Vangipuram Radhakrishna

2.8k citations
77 papers · 2.0k indexed · h-index 30
Topics
Data Mining Algorithms and Applications (41 papers)Time Series Analysis and Forecasting (27 papers)Data Management and Algorithms (23 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE AccessFuture Generation Computer Systems
Partner nations
IndiaJordanNepal

In The Last Decade

Vangipuram Radhakrishna

74 papers receiving 1.9k citations

Peers

Vangipuram Radhakrishna
Comparison fields: 5 of 77
  • Artificial Intelligence 1.0k
  • Information Systems 928
  • Signal Processing 849
  • Computer Networks and Communications 670
  • Computational Theory and Mathematics 241
Replace P. V. Kumar with:
P. V. Kumar India
Bay Vo Vietnam
Asma Belhadi Norway
Geoff Hulten United States
Suyel Namasudra India
Hairong Kuang United States
Konstantin V. Shvachko United States
Bin Yao China
Mustafa Mat Deris Malaysia
Vangipuram Radhakrishna relative to P. V. Kumar India P. V. Kumar's profile →
Citations per field
00.5×10×15×
P. V. Kumar · 1×
Citations per year

Countries citing papers authored by Vangipuram Radhakrishna

Since Specialization
Citations

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

Fields of papers citing papers by Vangipuram Radhakrishna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vangipuram Radhakrishna

This figure shows the co-authorship network connecting the top 25 collaborators of Vangipuram Radhakrishna. A scholar is included among the top collaborators of Vangipuram Radhakrishna 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 Vangipuram Radhakrishna. Vangipuram Radhakrishna 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 2
3 2
4 2
5 43
6 19
7 9
8 14
9 35
10 96
11 24
12
Normal Distribution Based Similarity Profiled Temporal Association Pattern Mining (N-SPAMINE)
29
13 44
14 75
15 27
16 43
17 102
18 21
19 36
20 20

About Vangipuram Radhakrishna

Vangipuram Radhakrishna is a scholar working on Signal Processing, Information Systems and Artificial Intelligence, having authored 77 papers that have together received 2.0k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (41 papers), Time Series Analysis and Forecasting (27 papers) and Data Management and Algorithms (23 papers). The work is most often cited by research in Signal Processing (849 citations), Information Systems (928 citations) and Artificial Intelligence (1.0k citations). Vangipuram Radhakrishna has collaborated with scholars based in India, Jordan and Nepal. Frequent co-authors include Shadi Aljawarneh, P. V. Kumar, V. Janaki, Aravind Cheruvu, Chintakindi Srinivas, C. V. Guru Rao, G. Kumar, N. Rajasekhar, Kim‐Kwang Raymond Choo and J. William Atwood. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Future Generation Computer Systems.

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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