Lakshin Pathak

34 total papers · 993 total citations
16 papers, 820 citations indexed

About

Lakshin Pathak is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Lakshin Pathak has authored 16 papers receiving a total of 820 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Computer Networks and Communications and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Lakshin Pathak's work include Network Security and Intrusion Detection (3 papers), IoT and Edge/Fog Computing (2 papers) and UAV Applications and Optimization (2 papers). Lakshin Pathak is often cited by papers focused on Network Security and Intrusion Detection (3 papers), IoT and Edge/Fog Computing (2 papers) and UAV Applications and Optimization (2 papers). Lakshin Pathak collaborates with scholars based in India, Iran and Jordan. Lakshin Pathak's co-authors include Mili Virani, Rajesh Gupta, Nilesh Kumar Jadav, Rajesh Kumar Gupta, Jigna J. Hathaliya, Gevork B. Gharehpetian, Rajesh Gupta, R. Sharma, Sudeep Tanwar and Hossein Shahinzadeh and has published in prestigious journals such as International Journal of Innovative Science and Research Technology (IJISRT).

In The Last Decade

Lakshin Pathak

3 papers receiving 4 citations

Hit Papers

Classifying Crop Leaf Dis... 2024 2026 2024 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Lakshin Pathak 73 72 71 70 47 16 820
Supriyanto Supriyanto 74 1.0× 72 1.0× 80 1.1× 75 1.1× 50 1.1× 23 849
Anamika Singh 74 1.0× 71 1.0× 68 1.0× 81 1.2× 47 1.0× 12 874
Anil Kharia 74 1.0× 69 1.0× 70 1.0× 69 1.0× 48 1.0× 15 875
Zhuoyue Wang 72 1.0× 95 1.3× 71 1.0× 71 1.0× 49 1.0× 14 1.0k
Shweta Khare 73 1.0× 69 1.0× 68 1.0× 70 1.0× 50 1.1× 10 864
Nyoman Ariana 72 1.0× 69 1.0× 68 1.0× 72 1.0× 46 1.0× 8 809
Deepika Kanyal 73 1.0× 69 1.0× 68 1.0× 69 1.0× 47 1.0× 7 817
Anjanava Biswas 73 1.0× 83 1.2× 80 1.1× 73 1.0× 48 1.0× 7 851
Wrick Talukdar 73 1.0× 86 1.2× 81 1.1× 73 1.0× 47 1.0× 6 849
Samson Nyang’au Paul 71 1.0× 59 0.8× 53 0.7× 47 0.7× 34 0.7× 16 704

Countries citing papers authored by Lakshin Pathak

Since Specialization
Citations

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

Fields of papers citing papers by Lakshin Pathak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lakshin Pathak

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