Lokesh Setia

405 total citations
12 papers, 226 citations indexed

About

Lokesh Setia is a scholar working on Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Lokesh Setia has authored 12 papers receiving a total of 226 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 2 papers in Computational Theory and Mathematics and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Lokesh Setia's work include Image Retrieval and Classification Techniques (8 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Face and Expression Recognition (3 papers). Lokesh Setia is often cited by papers focused on Image Retrieval and Classification Techniques (8 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Face and Expression Recognition (3 papers). Lokesh Setia collaborates with scholars based in Germany, China and United Kingdom. Lokesh Setia's co-authors include Christian Hölscher, H. Dahmen, Hanspeter A. Mallot, Hans Burkhardt, Alexandra Teynor, Alaa Halawani, Gerd Brunner, Anukool Lakhina, Vineet Bharti and Mark Crovella and has published in prestigious journals such as Journal of Experimental Biology, Pattern Recognition Letters and Machine Vision and Applications.

In The Last Decade

Lokesh Setia

12 papers receiving 210 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Lokesh Setia Germany	6	105	82	68	23	22	12	226
Mathias Franzius Germany	7	173 1.6×	74 0.9×	81 1.2×	10 0.4×	69 3.1×	16	313
Petteri Teikari France	8	77 0.7×	42 0.5×	25 0.4×	8 0.3×	13 0.6×	11	340
Bryson Payne United States	8	251 2.4×	116 1.4×	33 0.5×	6 0.3×	23 1.0×	36	384
Min Song South Korea	10	134 1.3×	61 0.7×	37 0.5×	22 1.0×	25 1.1×	17	329
Edgar Bermudez-Contreras Canada	10	246 2.3×	145 1.8×	27 0.4×	34 1.5×	35 1.6×	17	362
Reto Wyss Switzerland	8	162 1.5×	38 0.5×	31 0.5×	14 0.6×	40 1.8×	11	270
G Ranganathan India	8	126 1.2×	146 1.8×	83 1.2×	6 0.3×	39 1.8×	12	419
I.J. Trotts United States	7	43 0.4×	35 0.4×	101 1.5×	7 0.3×	9 0.4×	7	332
Seymour Knowles-Barley United States	8	53 0.5×	92 1.1×	36 0.5×	9 0.4×	10 0.5×	9	293
Alexis Guanella Switzerland	5	144 1.4×	119 1.5×	18 0.3×	19 0.8×	39 1.8×	6	258

Countries citing papers authored by Lokesh Setia

Since Specialization

Citations

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

Fields of papers citing papers by Lokesh Setia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lokesh Setia

This figure shows the co-authorship network connecting the top 25 collaborators of Lokesh Setia. A scholar is included among the top collaborators of Lokesh Setia 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 Lokesh Setia. Lokesh Setia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

1.

Setia, Lokesh, et al.. (2021). Face Recognition System using Micro Unmanned Aerial Vehicle. Journal of Physics Conference Series. 1845(1). 12043–12043. 3 indexed citations

2.

Bharti, Vineet, et al.. (2010). Inferring invisible traffic. 1–12. 20 indexed citations

3.

Setia, Lokesh, et al.. (2009). Face Recognition Based on Invariant Eigenvectors and Hausdorff Fraction Distance. 453–457. 1 indexed citations

4.

Setia, Lokesh, Alexandra Teynor, Alaa Halawani, & Hans Burkhardt. (2008). Grayscale medical image annotation using local relational features. Pattern Recognition Letters. 29(15). 2039–2045. 14 indexed citations

5.

Setia, Lokesh, et al.. (2008). Using Weighted DCT Spatial Combination Histogram Features for Color Image Retrieval. 25. 388–394. 1 indexed citations

6.

Setia, Lokesh, et al.. (2007). Object-based Color Image Retrieval Using Concentric Circular Invariant Features. 1 indexed citations

7.

Setia, Lokesh, et al.. (2007). Block DCT Vectors Construction for Face Retrieval Based on Genetic Algorithm. 2668. 770–775. 5 indexed citations

8.

Setia, Lokesh & Hans Burkhardt. (2007). Learning Taxonomies in Large Image Databases. 4 indexed citations

9.

Halawani, Alaa, Alexandra Teynor, Lokesh Setia, Gerd Brunner, & Hans Burkhardt. (2006). Fundamentals and Applications of Image Retrieval: An Overview.. Datenbank-Spektrum. 18. 14–23. 18 indexed citations

10.

Setia, Lokesh, Alexandra Teynor, Alaa Halawani, & Hans Burkhardt. (2006). Image classification using cluster cooccurrence matrices of local relational features. 4685. 173–182. 16 indexed citations

11.

Setia, Lokesh, et al.. (2005). SVM-based Relevance Feedback in Image Retrieval using Invariant Feature Histograms.. Machine Vision and Applications. 542–545. 11 indexed citations

12.

Hölscher, Christian, et al.. (2005). Rats are able to navigate in virtual environments. Journal of Experimental Biology. 208(3). 561–569. 132 indexed citations

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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