Mohammad Amir Qureshi

51 total papers · 466 total citations
33 papers, 330 citations indexed

About

Mohammad Amir Qureshi is a scholar working on Surgery, Control and Systems Engineering and Transportation. According to data from OpenAlex, Mohammad Amir Qureshi has authored 33 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 6 papers in Control and Systems Engineering and 6 papers in Transportation. Recurrent topics in Mohammad Amir Qureshi's work include Traffic control and management (6 papers), Transportation Planning and Optimization (6 papers) and Traffic Prediction and Management Techniques (6 papers). Mohammad Amir Qureshi is often cited by papers focused on Traffic control and management (6 papers), Transportation Planning and Optimization (6 papers) and Traffic Prediction and Management Techniques (6 papers). Mohammad Amir Qureshi collaborates with scholars based in India, United Kingdom and United States. Mohammad Amir Qureshi's co-authors include Sapana Jadoun, Nahid Nishat, Lee D. Han, N. Graham, Ho‐Ling Hwang, Shih-Miao Chin, Mark Hansen, Md. Zafaryab, M. Moshahid A. Rizvi and Nithar Ranjan Madhu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Clinical Orthopaedics and Related Research and European Polymer Journal.

In The Last Decade

Mohammad Amir Qureshi

32 papers receiving 314 citations

Author Peers

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

Author Last Decade Papers Cites
Mohammad Amir Qureshi 115 90 59 37 34 33 330
Xinyi Lai 67 0.6× 152 1.7× 56 0.9× 14 0.4× 9 0.3× 24 333
Feng Sun 68 0.6× 59 0.7× 14 0.2× 9 0.2× 4 0.1× 39 361
Iwona Michalska-Pożoga 118 1.0× 78 0.9× 29 0.5× 11 0.3× 2 0.1× 35 325
Witold Sujka 109 0.9× 63 0.7× 41 0.7× 42 1.1× 36 336
Tayebeh Akbari 57 0.5× 109 1.2× 17 0.3× 13 0.4× 21 342
Marcele Fonseca Passos 117 1.0× 132 1.5× 40 0.7× 19 0.5× 26 343
Andrés Bernal-Ballén 146 1.3× 140 1.6× 58 1.0× 35 0.9× 27 323
Mengya Li 144 1.3× 73 0.8× 34 0.6× 46 1.2× 1 0.0× 27 362
Wiratni Wiratni 88 0.8× 86 1.0× 55 0.9× 3 0.1× 26 331
Maryam Nozari 85 0.7× 153 1.7× 15 0.3× 9 0.2× 15 365

Countries citing papers authored by Mohammad Amir Qureshi

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Amir Qureshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad Amir Qureshi. 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 Mohammad Amir Qureshi. The network helps show where Mohammad Amir Qureshi may publish in the future.

Co-authorship network of co-authors of Mohammad Amir Qureshi

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Amir Qureshi. A scholar is included among the top collaborators of Mohammad Amir Qureshi 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 Mohammad Amir Qureshi. Mohammad Amir Qureshi 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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