A. P. SHIVAPRASAD

836 citations
33 papers · 588 indexed · h-index 5
Topics
Sensor Technology and Measurement Systems (7 papers)Analog and Mixed-Signal Circuit Design (7 papers)Advanced Data Compression Techniques (5 papers)
Partner nations
India

In The Last Decade

A. P. SHIVAPRASAD

30 papers receiving 511 citations

Peers

A. P. SHIVAPRASAD
Comparison fields: 5 of 59
  • Computer Vision and Pattern Recognition 494
  • Media Technology 200
  • Artificial Intelligence 124
  • Human-Computer Interaction 58
  • Electrical and Electronic Engineering 43
Replace Ibrahim S. I. Abuhaiba with:
Ibrahim S. I. Abuhaiba Palestinian Territory
A.C. Downton United Kingdom
Kazuki Nakashima Japan
Fatoş T. Yarman-Vural Türkiye
Da-Han Wang China
Luan Ling Lee Brazil
B. Prasada Canada
Nguyen Anh Tu South Korea
Youshou Wu China
A. P. SHIVAPRASAD relative to Ibrahim S. I. Abuhaiba Palestinian Territory Ibrahim S. I. Abuhaiba's profile →
Citations per field
00.5×4.3×
Ibrahim S. I. Abuhaiba · 1×
Citations per year

Countries citing papers authored by A. P. SHIVAPRASAD

Since Specialization
Citations

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

Fields of papers citing papers by A. P. SHIVAPRASAD

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. P. SHIVAPRASAD

This figure shows the co-authorship network connecting the top 25 collaborators of A. P. SHIVAPRASAD. A scholar is included among the top collaborators of A. P. SHIVAPRASAD 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 A. P. SHIVAPRASAD. A. P. SHIVAPRASAD 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
Handwritten script identification using possibilistic approach for cluster analysis
2
2 2
3 153
4 1
5 1
6 0
7 4
8 342
9 1
10 24
11 1
12 3
13 2
14 0
15 3
16 2
17 2
18 7
19 3
20 4

About A. P. SHIVAPRASAD

A. P. SHIVAPRASAD is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Signal Processing, having authored 33 papers that have together received 588 indexed citations. Recurring topics across this work include Sensor Technology and Measurement Systems (7 papers), Analog and Mixed-Signal Circuit Design (7 papers) and Advanced Data Compression Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (494 citations), Media Technology (200 citations) and Human-Computer Interaction (58 citations). A. P. SHIVAPRASAD has collaborated with scholars based in India. Frequent co-authors include V. K. Govindan, Devanita Ghosh, Debraj Ghosh, Girish Krishnan, N. Sai Shankar, Pallapa Venkataram, Debashis Ghosh, G. Mathew, S.V. Narasimhan and S. Panigrahi. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, 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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