Suraya Yaacob

88 total papers · 469 total citations
54 papers, 291 citations indexed

About

Suraya Yaacob is a scholar working on Artificial Intelligence, Management Information Systems and Information Systems. According to data from OpenAlex, Suraya Yaacob has authored 54 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in Management Information Systems and 10 papers in Information Systems. Recurrent topics in Suraya Yaacob's work include Big Data and Business Intelligence (7 papers), Technology Adoption and User Behaviour (6 papers) and Information Technology Governance and Strategy (4 papers). Suraya Yaacob is often cited by papers focused on Big Data and Business Intelligence (7 papers), Technology Adoption and User Behaviour (6 papers) and Information Technology Governance and Strategy (4 papers). Suraya Yaacob collaborates with scholars based in Malaysia, United Kingdom and Pakistan. Suraya Yaacob's co-authors include Nur Azaliah Abu Bakar, M.S. Abdul Majid, Roslina Ibrahim, Noor Hafizah Hassan, R. Nagarajan, M.J.M. Ridzuan, Nor Zairah Ab. Rahim, Nurazean Maarop, A.G. Gibson and Pandian Vasant and has published in prestigious journals such as Journal of the Operational Research Society, Composite Structures and Journal of the Association for Information Systems.

In The Last Decade

Suraya Yaacob

45 papers receiving 278 citations

Author Peers

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

Author						Papers	Cites
Suraya Yaacob	52	49	44	33	32	54	291
Luís Romero	19 0.4×	12 0.2×	30 0.7×	11 0.3×	11 0.3×	26	316
Xia Li	23 0.4×	12 0.2×	20 0.5×	9 0.3×	19 0.6×	53	313
Allam Maalla	63 1.2×	70 1.4×	38 0.9×	10 0.3×	27 0.8×	42	275
Philipp Niemietz	89 1.7×	35 0.7×	83 1.9×	20 0.6×	10 0.3×	26	296
Zuzana Palková	77 1.5×	24 0.5×	16 0.4×	25 0.8×	17 0.5×	46	247
Yuta Taniguchi	20 0.4×	22 0.4×	57 1.3×	13 0.4×	7 0.2×	54	308
Stefan Bosse	99 1.9×	32 0.7×	25 0.6×	28 0.8×	40 1.3×	53	315
Yanjuan Hu	55 1.1×	28 0.6×	16 0.4×	26 0.8×	23 0.7×	26	319
Daniela Borissova	13 0.3×	10 0.2×	39 0.9×	7 0.2×	9 0.3×	56	292
Juan Du	36 0.7×	6 0.1×	13 0.3×	28 0.8×	28 0.9×	43	296

Countries citing papers authored by Suraya Yaacob

Since Specialization

Citations

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

Fields of papers citing papers by Suraya Yaacob

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suraya Yaacob

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