Nema Salem

37 total papers · 577 total citations
21 papers, 335 citations indexed

About

Nema Salem is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Nema Salem has authored 21 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 8 papers in Electrical and Electronic Engineering and 5 papers in Artificial Intelligence. Recurrent topics in Nema Salem's work include solar cell performance optimization (3 papers), Photovoltaic System Optimization Techniques (3 papers) and Retinal Imaging and Analysis (2 papers). Nema Salem is often cited by papers focused on solar cell performance optimization (3 papers), Photovoltaic System Optimization Techniques (3 papers) and Retinal Imaging and Analysis (2 papers). Nema Salem collaborates with scholars based in Saudi Arabia, Pakistan and Australia. Nema Salem's co-authors include Sahar Hussein, Khuram Naveed, Mohammad A. U. Khan, Khurram Saleem Alimgeer, Syed S. Naqvi, M. Ali Akbar, Muhammad Irfan Khattak, Nasir Saleem, Ali Raza and Mohsin Raza and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

In The Last Decade

Nema Salem

18 papers receiving 323 citations

Author Peers

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

Author						Papers	Cites
Nema Salem	97	86	54	36	29	21	335
Dokkyun Yi	73 0.8×	64 0.7×	11 0.2×	22 0.6×	44 1.5×	20	299
Yongxing Du	117 1.2×	52 0.6×	28 0.5×	43 1.2×	63 2.2×	36	401
Kazuyuki Hara	80 0.8×	107 1.2×	21 0.4×	24 0.7×	43 1.5×	20	331
Jitong Zhang	213 2.2×	49 0.6×	35 0.6×	35 1.0×	22 0.8×	29	329
Abolfazl Farahani	63 0.6×	128 1.5×	25 0.5×	23 0.6×	19 0.7×	29	356
I. de Zarzà	61 0.6×	82 1.0×	17 0.3×	14 0.4×	27 0.9×	32	352
Yijie Zhang	123 1.3×	125 1.5×	42 0.8×	30 0.8×	40 1.4×	33	401
Lu Zhou	129 1.3×	159 1.8×	22 0.4×	14 0.4×	32 1.1×	37	379
Feng Shao	99 1.0×	75 0.9×	35 0.6×	18 0.5×	18 0.6×	29	306
Xiangyu Lǚ	65 0.7×	103 1.2×	47 0.9×	22 0.6×	30 1.0×	32	332

Countries citing papers authored by Nema Salem

Since Specialization

Citations

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

Fields of papers citing papers by Nema Salem

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nema Salem

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