Deepak Adhikari

50 total papers · 1.2k total citations
34 papers, 606 citations indexed

About

Deepak Adhikari is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Deepak Adhikari has authored 34 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Networks and Communications, 8 papers in Artificial Intelligence and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Deepak Adhikari's work include IoT and Edge/Fog Computing (4 papers), Anomaly Detection Techniques and Applications (3 papers) and Fish Ecology and Management Studies (3 papers). Deepak Adhikari is often cited by papers focused on IoT and Edge/Fog Computing (4 papers), Anomaly Detection Techniques and Applications (3 papers) and Fish Ecology and Management Studies (3 papers). Deepak Adhikari collaborates with scholars based in China, United States and South Korea. Deepak Adhikari's co-authors include Ellen K. Longmire, Inam Ullah, Wei Jiang, Jinyu Zhan, Brad J. Gemmell, Danda B. Rawat, Zhiyuan He, Eline Boelee, Barbara van Koppen and Habib Ullah Khan and has published in prestigious journals such as Sensors, ACM Computing Surveys and Journal of Experimental Biology.

In The Last Decade

Deepak Adhikari

32 papers receiving 577 citations

Hit Papers

Mobile robot localization... 2024 2026 2024 10 20 30 40

Author Peers

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

Author Last Decade Papers Cites
Deepak Adhikari 127 94 83 81 81 34 606
Yan Chen 114 0.9× 90 1.0× 45 0.5× 35 0.4× 40 0.5× 74 523
Kevin L. Priddy 160 1.3× 39 0.4× 37 0.4× 36 0.4× 99 1.2× 24 645
Yuanyuan Li 76 0.6× 90 1.0× 30 0.4× 86 1.1× 127 1.6× 71 694
Lu Wang 36 0.3× 59 0.6× 43 0.5× 76 0.9× 39 0.5× 85 645
Yi Han 113 0.9× 30 0.3× 38 0.5× 51 0.6× 108 1.3× 31 681
Qiong Chen 134 1.1× 54 0.6× 26 0.3× 22 0.3× 72 0.9× 62 663
Ke Lv 102 0.8× 38 0.4× 31 0.4× 21 0.3× 55 0.7× 86 559
Jingxuan Sun 50 0.4× 50 0.5× 309 3.7× 117 1.4× 42 0.5× 31 650
Yue Gong 125 1.0× 32 0.3× 38 0.5× 34 0.4× 44 0.5× 39 610
Xiaohui Yang 122 1.0× 84 0.9× 51 0.6× 91 1.1× 84 1.0× 71 610

Countries citing papers authored by Deepak Adhikari

Since Specialization
Citations

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

Fields of papers citing papers by Deepak Adhikari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepak Adhikari

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