Hina Shah

61 total papers · 834 total citations
36 papers, 467 citations indexed

About

Hina Shah is a scholar working on Information Systems, Management Information Systems and Periodontics. According to data from OpenAlex, Hina Shah has authored 36 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Information Systems, 4 papers in Management Information Systems and 4 papers in Periodontics. Recurrent topics in Hina Shah's work include Software Engineering Research (11 papers), Software Engineering Techniques and Practices (8 papers) and Dental Health and Care Utilization (4 papers). Hina Shah is often cited by papers focused on Software Engineering Research (11 papers), Software Engineering Techniques and Practices (8 papers) and Dental Health and Care Utilization (4 papers). Hina Shah collaborates with scholars based in United States, Pakistan and India. Hina Shah's co-authors include Mary Jean Harrold, Carsten Görg, Saurabh Sinha, Ludmil B. Alexandrov, Alexandra Dananberg, John Maciejowski, Julian E. Sale, Erik N. Bergstrom, Patrick von Morgen and Yanyang Chen and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Hina Shah

32 papers receiving 435 citations

Author Peers

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

Author						Papers	Cites
Hina Shah	192	97	90	56	55	36	467
José A. Macías	176 0.9×	29 0.3×	17 0.2×	37 0.7×	12 0.2×	55	481
V Evans	201 1.0×	75 0.8×	5 0.1×	118 2.1×	19 0.3×	23	490
Mijung Kim	120 0.6×	73 0.8×	104 1.2×	82 1.5×		50	549
Uzma Raja	125 0.7×	44 0.5×	10 0.1×	24 0.4×	4 0.1×	27	532
Steve Harris	73 0.4×	8 0.1×	233 2.6×	55 1.0×	2 0.0×	29	530
Susan Williams	118 0.6×	3 0.0×	36 0.4×	4 0.1×	23 0.4×	33	550
Mohd Hasan Selamat	220 1.1×	73 0.8×	10 0.1×	42 0.8×	13 0.2×	74	523
Sergio de Cesare	244 1.3×	15 0.2×	15 0.2×	54 1.0×	41 0.7×	56	539
Michael Middleton	98 0.5×	5 0.1×	15 0.2×	9 0.2×	10 0.2×	59	466
Bora Çağlayan	345 1.8×	202 2.1×	7 0.1×	111 2.0×		32	419

Countries citing papers authored by Hina Shah

Since Specialization

Citations

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

Fields of papers citing papers by Hina Shah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hina Shah

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