Doaa Altarawy

3.1k total citations · 1 hit paper
11 papers, 1.9k citations indexed

About

Doaa Altarawy is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Doaa Altarawy has authored 11 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Materials Chemistry and 4 papers in Computational Theory and Mathematics. Recurrent topics in Doaa Altarawy's work include Machine Learning in Materials Science (6 papers), Computational Drug Discovery Methods (4 papers) and Protein Structure and Dynamics (3 papers). Doaa Altarawy is often cited by papers focused on Machine Learning in Materials Science (6 papers), Computational Drug Discovery Methods (4 papers) and Protein Structure and Dynamics (3 papers). Doaa Altarawy collaborates with scholars based in United States, Egypt and Germany. Doaa Altarawy's co-authors include Benjamin P. Pritchard, Theresa L. Windus, Brett Didier, Tara Gibson, Daniel G. A. Smith, Justin M. Turney, Henry F. Schaefer, T. Daniel Crawford, Lori A. Burns and Sam Ellis and has published in prestigious journals such as The Journal of Chemical Physics, PLoS ONE and BMC Bioinformatics.

In The Last Decade

Doaa Altarawy

11 papers receiving 1.8k citations

Hit Papers

New Basis Set Exchange: An Open, Up-to-Date Resource for ... 2019 2026 2021 2023 2019 500 1000 1.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. New Basis Set Exchange: An Open, Up-to-Date Resource for the Molecular Sciences Community
    2019 1.6k citations Benjamin P. Pritchard, Doaa Altarawy et al. Journal of Chemical Information and Modeling profile →

Peers

Doaa Altarawy
Benjamin P. Pritchard United States
Hagen Neugebauer Germany
Tara Gibson United States
Asim Najibi Australia
Steven R. Kirk China
Shaohong Li China
Arnim Hellweg Germany
Sebastian Höfener Germany
Manuel Sparta Norway
Haoyu S. Yu United States
Benjamin P. Pritchard United States
Doaa Altarawy
Citations per year, relative to Doaa Altarawy Doaa Altarawy (= 1×) peers Benjamin P. Pritchard

Countries citing papers authored by Doaa Altarawy

Since Specialization
Citations

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

Fields of papers citing papers by Doaa Altarawy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Doaa Altarawy

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

All Works

11 of 11 papers shown
1.
Zhang, Jingyi, et al.. (2021). Developmental gene regulatory network connections predicted by machine learning from gene expression data alone. PLoS ONE. 16(12). e0261926–e0261926. 4 indexed citations
2.
Smith, Daniel G. A., Doaa Altarawy, Lori A. Burns, et al.. (2020). The MolSSI QCA rchive project: An open‐source platform to compute, organize, and share quantum chemistry data. Wiley Interdisciplinary Reviews Computational Molecular Science. 11(2). 58 indexed citations
3.
Haghighatlari, Mojtaba, et al.. (2020). ChemML : A machine learning and informatics program package for the analysis, mining, and modeling of chemical and materials data. Wiley Interdisciplinary Reviews Computational Molecular Science. 10(4). 46 indexed citations
4.
Mendenhall, Jeffrey, et al.. (2019). BCL::Mol2D—a robust atom environment descriptor for QSAR modeling and lead optimization. Journal of Computer-Aided Molecular Design. 33(5). 477–486. 6 indexed citations
5.
Hoops, Stefan, Doaa Altarawy, Jane Glazebrook, et al.. (2019). PlantSimLab - a modeling and simulation web tool for plant biologists. BMC Bioinformatics. 20(1). 508–508. 5 indexed citations
6.
Turney, Justin M., et al.. (2019). PES-Learn: An Open-Source Software Package for the Automated Generation of Machine Learning Models of Molecular Potential Energy Surfaces. Journal of Chemical Theory and Computation. 15(8). 4386–4398. 62 indexed citations
7.
Pritchard, Benjamin P., Doaa Altarawy, Brett Didier, Tara Gibson, & Theresa L. Windus. (2019). New Basis Set Exchange: An Open, Up-to-Date Resource for the Molecular Sciences Community. Journal of Chemical Information and Modeling. 59(11). 4814–4820. 1586 indexed citations breakdown →
8.
Altarawy, Doaa, et al.. (2019). Janus: An Extensible Open-Source Software Package for Adaptive QM/MM Methods. Journal of Chemical Theory and Computation. 15(8). 4362–4373. 10 indexed citations
9.
Altarawy, Doaa, et al.. (2018). Lascad : Language-agnostic software categorization and similar application detection. Journal of Systems and Software. 142. 21–34. 15 indexed citations
10.
Krylov, Anna I., Theresa L. Windus, Taylor Barnes, et al.. (2018). Perspective: Computational chemistry software and its advancement as illustrated through three grand challenge cases for molecular science. The Journal of Chemical Physics. 149(18). 180901–180901. 60 indexed citations
11.
Altarawy, Doaa, Fatma-Elzahraa Eid, & Lenwood S. Heath. (2017). PEAK: Integrating Curated and Noisy Prior Knowledge in Gene Regulatory Network Inference. Journal of Computational Biology. 24(9). 863–873. 3 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Benjamin P. Pritchard Breakdown of academic impact, for papers by Hagen Neugebauer Breakdown of academic impact, for papers by Tara Gibson Breakdown of academic impact, for papers by Asim Najibi Breakdown of academic impact, for papers by Steven R. Kirk Breakdown of academic impact, for papers by Shaohong Li Breakdown of academic impact, for papers by Arnim Hellweg Breakdown of academic impact, for papers by Sebastian Höfener Breakdown of academic impact, for papers by Manuel Sparta Breakdown of academic impact, for papers by Haoyu S. Yu
Rankless by CCL
2026