Jad G. Touma

8 total papers · 928 total citations
5 papers, 792 citations indexed

About

Jad G. Touma is a scholar working on Biomedical Engineering, Control and Systems Engineering and Surgery. According to data from OpenAlex, Jad G. Touma has authored 5 papers receiving a total of 792 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Biomedical Engineering, 2 papers in Control and Systems Engineering and 1 paper in Surgery. Recurrent topics in Jad G. Touma's work include Process Optimization and Integration (2 papers), Innovative Microfluidic and Catalytic Techniques Innovation (2 papers) and Catalysts for Methane Reforming (1 paper). Jad G. Touma is often cited by papers focused on Process Optimization and Integration (2 papers), Innovative Microfluidic and Catalytic Techniques Innovation (2 papers) and Catalysts for Methane Reforming (1 paper). Jad G. Touma collaborates with scholars based in United States, Lebanon and Thailand. Jad G. Touma's co-authors include Nicolas Abdel Karim Aramouni, Belal J. Abu Tarboush, Mohammad N. Ahmad, Joseph Zeaiter, Henri El Zakhem, Samer Aouad, Jane Estephane, Goran Jovanović, Bilal El Khoury and Brian K. Paul and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Chemical Engineering Journal and Journal of Biomedical Materials Research Part B Applied Biomaterials.

In The Last Decade

Jad G. Touma

5 papers receiving 775 citations

Hit Papers

Catalyst design for dry r... 2017 2026 2020 2023 2017 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jad G. Touma 677 672 147 93 83 5 792
Jihui Wang 599 0.9× 489 0.7× 179 1.2× 97 1.0× 90 1.1× 9 721
Toshimasa Utaka 756 1.1× 616 0.9× 207 1.4× 97 1.0× 92 1.1× 13 888
Minhaj Ghouri 492 0.7× 593 0.9× 150 1.0× 207 2.2× 128 1.5× 12 728
S.S. Bharadwaj 692 1.0× 655 1.0× 157 1.1× 131 1.4× 73 0.9× 10 822
Barbara Lorenzut 648 1.0× 487 0.7× 159 1.1× 100 1.1× 142 1.7× 9 772
J.-W. Snoeck 733 1.1× 611 0.9× 173 1.2× 199 2.1× 64 0.8× 6 909
Germán Sierra Gallego 808 1.2× 732 1.1× 108 0.7× 70 0.8× 57 0.7× 15 882
S. Hilaire 777 1.1× 624 0.9× 265 1.8× 64 0.7× 148 1.8× 7 848
Yongtaek Choi 458 0.7× 444 0.7× 164 1.1× 141 1.5× 104 1.3× 9 750
David S. Newsome 588 0.9× 495 0.7× 286 1.9× 170 1.8× 149 1.8× 5 866

Countries citing papers authored by Jad G. Touma

Since Specialization
Citations

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

Fields of papers citing papers by Jad G. Touma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jad G. Touma. 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 Jad G. Touma. The network helps show where Jad G. Touma may publish in the future.

Co-authorship network of co-authors of Jad G. Touma

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

All Works

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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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