Nagaraju Devarakonda

651 citations
50 papers · 342 indexed · h-index 10
Topics
Metaheuristic Optimization Algorithms Research (18 papers)Network Security and Intrusion Detection (10 papers)Advanced Malware Detection Techniques (9 papers)
Journals
SHILAP Revista de lepidopterologíaKnowledge-Based SystemsMultimedia Tools and Applications
Partner nations
IndiaSri LankaItaly

In The Last Decade

Nagaraju Devarakonda

48 papers receiving 320 citations

Peers

Nagaraju Devarakonda
Comparison fields: 5 of 70
  • Artificial Intelligence 204
  • Computer Vision and Pattern Recognition 87
  • Computer Networks and Communications 83
  • Signal Processing 50
  • Control and Systems Engineering 36
Replace V. Susheela Devi with:
V. Susheela Devi India
Prabhjot Kaur India
Adel Sabry Eesa Iraq
Rémi Domingues France
Matthias Reif Germany
David Escudero García Spain
Diaa Salama Abd Elminaam Egypt
P. Thangaraj India
Sasmita Padhy India
Nagaraju Devarakonda relative to V. Susheela Devi India V. Susheela Devi's profile →
Citations per field
00.5×7.5×
V. Susheela Devi · 1×
Citations per year

Countries citing papers authored by Nagaraju Devarakonda

Since Specialization
Citations

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

Fields of papers citing papers by Nagaraju Devarakonda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nagaraju Devarakonda

This figure shows the co-authorship network connecting the top 25 collaborators of Nagaraju Devarakonda. A scholar is included among the top collaborators of Nagaraju Devarakonda 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 Nagaraju Devarakonda. Nagaraju Devarakonda 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 1
2 2
3 0
4 1
5 23
6 3
7 10
8 1
9 15
10 2
11 5
12 1
13 2
14 1
15 5
16 2
17 11
18 16
19 1
20
Integrated Bayes Network and Hidden Markov Model for Host based IDS
2

About Nagaraju Devarakonda

Nagaraju Devarakonda is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition, having authored 50 papers that have together received 342 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (18 papers), Network Security and Intrusion Detection (10 papers) and Advanced Malware Detection Techniques (9 papers). The work is most often cited by research in Artificial Intelligence (204 citations), Signal Processing (50 citations) and Computer Vision and Pattern Recognition (87 citations). Nagaraju Devarakonda has collaborated with scholars based in India, Sri Lanka and Italy. Frequent co-authors include V. Valli Kumari, A. Govardhan, Nabendu Chaki, Agostino Cortesi, K. Ram Mohan Rao and Yingxu Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, Knowledge-Based Systems and Multimedia Tools and Applications.

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