Priyanka Rawat

62 total papers · 1.7k total citations
23 papers, 1.2k citations indexed

About

Priyanka Rawat is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Priyanka Rawat has authored 23 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Networks and Communications, 8 papers in Electrical and Electronic Engineering and 5 papers in Artificial Intelligence. Recurrent topics in Priyanka Rawat's work include Network Traffic and Congestion Control (3 papers), IPv6, Mobility, Handover, Networks, Security (2 papers) and Brain Tumor Detection and Classification (2 papers). Priyanka Rawat is often cited by papers focused on Network Traffic and Congestion Control (3 papers), IPv6, Mobility, Handover, Networks, Security (2 papers) and Brain Tumor Detection and Classification (2 papers). Priyanka Rawat collaborates with scholars based in France, India and Tunisia. Priyanka Rawat's co-authors include Kamal Deep Singh, Hakima Chaouchi, Jean‐Marie Bonnin, Abbas Bradai, Abderrahim Benslimane, Mohamed Atri, Laurent Toutain, Jeremy S. Edwards, Yanghee Choi and Payman Zarkesh-Ha and has published in prestigious journals such as IEEE Access, Schizophrenia Research and Computer Communications.

In The Last Decade

Priyanka Rawat

16 papers receiving 1.1k citations

Hit Papers

Wireless sensor networks:... 2013 2026 2017 2021 2013 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Priyanka Rawat 860 694 104 87 79 23 1.2k
Kebin Liu 957 1.1× 616 0.9× 87 0.8× 67 0.8× 124 1.6× 55 1.3k
Paolo Baronti 814 0.9× 580 0.8× 91 0.9× 136 1.6× 128 1.6× 14 1.1k
Hakima Chaouchi 862 1.0× 657 0.9× 98 0.9× 85 1.0× 85 1.1× 57 1.3k
Daniele Puccinelli 889 1.0× 742 1.1× 63 0.6× 137 1.6× 139 1.8× 46 1.3k
Eddy Bajic 646 0.8× 818 1.2× 56 0.5× 151 1.7× 61 0.8× 24 1.2k
Walid Osamy 1.1k 1.3× 776 1.1× 93 0.9× 109 1.3× 77 1.0× 69 1.4k
Kamal Deep Singh 801 0.9× 580 0.8× 57 0.5× 77 0.9× 58 0.7× 8 1.0k
Abbas Bradai 684 0.8× 653 0.9× 59 0.6× 49 0.6× 71 0.9× 44 1.1k
Stig Petersen 696 0.8× 458 0.7× 92 0.9× 174 2.0× 72 0.9× 41 1.2k
Kais Mekki 626 0.7× 808 1.2× 60 0.6× 151 1.7× 47 0.6× 12 1.0k

Countries citing papers authored by Priyanka Rawat

Since Specialization
Citations

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

Fields of papers citing papers by Priyanka Rawat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Priyanka Rawat

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