Saad Mahamood

38 total papers · 689 total citations
17 papers, 221 citations indexed

About

Saad Mahamood is a scholar working on Artificial Intelligence, Molecular Biology and Social Psychology. According to data from OpenAlex, Saad Mahamood has authored 17 papers receiving a total of 221 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 1 paper in Molecular Biology and 1 paper in Social Psychology. Recurrent topics in Saad Mahamood's work include Topic Modeling (12 papers), Natural Language Processing Techniques (8 papers) and Speech and dialogue systems (6 papers). Saad Mahamood is often cited by papers focused on Topic Modeling (12 papers), Natural Language Processing Techniques (8 papers) and Speech and dialogue systems (6 papers). Saad Mahamood collaborates with scholars based in United Kingdom, United States and Czechia. Saad Mahamood's co-authors include Ehud Reiter, Dimitra Gkatzia, Miruna Clinciu, Wendy Moncur, Somayajulu Sripada, François Portet, Jim Hunter, Simon Mille, Emiel van Miltenburg and Albert Gatt and has published in prestigious journals such as SHILAP Revista de lepidopterología, AI Communications and Discovery Research Portal (University of Dundee).

In The Last Decade

Saad Mahamood

15 papers receiving 195 citations

Author Peers

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

Author Last Decade Papers Cites
Saad Mahamood 181 31 22 18 12 17 221
Dimitra Gkatzia 221 1.2× 51 1.6× 12 0.5× 32 1.8× 6 0.5× 34 271
Kellie Webster 254 1.4× 31 1.0× 7 0.3× 22 1.2× 7 0.6× 11 325
Jérémie Clos 100 0.6× 30 1.0× 14 0.6× 16 0.9× 14 1.2× 27 219
Nir Ofek 238 1.3× 17 0.5× 31 1.4× 44 2.4× 11 0.9× 15 306
Leilani H. Gilpin 97 0.5× 14 0.5× 16 0.7× 16 0.9× 3 0.3× 13 149
Viet Dac Lai 210 1.2× 20 0.6× 10 0.5× 22 1.2× 11 0.9× 20 281
Ivan Donadello 175 1.0× 31 1.0× 8 0.4× 19 1.1× 7 0.6× 22 252
Jiahua Du 119 0.7× 19 0.6× 15 0.7× 63 3.5× 3 0.3× 13 222
Julia Ive 187 1.0× 53 1.7× 53 2.4× 14 0.8× 28 2.3× 28 232
Luca Soldaini 149 0.8× 18 0.6× 37 1.7× 35 1.9× 35 2.9× 32 199

Countries citing papers authored by Saad Mahamood

Since Specialization
Citations

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

Fields of papers citing papers by Saad Mahamood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saad Mahamood

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