Rida Assaf

3.0k total citations
6 papers, 29 citations indexed

About

Rida Assaf is a scholar working on Molecular Biology, Astronomy and Astrophysics and Artificial Intelligence. According to data from OpenAlex, Rida Assaf has authored 6 papers receiving a total of 29 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Astronomy and Astrophysics and 1 paper in Artificial Intelligence. Recurrent topics in Rida Assaf's work include RNA and protein synthesis mechanisms (2 papers), Genomics and Phylogenetic Studies (2 papers) and Sports Performance and Training (1 paper). Rida Assaf is often cited by papers focused on RNA and protein synthesis mechanisms (2 papers), Genomics and Phylogenetic Studies (2 papers) and Sports Performance and Training (1 paper). Rida Assaf collaborates with scholars based in United States and Lebanon. Rida Assaf's co-authors include Rick Stevens and Fangfang Xia and has published in prestigious journals such as Scientific Reports, BMC Genomics and Astronomy and Computing.

In The Last Decade

Rida Assaf

5 papers receiving 28 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Rida Assaf United States	3	11	8	6	4	2	6	29
Ian Goethert United States	3	7 0.6×	5 0.6×	4 0.7×		4 2.0×	4	24
M. S. Kim Canada	3	5 0.5×	20 2.5×	5 0.8×			4	31
Brian Thorne Australia	3	4 0.4×	16 2.0×	2 0.3×	2 0.5×	2 1.0×	5	23
Trish Whetzel United States	3	4 0.4×	12 1.5×	8 1.3×		1 0.5×	5	18
Claire Vernade United Kingdom	2	14 1.3×	6 0.8×		3 0.8×	6 3.0×	5	15
Greg Strylewicz United States	3	3 0.3×	6 0.8×	4 0.7×			3	28
Trevor S. Frisby United States	3	3 0.3×	5 0.6×	10 1.7×		1 0.5×	4	20
Mohnish Dubey Germany	2	4 0.4×	14 1.8×	2 0.3×	1 0.3×	4 2.0×	3	17
Chimezie Ogbuji United States	4	7 0.6×	23 2.9×	17 2.8×		1 0.5×	5	32
C. Piskor-Ignatowicz Poland	2	5 0.5×	5 0.6×		8 2.0×	1 0.5×	2	18

Countries citing papers authored by Rida Assaf

Since Specialization

Citations

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

Fields of papers citing papers by Rida Assaf

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rida Assaf

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Assaf, Rida, et al.. (2024). Tennis match outcome prediction using machine learning and in-match statistics. 1–3.

2.

Assaf, Rida, et al.. (2022). Dark Matter Subhalo interpretations using machine learning: The fourth Fermi-LAT catalog. Astronomy and Computing. 39. 100566–100566. 2 indexed citations

3.

Assaf, Rida, et al.. (2022). Using Machine Learning to determine the most important features in exoplanet verification. Journal of Student Research. 11(3). 1 indexed citations

4.

Assaf, Rida, Fangfang Xia, & Rick Stevens. (2021). Identifying genomic islands with deep neural networks. BMC Genomics. 22(S3). 281–281. 4 indexed citations

5.

Assaf, Rida, Fangfang Xia, & Rick Stevens. (2021). Detecting operons in bacterial genomes via visual representation learning. Scientific Reports. 11(1). 2124–2124. 6 indexed citations

6.

Assaf, Rida, et al.. (2020). Predicting Stock Movement Using Sentiment Analysis of Twitter Feed with Neural Networks. 8(4). 309–319. 16 indexed citations

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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