Ebin Deni Raj

897 citations
46 papers · 520 indexed · 1 hit paper · h-index 10
Topics
Complex Network Analysis Techniques (10 papers)Opinion Dynamics and Social Influence (6 papers)Spam and Phishing Detection (5 papers)
Partner nations
IndiaUnited KingdomChina

In The Last Decade

Ebin Deni Raj

36 papers receiving 506 citations

Hit Papers

Deep learning system for paddy plant disease detection an...202220262023202420224080120

Peers

Ebin Deni Raj
Comparison fields: 5 of 91
  • Artificial Intelligence 166
  • Plant Science 133
  • Computer Networks and Communications 119
  • Information Systems 99
  • Analytical Chemistry 62
Replace Komal Kumar Bhatia with:
Komal Kumar Bhatia India
Kalaiarasi Sonai Muthu Anbananthen Malaysia
Claudio Di Sipio Italy
M. Suresha India
Adebayo Abayomi‐Alli Nigeria
Faheem Ahmad Reegu Saudi Arabia
Abdullah M. Baqasah Saudi Arabia
G. Geetha India
Abdulaziz Shehab Egypt
Natasa Sarafijanovic-Djukic Switzerland
Ebin Deni Raj relative to Komal Kumar Bhatia India Komal Kumar Bhatia's profile →
Citations per field
00.5×3.9×
Komal Kumar Bhatia · 1×
Citations per year

Countries citing papers authored by Ebin Deni Raj

Since Specialization
Citations

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

Fields of papers citing papers by Ebin Deni Raj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ebin Deni Raj. 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 Ebin Deni Raj. The network helps show where Ebin Deni Raj may publish in the future.

Co-authorship network of co-authors of Ebin Deni Raj

This figure shows the co-authorship network connecting the top 25 collaborators of Ebin Deni Raj. A scholar is included among the top collaborators of Ebin Deni Raj 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 Ebin Deni Raj. Ebin Deni Raj 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 0
3 0
4 0
5 1
6 2
7 1
8 1
9 1
10 2
11 0
12 66
13 0
14 43
15
Deep learning system for paddy plant disease detection and classificationbreakdown →
136
16 97
17 2
18 1
19 10
20 3

About Ebin Deni Raj

Ebin Deni Raj is a scholar working on Statistical and Nonlinear Physics, Information Systems and Signal Processing, having authored 46 papers that have together received 520 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (10 papers), Opinion Dynamics and Social Influence (6 papers) and Spam and Phishing Detection (5 papers). The work is most often cited by research in Analytical Chemistry (62 citations), Computer Networks and Communications (119 citations) and Artificial Intelligence (166 citations). Ebin Deni Raj has collaborated with scholars based in India, United Kingdom and China. Frequent co-authors include L. D. Dhinesh Babu, Jayakrushna Sahoo, Huifeng Wang, Seifedine Kadry, Gunasekaran Manogaran, Yulei Wu, Gautam Srivastava, Chaofeng Li, M. Joyce Nirmala and Gaurav Jaswal. Their work appears in journals such as Neurocomputing, Applied Soft Computing and Knowledge-Based 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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