Samira Zad

14 total papers · 491 total citations
11 papers, 295 citations indexed

About

Samira Zad is a scholar working on Artificial Intelligence, Sociology and Political Science and Information Systems. According to data from OpenAlex, Samira Zad has authored 11 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 2 papers in Sociology and Political Science and 2 papers in Information Systems. Recurrent topics in Samira Zad's work include Sentiment Analysis and Opinion Mining (6 papers), Advanced Text Analysis Techniques (4 papers) and Text and Document Classification Technologies (3 papers). Samira Zad is often cited by papers focused on Sentiment Analysis and Opinion Mining (6 papers), Advanced Text Analysis Techniques (4 papers) and Text and Document Classification Technologies (3 papers). Samira Zad collaborates with scholars based in United States. Samira Zad's co-authors include Maryam Heidari, James H. Jones, Özlem Uzuner, Masoud Malekzadeh, Setareh Rafatirad and Mark A. Finlayson and has published in prestigious journals such as Griffith Research Online (Griffith University, Queensland, Australia).

In The Last Decade

Samira Zad

11 papers receiving 276 citations

Author Peers

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

Author						Papers	Cites
Samira Zad	200	85	48	33	26	11	295
Jorge Balazs	250 1.3×	77 0.9×	41 0.9×	27 0.8×	32 1.2×	11	364
Stephen R. Poteet	187 0.9×	108 1.3×	47 1.0×	10 0.3×	20 0.8×	9	335
Yozen Liu	253 1.3×	89 1.0×	25 0.5×	13 0.4×	72 2.8×	20	350
Srishti Vashishtha	208 1.0×	72 0.8×	33 0.7×	19 0.6×	28 1.1×	18	292
Fengmei Jin	190 0.9×	54 0.6×	21 0.4×	10 0.3×	14 0.5×	11	253
Ganesh Chandrasekaran	147 0.7×	61 0.7×	43 0.9×	12 0.4×	32 1.2×	11	249
R Rajasree	259 1.3×	104 1.2×	52 1.1×	10 0.3×	34 1.3×	17	349
Mohammed Jabreel	158 0.8×	55 0.6×	117 2.4×	16 0.5×	40 1.5×	22	364
Cosimo Birtolo	87 0.4×	155 1.8×	39 0.8×	16 0.5×	45 1.7×	17	272
Shini Renjith	117 0.6×	106 1.2×	72 1.5×	7 0.2×	31 1.2×	18	270

Countries citing papers authored by Samira Zad

Since Specialization

Citations

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

Fields of papers citing papers by Samira Zad

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samira Zad

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