A. Krishnaswamy

722 citations
23 papers · 419 · h-index 9

Impact in

    • Face and Expression Recognition
    • Face recognition and analysis
    • Image Retrieval and Classification Techniques
    • Music Technology and Sound Studies
    • Advanced Image and Video Retrieval Techniques
    • Biometric Identification and Security
    • Music and Audio Processing

Papers in

A. Krishnaswamy

23 papers receiving 385 citations

Peers

A. Krishnaswamy
Comparison fields: 5 of 89
  • Computer Vision and Pattern Recognition 281
  • Signal Processing 126
  • Media Technology 42
  • Equine 6
  • Small Animals 16
Replace Alicia Fernández with:
Alicia Fernández Uruguay
Ruimin Hu China
Ryszard S. Choraś Poland
Srinivas Gutta United States
WeiQi Yan Singapore
Shang‐Hung Lin United States
S. Amirhassan Monadjemi Iran
Chao Lan China
S. Arumugam India
Hayato Kobayashi Japan
A. Krishnaswamy relative to Alicia Fernández Uruguay Alicia Fernández's profile →
Citations per field
00.5×4.1×
Alicia Fernández · 1×
Citations per year

Countries citing papers authored by A. Krishnaswamy

Since Specialization
Citations

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

Fields of papers citing papers by A. Krishnaswamy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside A. Krishnaswamy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with A. Krishnaswamy Line = papers co-authored together A. Krishnaswamy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002261
2 200328
3 200422
4 201716
5 200311
6 201310
7 20228
8 20218
9 20148
10 20067
11 19835
12 20185
13 20124
14 20174
15
Factors influencing incidence of lameness in dairy cattle.
20003
16 20033
17 20193
18
Quantitative organ culture: an approach to prediction of tumour response.
19803
19 20093
20 20152

About A. Krishnaswamy

A. Krishnaswamy is a scholar working on Small Animals, Computer Vision and Pattern Recognition, Signal Processing, Management Science and Operations Research and Agronomy and Crop Science, having authored 23 papers that have together received 419 indexed citations. Recurring topics across this work include Music Technology and Sound Studies (4 papers), Auction Theory and Applications (4 papers), Veterinary Medicine and Surgery (4 papers), Music and Audio Processing (4 papers), Experimental Behavioral Economics Studies (2 papers), Neuroendocrine regulation and behavior (2 papers), Neuroscience and Music Perception (2 papers) and Veterinary Orthopedics and Neurology (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (281 citations), Signal Processing (126 citations), Media Technology (42 citations), Equine (6 citations) and Small Animals (16 citations). A. Krishnaswamy has collaborated with scholars based in United States, India and Hungary. Frequent co-authors include Rama Chellappa, Wenyi Zhao, Julius O. Smith, Ashish Goel, Kamesh Munagala, Rajiv Gupta, Siddhartha Banerjee, Radha Krishna Ganti, Kiran Kuchi and Madala Hari Babu. Their work appears in journals such as Operations Research, Theriogenology, Journal of Veterinary Science, PubMed and Proceedings of the AAAI Conference on Artificial Intelligence.

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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