Thahir Mohamed

13 total papers · 641 total citations
8 papers, 112 citations indexed

About

Thahir Mohamed is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Thahir Mohamed has authored 8 papers receiving a total of 112 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Molecular Biology and 3 papers in Information Systems. Recurrent topics in Thahir Mohamed's work include Recommender Systems and Techniques (3 papers), Speech and dialogue systems (3 papers) and Topic Modeling (3 papers). Thahir Mohamed is often cited by papers focused on Recommender Systems and Techniques (3 papers), Speech and dialogue systems (3 papers) and Topic Modeling (3 papers). Thahir Mohamed collaborates with scholars based in United States, Brazil and India. Thahir Mohamed's co-authors include Estevam Hruschka, Tom M. Mitchell, Madhavi K. Ganapathiraju, Christine E. Loscher, Srilakshmi Chaparala, Vishwajit L. Nimgaonkar, Robert A. Sweet, Eileen Bauer, Adam Handen and Saumendra N. Sarkar and has published in prestigious journals such as Schizophrenia, Journal of Bioinformatics and Computational Biology and Frontiers in Big Data.

In The Last Decade

Thahir Mohamed

7 papers receiving 111 citations

Author Peers

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

Author Last Decade Papers Cites
Thahir Mohamed 60 39 17 15 8 8 112
Nina K. Wenke 58 1.0× 54 1.4× 10 0.6× 46 3.1× 5 0.6× 10 221
Rebecca Green 20 0.3× 59 1.5× 18 1.1× 32 2.1× 7 0.9× 12 143
Sky Faber 84 1.4× 31 0.8× 12 0.7× 15 1.0× 7 121
Rebecca Jackson 64 1.1× 202 5.2× 18 1.1× 40 2.7× 2 0.3× 5 268
Tamara Raschka 46 0.8× 118 3.0× 7 0.4× 19 1.3× 12 1.5× 13 234
Matthias Geihs 26 0.4× 64 1.6× 15 0.9× 62 4.1× 2 0.3× 9 146
Alexander K. Hudek 82 1.4× 39 1.0× 28 1.6× 8 0.5× 11 104
Stephen Dignum 110 1.8× 34 0.9× 21 1.2× 7 0.5× 6 132
Arnon Mazza 93 1.6× 67 1.7× 7 0.4× 8 0.5× 8 183
Kevin Livingston 88 1.5× 70 1.8× 17 1.0× 8 0.5× 1 0.1× 13 139

Countries citing papers authored by Thahir Mohamed

Since Specialization
Citations

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

Fields of papers citing papers by Thahir Mohamed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thahir Mohamed

This figure shows the co-authorship network connecting the top 25 collaborators of Thahir Mohamed. A scholar is included among the top collaborators of Thahir Mohamed 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 Thahir Mohamed. Thahir Mohamed 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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2026