Nafees Mansoor

101 total papers · 875 total citations
51 papers, 470 citations indexed

About

Nafees Mansoor is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Information Systems. According to data from OpenAlex, Nafees Mansoor has authored 51 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Networks and Communications, 16 papers in Electrical and Electronic Engineering and 11 papers in Information Systems. Recurrent topics in Nafees Mansoor's work include Cognitive Radio Networks and Spectrum Sensing (14 papers), Advanced MIMO Systems Optimization (10 papers) and Blockchain Technology Applications and Security (8 papers). Nafees Mansoor is often cited by papers focused on Cognitive Radio Networks and Spectrum Sensing (14 papers), Advanced MIMO Systems Optimization (10 papers) and Blockchain Technology Applications and Security (8 papers). Nafees Mansoor collaborates with scholars based in Bangladesh, Malaysia and Mexico. Nafees Mansoor's co-authors include Mahdi Zareei, A. K. M. Muzahidul Islam, Sabariah Baharun, Shozo Komaki, Cesar Vargas‐Rosales, Mohammad Shahriar Rahman, Nabeel Mohammed, Sifat Momen, Asim Zeb and Yoshiaki Katayama and has published in prestigious journals such as IEEE Access, Sensors and Journal of Network and Computer Applications.

In The Last Decade

Nafees Mansoor

44 papers receiving 444 citations

Author Peers

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

Author Last Decade Papers Cites
Nafees Mansoor 309 196 84 46 35 51 470
Hsin‐Hung Cho 279 0.9× 174 0.9× 64 0.8× 44 1.0× 31 0.9× 46 454
M. González-López 265 0.9× 240 1.2× 63 0.8× 49 1.1× 43 1.2× 45 431
Paulo Roberto de Lira Gondim 310 1.0× 208 1.1× 136 1.6× 60 1.3× 52 1.5× 42 539
Kléber V. Cardoso 398 1.3× 250 1.3× 73 0.9× 22 0.5× 21 0.6× 73 508
Florian Zeiger 307 1.0× 125 0.6× 69 0.8× 41 0.9× 39 1.1× 35 444
Lambros Sarakis 347 1.1× 289 1.5× 46 0.5× 43 0.9× 22 0.6× 39 542
Vasco Pereira 317 1.0× 136 0.7× 118 1.4× 55 1.2× 73 2.1× 37 482
Yi‐Wei Ma 246 0.8× 151 0.8× 105 1.3× 51 1.1× 27 0.8× 71 503
Kyungryong Seo 174 0.6× 193 1.0× 120 1.4× 45 1.0× 86 2.5× 42 468
Luis Tello-Oquendo 293 0.9× 306 1.6× 98 1.2× 67 1.5× 33 0.9× 46 545

Countries citing papers authored by Nafees Mansoor

Since Specialization
Citations

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

Fields of papers citing papers by Nafees Mansoor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nafees Mansoor

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