N. Bhat

1.1k total citations · 1 hit paper
8 papers, 811 citations indexed

About

N. Bhat is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Networks and Communications. According to data from OpenAlex, N. Bhat has authored 8 papers receiving a total of 811 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Control and Systems Engineering and 1 paper in Computer Networks and Communications. Recurrent topics in N. Bhat's work include Fault Detection and Control Systems (6 papers), Neural Networks and Applications (6 papers) and Advanced Control Systems Optimization (5 papers). N. Bhat is often cited by papers focused on Fault Detection and Control Systems (6 papers), Neural Networks and Applications (6 papers) and Advanced Control Systems Optimization (5 papers). N. Bhat collaborates with scholars based in United States and India. N. Bhat's co-authors include Thomas J. McAvoy, Sunil Kumar, Sandeep Sagar, Prasad B. Honnavalli and Sunil Kumar and has published in prestigious journals such as IEEE Access, Computers & Chemical Engineering and International Journal of Innovative Technology and Exploring Engineering.

In The Last Decade

N. Bhat

7 papers receiving 754 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Use of neural nets for dynamic modeling and control of chemical process systems

1990 516 citations N. Bhat, Thomas J. McAvoy Computers & Chemical Engineering profile →

Peers

N. Bhat

CSE

AI

ME

AC

BE

M.J. Willis United Kingdom

M.T. Tham United Kingdom

C. Di Massimo United Kingdom

Richard S. H. Mah United States

Chenliang Liu China

Monika Agarwal Switzerland

Xiangguang Chen China

Coleman Brosilow United States

Hannu Koivisto Finland

Abhay B. Bulsari Finland

M.J. Willis United Kingdom

N. Bhat

519 ×0.9

CSE

294 ×0.7

AI

109 ×1.0

ME

101 ×1.2

AC

51 ×1.1

BE

Citations per year, relative to N. Bhat N. Bhat (= 1×) peers M.J. Willis

Countries citing papers authored by N. Bhat

Since Specialization

Citations

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

Fields of papers citing papers by N. Bhat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N. Bhat

This figure shows the co-authorship network connecting the top 25 collaborators of N. Bhat. A scholar is included among the top collaborators of N. Bhat 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 N. Bhat. N. Bhat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Bhat, N., et al.. (2024). Optimization of Reinforcement Learning Using Quantum Computation. IEEE Access. 12. 179396–179417. 1 indexed citations

2.

Bhat, N., et al.. (2019). Decision Tree: A Machine Learning for Intrusion Detection. International Journal of Innovative Technology and Exploring Engineering. 8(6S4). 1126–1130. 11 indexed citations

3.

Bhat, N., et al.. (2002). Adaptive control with NeuCOP, the neural control and optimization package. 4. 2389–2393.

4.

Bhat, N., et al.. (1992). Integrating Neural Networks with First Principles Models for Dynamic Modeling. IFAC Proceedings Volumes. 25(5). 327–332. 50 indexed citations

5.

Bhat, N. & Thomas J. McAvoy. (1992). determining model structure for neural models by network stripping. Computers & Chemical Engineering. 16(4). 271–281. 46 indexed citations

6.

Bhat, N., et al.. (1990). Modeling chemical process systems via neural computation. IEEE Control Systems Magazine. 10(3). 24–30. 185 indexed citations

7.

Bhat, N. & Thomas J. McAvoy. (1990). Use of neural nets for dynamic modeling and control of chemical process systems. Computers & Chemical Engineering. 14(4-5). 573–582. 516 indexed citations breakdown →

8.

Bhat, N., et al.. (1989). Use of Neural Nets for Modeling of Chemical Process Systems. IFAC Proceedings Volumes. 22(8). 169–175. 2 indexed citations

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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