Ayesha Maqbool

91 total papers · 863 total citations
69 papers, 579 citations indexed

About

Ayesha Maqbool is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Ayesha Maqbool has authored 69 papers receiving a total of 579 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Information Systems, 9 papers in Artificial Intelligence and 6 papers in Computer Networks and Communications. Recurrent topics in Ayesha Maqbool's work include Software Engineering Research (7 papers), Topic Modeling (6 papers) and Web Data Mining and Analysis (5 papers). Ayesha Maqbool is often cited by papers focused on Software Engineering Research (7 papers), Topic Modeling (6 papers) and Web Data Mining and Analysis (5 papers). Ayesha Maqbool collaborates with scholars based in Pakistan, Türkiye and Saudi Arabia. Ayesha Maqbool's co-authors include Michael Lattke, Thomas Wirth, Bernd Baumann, Farkhanda Afzal, Henri‐Pierre Suso, Tamer A. Ahmed, Maxwell T. Hincke, Deeba Afzal, Vidar R. Jensen and Gry Fluge Vindedal and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Ayesha Maqbool

60 papers receiving 561 citations

Author Peers

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

Author						Papers	Cites
Ayesha Maqbool	92	60	55	52	51	69	579
Lizhen Lin	82 0.9×	7 0.1×	11 0.2×	33 0.6×	164 3.2×	72	689
Qi Yan	60 0.7×	60 1.0×	19 0.3×	23 0.4×	141 2.8×	88	613
Priyanka Mishra	71 0.8×	25 0.4×	40 0.7×	75 1.4×	31 0.6×	55	526
Ya-Shu Chen	136 1.5×	62 1.0×	70 1.3×	13 0.3×	15 0.3×	51	637
Gagandeep Kaur	141 1.5×	21 0.3×	48 0.9×	22 0.4×	31 0.6×	32	589
Liang Cao	94 1.0×	87 1.4×	33 0.6×	5 0.1×	42 0.8×	38	578
Zhixiang Li	161 1.8×	6 0.1×	21 0.4×	16 0.3×	38 0.7×	66	570
Hongxia Liu	39 0.4×	12 0.2×	25 0.5×	178 3.4×	37 0.7×	39	506
Guan‐Wei Chen	120 1.3×	13 0.2×	68 1.2×	24 0.5×	14 0.3×	48	691
Lori A. Dalton	256 2.8×	14 0.2×	27 0.5×	44 0.8×	240 4.7×	47	673

Countries citing papers authored by Ayesha Maqbool

Since Specialization

Citations

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

Fields of papers citing papers by Ayesha Maqbool

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayesha Maqbool

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