B. Venkatesh

960 citations
20 papers · 475 indexed · 1 hit paper · h-index 5
Topics
Heat Transfer and Optimization (3 papers)Face and Expression Recognition (3 papers)Refrigeration and Air Conditioning Technologies (3 papers)
Partner nations
IndiaSaudi ArabiaLebanon

In The Last Decade

B. Venkatesh

13 papers receiving 454 citations

Hit Papers

A Review of Feature Selection and Its Methods20192026202120232019100200300400

Peers

B. Venkatesh
Comparison fields: 5 of 116
  • Artificial Intelligence 202
  • Computer Vision and Pattern Recognition 74
  • Information Systems 59
  • Computer Networks and Communications 48
  • Signal Processing 39
Replace Utkarsh Mahadeo Khaire with:
Utkarsh Mahadeo Khaire India
Mahmoud B. Alhasanat Jordan
Sanjukta De India
Srishti Verma India
Muhammad Kashif Hanif Pakistan
Yangguang Liu China
Abir Smiti Tunisia
Zhenyun Deng China
Hassan Ramchoun Morocco
Mohammad Taheri Iran
B. Venkatesh relative to Utkarsh Mahadeo Khaire India Utkarsh Mahadeo Khaire's profile →
Citations per field
00.5×1.6×
Utkarsh Mahadeo Khaire · 1×
Citations per year

Countries citing papers authored by B. Venkatesh

Since Specialization
Citations

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

Fields of papers citing papers by B. Venkatesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of B. Venkatesh

This figure shows the co-authorship network connecting the top 25 collaborators of B. Venkatesh. A scholar is included among the top collaborators of B. 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 B. Venkatesh. B. 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
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2 0
3 2
4 1
5 3
6 1
7 1
8 9
9 2
10 4
11 2
12 2
13 8
14 6
15 0
16
A Review of Feature Selection and Its Methodsbreakdown →
423
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18 1
19 10
20
Protective effect of L-35, a herbal formulation, against isoniazid induced hepatotoxicity in rats.
0

About B. Venkatesh

B. Venkatesh is a scholar working on Computer Vision and Pattern Recognition, Building and Construction and Artificial Intelligence, having authored 20 papers that have together received 475 indexed citations. Recurring topics across this work include Heat Transfer and Optimization (3 papers), Face and Expression Recognition (3 papers) and Refrigeration and Air Conditioning Technologies (3 papers). The work is most often cited by research in Health Information Management (30 citations), Artificial Intelligence (202 citations) and Signal Processing (39 citations). B. Venkatesh has collaborated with scholars based in India, Saudi Arabia and Lebanon. Frequent co-authors include J. Anuradha, Susobhan Neogi, S.S. Sivasankaran, J. Chinna Babu, Ajmeera Kiran, Babita Sharma, Mudassir Khan, Bayan Alabduallah, Surbhi Bhatia and Mohammad Khalid Imam Rahmani. Their work appears in journals such as PLoS ONE, Processes and Journal of Testing and Evaluation.

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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