Lakshin Pathak

994 total citations · 1 hit paper
17 papers, 824 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 17 papers receiving a total of 824 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), UAV Applications and Optimization (3 papers) and Smart Grid Security and Resilience (2 papers). Lakshin Pathak is often cited by papers focused on Network Security and Intrusion Detection (3 papers), UAV Applications and Optimization (3 papers) and Smart Grid Security and Resilience (2 papers). Lakshin Pathak collaborates with scholars based in India, Iran and Jordan. Lakshin Pathak's co-authors include Mili Virani, Gevork B. Gharehpetian, Mohammad S. Obaidat, Sudeep Tanwar, Nilesh Kumar Jadav, R. Sharma, Rajesh Kumar Gupta, Jigna J. Hathaliya, Hossein Shahinzadeh and Rajesh Gupta and has published in prestigious journals such as International Journal of Innovative Science and Research Technology (IJISRT).

In The Last Decade

Lakshin Pathak

4 papers receiving 5 citations

Hit Papers

Classifying Crop Leaf Diseases using Different Deep Learn... 2024 2026 2025 2024 250 500 750

Peers

Lakshin Pathak
Nyoman Ariana Indonesia
Anjanava Biswas United States
Wrick Talukdar United States
Lakshin Pathak
Citations per year, relative to Lakshin Pathak Lakshin Pathak (= 1×) peers Mili Virani

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

17 of 17 papers shown
3.
Pathak, Lakshin, et al.. (2024). Teaching AI to Summarize Like a Human: AReinforcement Learning Experiment. International Journal of Innovative Science and Research Technology (IJISRT). 2360–2365. 1 indexed citations
4.
Pathak, Lakshin, et al.. (2024). Molecular Classification with Graph ConvolutionalNetworks: Exploring the MUTAG Dataset for Mutagenicity Prediction. International Journal of Innovative Science and Research Technology (IJISRT). 2545–2550. 2 indexed citations
5.
Pathak, Lakshin, et al.. (2024). Glasses Detection from Human Face Images. International Journal of Innovative Science and Research Technology (IJISRT). 1152–1158. 1 indexed citations
7.
Pathak, Lakshin, Mili Virani, Mohammad S. Obaidat, et al.. (2024). A Transfer Learning-Based Intelligent Judiciary System for Public Safety. 1–6. 1 indexed citations
8.
Pathak, Lakshin, et al.. (2024). Software Engineering for IoT. International Journal of Innovative Science and Research Technology (IJISRT). 984–991. 1 indexed citations
9.
Pathak, Lakshin, et al.. (2024). Machine Learning for Threat Detection in Softwares. International Journal of Innovative Science and Research Technology (IJISRT). 2402–2413. 5 indexed citations
10.
Pathak, Lakshin, et al.. (2024). Representation of Vending Device using Finite State Automata. International Journal of Innovative Science and Research Technology (IJISRT). 1239–1245. 1 indexed citations
11.
Pathak, Lakshin, et al.. (2024). Character-Level Text Generation for Shakespearean Style with LSTMs. International Journal of Innovative Science and Research Technology (IJISRT). 1425–1431. 1 indexed citations
13.
Pathak, Lakshin, et al.. (2024). Real-Time Human Profiling: Unveiling Age, Gender and Emotions Using Deep Learning. International Journal of Innovative Science and Research Technology (IJISRT). 1265–1271. 1 indexed citations
14.
Pathak, Lakshin, et al.. (2024). Intrusion Detection and Prevention Systems for Ad-Hoc Networks. International Journal of Innovative Science and Research Technology (IJISRT). 1543–1550. 1 indexed citations
15.
Pathak, Lakshin, et al.. (2024). Classifying Crop Leaf Diseases using Different Deep Learning Models with Transfer Learning. International Journal of Innovative Science and Research Technology (IJISRT). 1316–1323. 809 indexed citations breakdown →
16.
Pathak, Lakshin, et al.. (2024). Advancing UAV Security with ALBERT: A Novel Attack Classification Approach. International Journal of Innovative Science and Research Technology (IJISRT). 2629–2633.

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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