolène Caboche. Their work appears in journals such as Journal of Computer-Aided Molecular Design, Journal of Chemical Information and Modeling, Journal of Cheminformatics, Molecular Informatics and Scientific Reports.

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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