M. Venu Gopalachari

508 citations
22 papers · 194 indexed · h-index 8
Topics
Recommender Systems and Techniques (3 papers)Digital Imaging for Blood Diseases (2 papers)Caching and Content Delivery (2 papers)
Partner nations
IndiaMalaysiaJordan

In The Last Decade

M. Venu Gopalachari

21 papers receiving 182 citations

Peers

M. Venu Gopalachari
Comparison fields: 5 of 54
  • Artificial Intelligence 78
  • Computer Networks and Communications 71
  • Computer Vision and Pattern Recognition 45
  • Neurology 40
  • Electrical and Electronic Engineering 32
Replace Raja Waseem Anwar with:
Raja Waseem Anwar Malaysia
Amit Doegar India
Zhiyuan Xie Hong Kong
Thulasi Bikku India
Abdulaziz M. Alayba Saudi Arabia
J. Jaya India
Shaikh Muhammad Allayear Bangladesh
Radha Raman Chandan India
Hong Ong United States
Congbo Ma Australia
M. Venu Gopalachari relative to Raja Waseem Anwar Malaysia Raja Waseem Anwar's profile →
Citations per field
00.5×1.5×2.0×
Raja Waseem Anwar · 1×
Citations per year

Countries citing papers authored by M. Venu Gopalachari

Since Specialization
Citations

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

Fields of papers citing papers by M. Venu Gopalachari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Venu Gopalachari. 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 M. Venu Gopalachari. The network helps show where M. Venu Gopalachari may publish in the future.

Co-authorship network of co-authors of M. Venu Gopalachari

This figure shows the co-authorship network connecting the top 25 collaborators of M. Venu Gopalachari. A scholar is included among the top collaborators of M. Venu Gopalachari 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 M. Venu Gopalachari. M. Venu Gopalachari 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 15
2 9
3 7
4 23
5 6
6 4
7 15
8 2
9 2
10 1
11 7
12 30
13 5
14 37
15 4
16 2
17 2
18 5
19
A Survey on Semantic Web and KnowledgeProcessing
1
20 6

About M. Venu Gopalachari

M. Venu Gopalachari is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Signal Processing, having authored 22 papers that have together received 194 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (3 papers), Digital Imaging for Blood Diseases (2 papers) and Caching and Content Delivery (2 papers). The work is most often cited by research in Neurology (40 citations), Computer Networks and Communications (71 citations) and Artificial Intelligence (78 citations). M. Venu Gopalachari has collaborated with scholars based in India, Malaysia and Jordan. Frequent co-authors include Ramdas Vankdothu, Ramesh Vatambeti, Manoj Kumar, Gaurav Kumar, Laith Abualigah, Y. Ramadevi, Premkumar Chithaluru, M. Manohar, A. Vinaya Babu and K. Sreenivasa Rao. Their work appears in journals such as IEEE Access, Computers & Electrical Engineering and Complexity.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026