Preeti Bajaj

169 total papers · 1.5k total citations
95 papers, 979 citations indexed

About

Preeti Bajaj is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Preeti Bajaj has authored 95 papers receiving a total of 979 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 16 papers in Artificial Intelligence and 15 papers in Computer Networks and Communications. Recurrent topics in Preeti Bajaj's work include Embedded Systems Design Techniques (9 papers), Neural Networks and Applications (9 papers) and Sleep and Work-Related Fatigue (8 papers). Preeti Bajaj is often cited by papers focused on Embedded Systems Design Techniques (9 papers), Neural Networks and Applications (9 papers) and Sleep and Work-Related Fatigue (8 papers). Preeti Bajaj collaborates with scholars based in India, United States and Germany. Preeti Bajaj's co-authors include James L. Patton, Robert A. Scheidt, Prema Daigavane, Rahul Agrawal, Ajith Abraham, Latesh Malik, Richard G. Spencer, Kenneth W. Fishbein, Avadhesha Surolia and K. Suguna and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and FEBS Letters.

In The Last Decade

Preeti Bajaj

85 papers receiving 896 citations

Author Peers

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

Author Last Decade Papers Cites
Preeti Bajaj 202 178 174 166 124 95 979
Duygun Erol Barkana 88 0.4× 165 0.9× 314 1.8× 62 0.4× 84 0.7× 81 923
Darius Nahavandi 186 0.9× 95 0.5× 246 1.4× 47 0.3× 154 1.2× 64 1.2k
Sašo Tomažič 206 1.0× 257 1.4× 250 1.4× 44 0.3× 45 0.4× 90 1.2k
Florica Moldoveanu 254 1.3× 318 1.8× 69 0.4× 180 1.1× 24 0.2× 152 1.1k
Heejin Jeong 203 1.0× 96 0.5× 139 0.8× 41 0.2× 83 0.7× 96 1.0k
Dzmitry Tsetserukou 333 1.6× 244 1.4× 182 1.0× 54 0.3× 48 0.4× 127 1.0k
Jaka Sodnik 151 0.7× 296 1.7× 89 0.5× 103 0.6× 207 1.7× 77 1.1k
SeungJun Kim 219 1.1× 253 1.4× 46 0.3× 132 0.8× 115 0.9× 88 1.0k
Gang Li 81 0.4× 293 1.6× 153 0.9× 263 1.6× 54 0.4× 56 892
Rogelio Bustamante-Bello 76 0.4× 43 0.2× 137 0.8× 68 0.4× 105 0.8× 72 882

Countries citing papers authored by Preeti Bajaj

Since Specialization
Citations

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

Fields of papers citing papers by Preeti Bajaj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Preeti Bajaj

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