K.E. ArunKumar

808 total citations · 1 hit paper
8 papers, 503 citations indexed

About

K.E. ArunKumar is a scholar working on Modeling and Simulation, Radiology, Nuclear Medicine and Imaging and Economics and Econometrics. According to data from OpenAlex, K.E. ArunKumar has authored 8 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Modeling and Simulation, 2 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Economics and Econometrics. Recurrent topics in K.E. ArunKumar's work include COVID-19 epidemiological studies (3 papers), COVID-19 Pandemic Impacts (2 papers) and COVID-19 diagnosis using AI (2 papers). K.E. ArunKumar is often cited by papers focused on COVID-19 epidemiological studies (3 papers), COVID-19 Pandemic Impacts (2 papers) and COVID-19 diagnosis using AI (2 papers). K.E. ArunKumar collaborates with scholars based in India and United States. K.E. ArunKumar's co-authors include Masahiro Kawaji, Dinesh V. Kalaga, Ch. Mohan Sai Kumar, Timothy M. Brenza, Govinda Chilkoor, Bharat K. Jasthi, Nikhil Koratkar, Venkataramana Gadhamshetty, Grigoriy Sereda and M. Meyyappan and has published in prestigious journals such as Carbon, Chemical Engineering Journal and Applied Soft Computing.

In The Last Decade

K.E. ArunKumar

6 papers receiving 489 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
K.E. ArunKumar India	5	127	97	88	80	78	8	503
Dinesh V. Kalaga India	17	129 1.0×	97 1.0×	133 1.5×	86 1.1×	78 1.0×	30	1.0k
Ch. Mohan Sai Kumar India	6	145 1.1×	97 1.0×	138 1.6×	80 1.0×	81 1.0×	14	675
Sarbjit Singh India	8	122 1.0×	86 0.9×	79 0.9×	63 0.8×	106 1.4×	17	511
Mostafa Gandomi Iran	14	122 1.0×	124 1.3×	28 0.3×	79 1.0×	24 0.3×	21	747
Anuradha Tomar India	12	162 1.3×	194 2.0×	222 2.5×	135 1.7×	19 0.2×	88	677
Futian Weng China	12	171 1.3×	57 0.6×	94 1.1×	27 0.3×	106 1.4×	28	500
Parul Arora India	7	146 1.1×	135 1.4×	173 2.0×	127 1.6×	37 0.5×	12	440
Nadia Al‐Rousan Türkiye	13	293 2.3×	79 0.8×	131 1.5×	38 0.5×	31 0.4×	34	626
Pascalin Tiam Kapen Cameroon	14	104 0.8×	90 0.9×	188 2.1×	96 1.2×	9 0.1×	44	793
Peipei Wang China	10	191 1.5×	254 2.6×	22 0.3×	160 2.0×	34 0.4×	26	819

Countries citing papers authored by K.E. ArunKumar

Since Specialization

Citations

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

Fields of papers citing papers by K.E. ArunKumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K.E. ArunKumar. 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 K.E. ArunKumar. The network helps show where K.E. ArunKumar may publish in the future.

Co-authorship network of co-authors of K.E. ArunKumar

This figure shows the co-authorship network connecting the top 25 collaborators of K.E. ArunKumar. A scholar is included among the top collaborators of K.E. ArunKumar 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 K.E. ArunKumar. K.E. ArunKumar 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.

ArunKumar, K.E., et al.. (2025). Academic Performance Prediction Based on Multisource, Multifeature Behavioral Data. International journal of research and scientific innovation. XII(VII). 2332–2337.

2.

ArunKumar, K.E., et al.. (2024). Evaluation of mechanical properties and energy absorption of polyurethane foam core sandwich panels with kevlar/basalt-epoxy laminates as face sheets. Journal of Physics Conference Series. 2837(1). 12017–12017. 1 indexed citations

3.

ArunKumar, K.E.. (2024). A Re-evaluation of Global Financial Outlooks and Prospects in the Telehealth Industry Amidst the Transition to a Post-Pandemic Era. International Journal of Innovative Science and Research Technology (IJISRT). 1804–1807. 1 indexed citations

4.

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 →

5.

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

6.

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

7.

Chilkoor, Govinda, K.E. ArunKumar, Bharat K. Jasthi, et al.. (2019). Maleic anhydride-functionalized graphene nanofillers render epoxy coatings highly resistant to corrosion and microbial attack. Carbon. 159. 586–597. 48 indexed citations

8.

Kalaga, Dinesh V., Damon E. Turney, K.E. ArunKumar, et al.. (2019). Scale-up of a downflow bubble column: Experimental investigations. Chemical Engineering Journal. 386. 121447–121447. 14 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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