Rohana Mahmud

37 total papers · 565 total citations
25 papers, 336 citations indexed

About

Rohana Mahmud is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Rohana Mahmud has authored 25 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 3 papers in Information Systems and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Rohana Mahmud's work include Topic Modeling (12 papers), Natural Language Processing Techniques (9 papers) and Text and Document Classification Technologies (5 papers). Rohana Mahmud is often cited by papers focused on Topic Modeling (12 papers), Natural Language Processing Techniques (9 papers) and Text and Document Classification Technologies (5 papers). Rohana Mahmud collaborates with scholars based in Malaysia, Pakistan and Nigeria. Rohana Mahmud's co-authors include Norisma Idris, Ahmed Al-Hunaiyyan, Ram Gopal Raj, Andrew Thomas Bimba, Liyana Shuib, Salinah Ja’afar, Abdullah Gani, Dirk Thorleuchter, Shahrul Azman Mohd Noah and M. E. Abo and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and IEEE Access.

In The Last Decade

Rohana Mahmud

23 papers receiving 316 citations

Author Peers

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

Author						Papers	Cites
Rohana Mahmud	193	76	37	32	31	25	336
Zeynel Cebecí	86 0.4×	72 0.9×	78 2.1×	12 0.4×	37 1.2×	31	367
Andreas Vlachidis	108 0.6×	75 1.0×	16 0.4×	6 0.2×	47 1.5×	24	304
Athanasios Manitsaris	43 0.2×	57 0.8×	29 0.8×	27 0.8×	28 0.9×	39	325
M. J. Coombs	196 1.0×	64 0.8×	26 0.7×	49 1.5×	31 1.0×	23	377
Avron Barr	194 1.0×	53 0.7×	17 0.5×	34 1.1×	56 1.8×	24	374
Marianne Lykke	128 0.7×	132 1.7×	36 1.0×	29 0.9×	49 1.6×	57	329
Vassilis Poulopoulos	86 0.4×	111 1.5×	19 0.5×	12 0.4×	42 1.4×	50	343
Simone Braun	103 0.5×	86 1.1×	27 0.7×	44 1.4×	54 1.7×	35	369
Hongzhi Yang	145 0.8×	70 0.9×	119 3.2×	53 1.7×	40 1.3×	33	393
Esther Kaufmann	195 1.0×	69 0.9×	37 1.0×	15 0.5×	15 0.5×	22	362

Countries citing papers authored by Rohana Mahmud

Since Specialization

Citations

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

Fields of papers citing papers by Rohana Mahmud

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rohana Mahmud

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