Maria Latif

12 total papers · 400 total citations
10 papers, 288 citations indexed

About

Maria Latif is a scholar working on Water Science and Technology, Pollution and Geochemistry and Petrology. According to data from OpenAlex, Maria Latif has authored 10 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Water Science and Technology, 3 papers in Pollution and 3 papers in Geochemistry and Petrology. Recurrent topics in Maria Latif's work include Water Quality and Pollution Assessment (4 papers), Nanoparticles: synthesis and applications (3 papers) and Heavy metals in environment (3 papers). Maria Latif is often cited by papers focused on Water Quality and Pollution Assessment (4 papers), Nanoparticles: synthesis and applications (3 papers) and Heavy metals in environment (3 papers). Maria Latif collaborates with scholars based in Pakistan, Saudi Arabia and China. Maria Latif's co-authors include Amal M. Ibrahim, Rab Nawaz, Muhammad Atif Irshad, Ali Irfan, Shafaqat Ali, Ameer Fawad Zahoor, Sami A. Al‐Hussain, Amjad Islam, Riaz Ullah and Magdi E. A. Zaki and has published in prestigious journals such as Scientific Reports, Sustainability and Ecotoxicology and Environmental Safety.

In The Last Decade

Maria Latif

10 papers receiving 273 citations

Author Peers

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

Author Last Decade Papers Cites
Maria Latif 186 67 47 38 37 10 288
Yalçın Güneş 198 1.1× 62 0.9× 47 1.0× 53 1.4× 43 1.2× 22 317
Victor E. Ojukwu 159 0.9× 49 0.7× 48 1.0× 39 1.0× 60 1.6× 6 290
Nataša Karić 148 0.8× 46 0.7× 37 0.8× 32 0.8× 56 1.5× 9 307
Yaoming Su 148 0.8× 48 0.7× 51 1.1× 31 0.8× 44 1.2× 18 329
S Priyadharshini 189 1.0× 73 1.1× 67 1.4× 36 0.9× 38 1.0× 20 327
Ilyasse Loulidi 226 1.2× 60 0.9× 42 0.9× 54 1.4× 67 1.8× 16 328
Lata Verma 232 1.2× 52 0.8× 44 0.9× 20 0.5× 46 1.2× 11 326
Mohd Danish 192 1.0× 39 0.6× 34 0.7× 21 0.6× 42 1.1× 19 303
Chaimaa Hadey 202 1.1× 53 0.8× 34 0.7× 52 1.4× 63 1.7× 12 300
Manju Rawat Ranjan 163 0.9× 35 0.5× 26 0.6× 23 0.6× 45 1.2× 9 277

Countries citing papers authored by Maria Latif

Since Specialization
Citations

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

Fields of papers citing papers by Maria Latif

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Latif

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