Sushma Venkatesh

1.6k citations
41 papers · 788 indexed · h-index 17
Topics
Face recognition and analysis (29 papers)Biometric Identification and Security (28 papers)Face and Expression Recognition (11 papers)
Journals
SHILAP Revista de lepidopterologíaPattern RecognitionPattern Recognition Letters
Partner nations
NorwayIndiaGermany

In The Last Decade

Sushma Venkatesh

38 papers receiving 760 citations

Peers

Sushma Venkatesh
Comparison fields: 5 of 57
  • Computer Vision and Pattern Recognition 653
  • Signal Processing 475
  • Artificial Intelligence 110
  • Neurology 79
  • Information Systems 76
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Charles Otto United States
Ulrich Scherhag Germany
Samarth Bharadwaj India
Andrey Makrushin Germany
Cunjian Chen United States
Nathan D. Kalka United States
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David S. Bolme United States
Dijana Petrovska‐Delacrétaz France
Guowang Mu United States
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Citations per field
00.5×4.4×
Charles Otto · 1×
Citations per year

Countries citing papers authored by Sushma Venkatesh

Since Specialization
Citations

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

Fields of papers citing papers by Sushma Venkatesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sushma Venkatesh

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 3
3 2
4 2
5 2
6 1
7 2
8 11
9 82
10 2
11 79
12 19
13 1
14 4
15 11
16 2
17 130
18 12
19 59
20 20

About Sushma Venkatesh

Sushma Venkatesh is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Information Systems, having authored 41 papers that have together received 788 indexed citations. Recurring topics across this work include Face recognition and analysis (29 papers), Biometric Identification and Security (28 papers) and Face and Expression Recognition (11 papers). The work is most often cited by research in Signal Processing (475 citations), Computer Vision and Pattern Recognition (653 citations) and Neurology (79 citations). Sushma Venkatesh has collaborated with scholars based in Norway, India and Germany. Frequent co-authors include Raghavendra Ramachandra, Christoph Busch, Kiran Raja, Naser Damer, Kiran B. Raja, Haoyu Zhang, Haoyu Zhang, Faouzi Alaya Cheikh, Luuk Spreeuwers and Raymond Veldhuis. Their work appears in journals such as SHILAP Revista de lepidopterología, Pattern Recognition and Pattern Recognition Letters.

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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