Sadia Sharif

33 total papers · 436 total citations
14 papers, 279 citations indexed

About

Sadia Sharif is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Sadia Sharif has authored 14 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Networks and Communications, 3 papers in Electrical and Electronic Engineering and 3 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Sadia Sharif's work include Gold and Silver Nanoparticles Synthesis and Applications (2 papers), Parallel Computing and Optimization Techniques (2 papers) and Nanomaterials for catalytic reactions (2 papers). Sadia Sharif is often cited by papers focused on Gold and Silver Nanoparticles Synthesis and Applications (2 papers), Parallel Computing and Optimization Techniques (2 papers) and Nanomaterials for catalytic reactions (2 papers). Sadia Sharif collaborates with scholars based in Pakistan, United States and United Kingdom. Sadia Sharif's co-authors include Praveen Yalagandula, Mike Dahlin, Arun Venkataramani, Doug Burger, Haiming Liu, Ramadass Nagarajan, Madhu Saravana Sibi Govindan, Stephen W. Keckler, Karthikeyan Sankaralingam and Simha Sethumadhavan and has published in prestigious journals such as NeuroImage, Neuroreport and Computer Communications.

In The Last Decade

Sadia Sharif

11 papers receiving 266 citations

Author Peers

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

Author						Papers	Cites
Sadia Sharif	165	102	35	25	21	14	279
Matthew Grove	36 0.2×	29 0.3×	7 0.2×	61 2.4×	19 0.9×	19	264
Zhiliang Qian	185 1.1×	117 1.1×	128 3.7×		5 0.2×	28	296
Yingnan Cui	33 0.2×	35 0.3×	80 2.3×	3 0.1×	2 0.1×	27	298
Carsten Albrecht	110 0.7×	131 1.3×	50 1.4×	1 0.0×	3 0.1×	26	320
Injae Yoo	98 0.6×	20 0.2×	128 3.7×		5 0.2×	14	310
Mingui Zhang	271 1.6×	7 0.1×	198 5.7×	7 0.3×	40 1.9×	20	330
Dacheng Mao	126 0.8×	65 0.6×	101 2.9×		10 0.5×	18	280
Martins Innus	100 0.6×	34 0.3×		26 1.0×	72 3.4×	12	246
Zsolt Talata	19 0.1×	3 0.0×	15 0.4×	13 0.5×	2 0.1×	13	240
Kuan-Yin Chen	81 0.5×	2 0.0×	13 0.4×	28 1.1×	44 2.1×	13	285

Countries citing papers authored by Sadia Sharif

Since Specialization

Citations

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

Fields of papers citing papers by Sadia Sharif

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sadia Sharif

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