Dinesh V. Kalaga

1.4k total citations · 1 hit paper
30 papers, 1.0k citations indexed

About

Dinesh V. Kalaga is a scholar working on Biomedical Engineering, Computational Mechanics and Mechanical Engineering. According to data from OpenAlex, Dinesh V. Kalaga has authored 30 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Biomedical Engineering, 14 papers in Computational Mechanics and 9 papers in Mechanical Engineering. Recurrent topics in Dinesh V. Kalaga's work include Fluid Dynamics and Mixing (17 papers), Innovative Microfluidic and Catalytic Techniques Innovation (7 papers) and Fluid Dynamics and Heat Transfer (7 papers). Dinesh V. Kalaga is often cited by papers focused on Fluid Dynamics and Mixing (17 papers), Innovative Microfluidic and Catalytic Techniques Innovation (7 papers) and Fluid Dynamics and Heat Transfer (7 papers). Dinesh V. Kalaga collaborates with scholars based in India, United States and Finland. Dinesh V. Kalaga's co-authors include Masahiro Kawaji, Jyeshtharaj B. Joshi, K.E. ArunKumar, Ch. Mohan Sai Kumar, Timothy M. Brenza, Shantanu Roy, Sameer V. Dalvi, Govinda Chilkoor, Sanjoy Banerjee and Damon E. Turney and has published in prestigious journals such as Chemical Engineering Journal, Industrial & Engineering Chemistry Research and Chemical Engineering Science.

In The Last Decade

Dinesh V. Kalaga

30 papers receiving 989 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.

Comparative analysis of Gated Recurrent Units (GRU), long Short-Term memory (LSTM) cells, autoregressive Integrated moving average (ARIMA), seasonal autoregressive Integrated moving average (SARIMA) for forecasting COVID-19 trends

2022 154 citations K.E. ArunKumar, Dinesh V. Kalaga et al. Alexandria Engineering Journal profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Dinesh V. Kalaga India	17	360	221	218	167	133	30	1.0k
Mohammed Sh. Alhodaly Saudi Arabia	21	356 1.0×	271 1.2×	248 1.1×	45 0.3×	121 0.9×	45	1.2k
Fuad A. Awwad Saudi Arabia	19	335 0.9×	323 1.5×	186 0.9×	21 0.1×	68 0.5×	177	1.2k
M. A. Hamdan Jordan	25	468 1.3×	729 3.3×	273 1.3×	88 0.5×	241 1.8×	198	2.4k
Vedran Mrzljak Croatia	19	77 0.2×	500 2.3×	85 0.4×	16 0.1×	228 1.7×	92	1.1k
Yiming Zhang China	23	163 0.5×	257 1.2×	202 0.9×	30 0.2×	119 0.9×	114	2.3k
Amir Rahmani United States	18	191 0.5×	113 0.5×	44 0.2×	80 0.5×	79 0.6×	85	1.0k
Matjaž Hriberšek Slovenia	22	313 0.9×	272 1.2×	600 2.8×	49 0.3×	211 1.6×	101	1.2k
Muhammad Ayaz Pakistan	19	653 1.8×	511 2.3×	448 2.1×	21 0.1×	28 0.2×	93	1.2k
Weichung Yeih Taiwan	26	92 0.3×	126 0.6×	173 0.8×	18 0.1×	169 1.3×	102	2.1k
Andrew Y. T. Leung China	19	88 0.2×	195 0.9×	145 0.7×	48 0.3×	118 0.9×	130	1.4k

Countries citing papers authored by Dinesh V. Kalaga

Since Specialization

Citations

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

Fields of papers citing papers by Dinesh V. Kalaga

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dinesh V. Kalaga. 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 Dinesh V. Kalaga. The network helps show where Dinesh V. Kalaga may publish in the future.

Co-authorship network of co-authors of Dinesh V. Kalaga

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Bindra, Hitesh, et al.. (2025). Effects of break geometry and orientation on helium-air mixing in simulated reactor cavities of high temperature gas reactors. Nuclear Engineering and Design. 433. 113878–113878. 1 indexed citations

Kalaga, Dinesh V., et al.. (2024). Helium-air mixing in simulated reactor cavities of high temperature gas reactors. Nuclear Engineering and Design. 420. 113014–113014. 2 indexed citations

Kalaga, Dinesh V., et al.. (2024). Liquid Flow Patterns and Particle Settling Velocity in a Taylor-Couette Cell Using Particle Image Velocimetry and Particle Tracking Velocimetry. SPE Journal. 29(6). 2920–2937. 1 indexed citations

ArunKumar, K.E., Dinesh V. Kalaga, Ch. Mohan Sai Kumar, Masahiro Kawaji, & Timothy M. Brenza. (2022). Comparative analysis of Gated Recurrent Units (GRU), long Short-Term memory (LSTM) cells, autoregressive Integrated moving average (ARIMA), seasonal autoregressive Integrated moving average (SARIMA) for forecasting COVID-19 trends. Alexandria Engineering Journal. 61(10). 7585–7603. 154 indexed citations breakdown →

ArunKumar, K.E., Dinesh V. Kalaga, Ch. Mohan Sai Kumar, Masahiro Kawaji, & Timothy M. Brenza. (2021). Forecasting of COVID-19 using deep layer Recurrent Neural Networks (RNNs) with Gated Recurrent Units (GRUs) and Long Short-Term Memory (LSTM) cells. Chaos Solitons & Fractals. 146. 110861–110861. 129 indexed citations

ArunKumar, K.E., Dinesh V. Kalaga, Ch. Mohan Sai Kumar, et al.. (2021). Forecasting the dynamics of cumulative COVID-19 cases (confirmed, recovered and deaths) for top-16 countries using statistical machine learning models: Auto-Regressive Integrated Moving Average (ARIMA) and Seasonal Auto-Regressive Integrated Moving Average (SARIMA). Applied Soft Computing. 103. 107161–107161. 156 indexed citations

Kalaga, Dinesh V., et al.. (2018). Impact of Dense Internals on Fluid Dynamic Parameters in Bubble Column. International Journal of Chemical Reactor Engineering. 16(12). 9 indexed citations

Turney, Damon E., et al.. (2018). A micro‐jet array for economic intensification of gas transfer in bioreactors. Biotechnology Progress. 35(1). e2710–e2710. 14 indexed citations

Kalaga, Dinesh V., et al.. (2018). Mixing in a co‐current upflow bubble column reactors with and without internals. The Canadian Journal of Chemical Engineering. 96(9). 1957–1971. 21 indexed citations

10.

Kalaga, Dinesh V., Mayur J. Sathe, Damon E. Turney, et al.. (2018). Experimental study and CFD simulation of the multiphase flow conditions encountered in a Novel Down-flow bubble column. Chemical Engineering Journal. 350. 507–522. 33 indexed citations

11.

Turney, Damon E., et al.. (2018). Reform of the drift-flux model of multiphase flow in pipes, wellbores, and reactor vessels. Chemical Engineering Science. 184. 251–258. 11 indexed citations

12.

Kalaga, Dinesh V., Harish Jagat Pant, Sameer V. Dalvi, Jyeshtharaj B. Joshi, & Shantanu Roy. (2017). Investigation of hydrodynamics in bubble column with internals using radioactive particle tracking (RPT). AIChE Journal. 63(11). 4881–4894. 35 indexed citations

13.

Chavan, Prakash V., et al.. (2017). Solid-liquid circulating fluidized bed: a way forward. Reviews in Chemical Engineering. 35(1). 1–44. 24 indexed citations

14.

Kalaga, Dinesh V., et al.. (2017). CFD simulations of a bubble column with and without internals by using OpenFOAM. Chemical Engineering Journal. 317. 157–174. 74 indexed citations

15.

Kalaga, Dinesh V., Sunil Goswami, Harish Jagat Pant, et al.. (2017). Comparative analysis of liquid hydrodynamics in a co-current flow-through bubble column with densely packed internals via radiotracing and Radioactive Particle Tracking (RPT). Chemical Engineering Science. 170. 332–346. 42 indexed citations

16.

Chavan, Prakash V., et al.. (2017). Novel multistage solid–liquid circulating fluidized bed: Hydrodynamic characteristics. Particuology. 38. 134–142. 7 indexed citations

17.

Kalaga, Dinesh V., et al.. (2014). Particle-liquid mass transfer in solid–liquid fluidized beds. Chemical Engineering Journal. 245. 323–341. 22 indexed citations

18.

Kalaga, Dinesh V., et al.. (2012). Liquid phase axial mixing in solid–liquid circulating multistage fluidized bed: CFD modeling and RTD measurements. Chemical Engineering Journal. 191. 475–490. 45 indexed citations

19.

Kalaga, Dinesh V., et al.. (2009). Some industrial applications of gamma-ray tomography. Journal of the Taiwan Institute of Chemical Engineers. 40(6). 602–612. 38 indexed citations

20.

Chavan, Prakash V., Dinesh V. Kalaga, & Jyeshtharaj B. Joshi. (2009). Solid−Liquid Circulating Multistage Fluidized Bed: Hydrodynamic Study. Industrial & Engineering Chemistry Research. 48(9). 4592–4602. 21 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.

Explore authors with similar magnitude of impact