B. Nagaraj

1.6k citations
41 papers · 442 · h-index 13

Impact in

Papers in

B. Nagaraj

39 papers receiving 393 citations

Peers

B. Nagaraj
Comparison fields: 5 of 89
  • Business and International Management 12
  • Control and Systems Engineering 128
  • Computer Vision and Pattern Recognition 78
  • Industrial and Manufacturing Engineering 34
  • Artificial Intelligence 100
Replace P. Ajay with:
P. Ajay India
Thimal Kempitiya Australia
Hassan Muwafaq Gheni Iraq
Sehrish Malik South Korea
Smys S. India
Tonghe Wang China
Yufei Liu China
Lantian Guo China
D. Dhinakaran India
Reshma Banu India
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Citations per field
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Citations per year

Countries citing papers authored by B. Nagaraj

Since Specialization
Citations

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

Fields of papers citing papers by B. Nagaraj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside B. Nagaraj, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with B. Nagaraj Line = papers co-authored together B. Nagaraj links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Tuning Algorithms for PID Controller Using Soft Computing Techniques
200845
2 202141
3 201835
4 202127
5 202023
6 201023
7 202222
8 202121
9 202119
10 202219
11 201318
12 202215
13 201215
14 201812
15 201410
16 201610
17 20149
18 20168
19 20218
20
CONTROLLER TUNING FOR INDUSTRIAL PROCESS-A SOFT COMPUTING APPROACH
20128

About B. Nagaraj

B. Nagaraj is a scholar working on Control and Systems Engineering, Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 41 papers that have together received 442 indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (11 papers), Advanced Control Systems Design (9 papers), Extremum Seeking Control Systems (6 papers), Advanced Algorithms and Applications (3 papers), Network Security and Intrusion Detection (3 papers), Energy Efficient Wireless Sensor Networks (3 papers), Face and Expression Recognition (2 papers) and Nanoparticle-Based Drug Delivery (2 papers). The work is most often cited by research in Business and International Management (12 citations), Control and Systems Engineering (128 citations), Computer Vision and Pattern Recognition (78 citations), Industrial and Manufacturing Engineering (34 citations) and Artificial Intelligence (100 citations). B. Nagaraj has collaborated with scholars based in India, Italy and Taiwan. Frequent co-authors include P. Ajay, P. Vijayakumar, J. Jaya, Danilo Pelusi, Vijayakumar Ponnusamy, Pravin R. Kshirsagar, Rengarajan Amirtharajan, V Thanikaiselvan, Sakshi Patel and R. Arunkumar. Their work appears in journals such as Neural Computing and Applications, International Journal of Machine Learning and Cybernetics, Scientific Reports, Journal of Nanoparticle Research and Indian Journal of Science and Technology.

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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