K. S. Nagla

37 total papers · 417 total citations
27 papers, 285 citations indexed

About

K. S. Nagla is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, K. S. Nagla has authored 27 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Aerospace Engineering, 15 papers in Computer Vision and Pattern Recognition and 7 papers in Electrical and Electronic Engineering. Recurrent topics in K. S. Nagla's work include Robotics and Sensor-Based Localization (21 papers), Robotic Path Planning Algorithms (10 papers) and Underwater Vehicles and Communication Systems (6 papers). K. S. Nagla is often cited by papers focused on Robotics and Sensor-Based Localization (21 papers), Robotic Path Planning Algorithms (10 papers) and Underwater Vehicles and Communication Systems (6 papers). K. S. Nagla collaborates with scholars based in India and Pakistan. K. S. Nagla's co-authors include Archana Khurana, Moin Uddin, Dilbag Singh, Sanjay Yadav, Subrata Ghosh, N. Garg, A. Mukhopadhyay, D. K. Aswal, Raj Kumar Singh and H. N. Singh and has published in prestigious journals such as Robotics and Autonomous Systems, Journal of Intelligent & Robotic Systems and Journal of Tissue Viability.

In The Last Decade

K. S. Nagla

26 papers receiving 274 citations

Author Peers

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

Author Last Decade Papers Cites
K. S. Nagla 145 137 52 41 35 27 285
Francisco J. Pérez-Grau 194 1.3× 132 1.0× 81 1.6× 50 1.2× 40 1.1× 18 323
Byungjae Park 140 1.0× 160 1.2× 52 1.0× 47 1.1× 19 0.5× 32 279
Arturo Torres‐González 176 1.2× 113 0.8× 79 1.5× 25 0.6× 51 1.5× 23 296
Ruben Mascaro 174 1.2× 141 1.0× 59 1.1× 37 0.9× 22 0.6× 12 292
MD. Faiyaz Ahmed 126 0.9× 114 0.8× 48 0.9× 44 1.1× 11 0.3× 15 312
Favio R. Masson 133 0.9× 121 0.9× 76 1.5× 43 1.0× 19 0.5× 31 273
Daniel Oliva Sales 92 0.6× 140 1.0× 38 0.7× 55 1.3× 15 0.4× 21 253
Janusz Będkowski 161 1.1× 127 0.9× 30 0.6× 39 1.0× 22 0.6× 51 268
Sergio Rodríguez 144 1.0× 161 1.2× 72 1.4× 17 0.4× 23 0.7× 29 275
Dušan Nemec 97 0.7× 63 0.5× 65 1.3× 70 1.7× 17 0.5× 37 261

Countries citing papers authored by K. S. Nagla

Since Specialization
Citations

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

Fields of papers citing papers by K. S. Nagla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. S. Nagla. 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 K. S. Nagla. The network helps show where K. S. Nagla may publish in the future.

Co-authorship network of co-authors of K. S. Nagla

This figure shows the co-authorship network connecting the top 25 collaborators of K. S. Nagla. A scholar is included among the top collaborators of K. S. Nagla 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 K. S. Nagla. K. S. Nagla 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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