Saba Kawas

20 total papers · 558 total citations
18 papers, 340 citations indexed

About

Saba Kawas is a scholar working on Education, Human-Computer Interaction and Information Systems. According to data from OpenAlex, Saba Kawas has authored 18 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Education, 8 papers in Human-Computer Interaction and 6 papers in Information Systems. Recurrent topics in Saba Kawas's work include Child Development and Digital Technology (9 papers), Innovative Human-Technology Interaction (8 papers) and ICT in Developing Communities (3 papers). Saba Kawas is often cited by papers focused on Child Development and Digital Technology (9 papers), Innovative Human-Technology Interaction (8 papers) and ICT in Developing Communities (3 papers). Saba Kawas collaborates with scholars based in United States, Canada and United Kingdom. Saba Kawas's co-authors include Richard E. Ladner, Amy J. Ko, Kristen Shinohara, Katie Davis, Daniela K. Rosner, Mega Subramaniam, Kelly M. Hoffman, Svetlana Yarosh, Ye Yuan and Joshua J. Lawler and has published in prestigious journals such as interactions, The Library Quarterly and International Journal of Child-Computer Interaction.

In The Last Decade

Saba Kawas

17 papers receiving 327 citations

Author Peers

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

Author Last Decade Papers Cites
Saba Kawas 123 93 67 50 48 18 340
Lawrie Phipps 68 0.6× 207 2.2× 61 0.9× 78 1.6× 90 1.9× 25 381
Rachel Menzies 88 0.7× 38 0.4× 111 1.7× 31 0.6× 61 1.3× 20 345
Venkatesh Potluri 139 1.1× 115 1.2× 14 0.2× 46 0.9× 64 1.3× 16 323
Luis Salvador-Ullauri 40 0.3× 136 1.5× 29 0.4× 47 0.9× 35 0.7× 21 307
Kelly Mack 135 1.1× 84 0.9× 13 0.2× 28 0.6× 87 1.8× 30 399
Lauren R. Milne 186 1.5× 132 1.4× 39 0.6× 98 2.0× 47 1.0× 19 397
Émeline Brulé 203 1.7× 21 0.2× 41 0.6× 37 0.7× 39 0.8× 21 361
María José Martínez Segura 45 0.4× 27 0.3× 179 2.7× 44 0.9× 48 1.0× 27 389
Luciana Cabral 183 1.5× 33 0.4× 68 1.0× 12 0.2× 30 0.6× 16 348
Andrew A. Bayor 74 0.6× 63 0.7× 53 0.8× 8 0.2× 108 2.3× 21 299

Countries citing papers authored by Saba Kawas

Since Specialization
Citations

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

Fields of papers citing papers by Saba Kawas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saba Kawas

This figure shows the co-authorship network connecting the top 25 collaborators of Saba Kawas. A scholar is included among the top collaborators of Saba Kawas 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 Saba Kawas. Saba Kawas 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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