Sumaira Naeem

70 total papers · 993 total citations
47 papers, 751 citations indexed

About

Sumaira Naeem is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Polymers and Plastics. According to data from OpenAlex, Sumaira Naeem has authored 47 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Materials Chemistry, 15 papers in Electrical and Electronic Engineering and 13 papers in Polymers and Plastics. Recurrent topics in Sumaira Naeem's work include Machine Learning in Materials Science (9 papers), Conducting polymers and applications (9 papers) and Organic Electronics and Photovoltaics (8 papers). Sumaira Naeem is often cited by papers focused on Machine Learning in Materials Science (9 papers), Conducting polymers and applications (9 papers) and Organic Electronics and Photovoltaics (8 papers). Sumaira Naeem collaborates with scholars based in Pakistan, Saudi Arabia and China. Sumaira Naeem's co-authors include K. Nadeem, M. Mumtaz, M. Anis-ur-Rehman, Saqib Rahman, Ilse Letofsky‐Papst, Mir Waqas Alam, K. Ramesh, Shahid Bashir, Yin Yin Teo and Basma Souayeh and has published in prestigious journals such as PLoS ONE, Journal of Cleaner Production and Chemical Physics Letters.

In The Last Decade

Sumaira Naeem

38 papers receiving 731 citations

Author Peers

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

Author						Papers	Cites
Sumaira Naeem	372	178	153	136	110	47	751
Ali H. Bashal	351 0.9×	146 0.8×	107 0.7×	137 1.0×	113 1.0×	57	720
Tuyet Nhung Pham	344 0.9×	423 2.4×	152 1.0×	176 1.3×	157 1.4×	42	890
M. Cortez-Valadez	517 1.4×	151 0.8×	162 1.1×	68 0.5×	235 2.1×	62	833
Rajesh Kumar	527 1.4×	134 0.8×	96 0.6×	103 0.8×	286 2.6×	43	906
Ahmed M. Tawfeek	307 0.8×	321 1.8×	163 1.1×	119 0.9×	69 0.6×	56	836
Ramesh Kumar	452 1.2×	269 1.5×	59 0.4×	296 2.2×	175 1.6×	36	854
Hui Zhang	208 0.6×	245 1.4×	99 0.6×	145 1.1×	119 1.1×	52	704
Siba Soren	455 1.2×	178 1.0×	75 0.5×	220 1.6×	131 1.2×	31	718
Mahvish Fatima	474 1.3×	235 1.3×	129 0.8×	180 1.3×	114 1.0×	46	712
Mayank K. Singh	235 0.6×	255 1.4×	226 1.5×	77 0.6×	153 1.4×	33	828

Countries citing papers authored by Sumaira Naeem

Since Specialization

Citations

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

Fields of papers citing papers by Sumaira Naeem

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sumaira Naeem

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