Ch. Mohan Sai Kumar

1.1k total citations · 2 hit papers
14 papers, 675 citations indexed

About

Ch. Mohan Sai Kumar is a scholar working on Artificial Intelligence, Modeling and Simulation and Molecular Biology. According to data from OpenAlex, Ch. Mohan Sai Kumar has authored 14 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Modeling and Simulation and 2 papers in Molecular Biology. Recurrent topics in Ch. Mohan Sai Kumar's work include COVID-19 epidemiological studies (3 papers), COVID-19 Pandemic Impacts (2 papers) and COVID-19 diagnosis using AI (2 papers). Ch. Mohan Sai Kumar 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). Ch. Mohan Sai Kumar collaborates with scholars based in India, United States and Iraq. Ch. Mohan Sai Kumar's co-authors include Timothy M. Brenza, Dinesh V. Kalaga, Masahiro Kawaji, K.E. ArunKumar, Govinda Chilkoor, Ashween Deepak Nannaware, Manglesh Kumar Gupta, C.S. Chanotiya, P. K. Rout and Ravi Raushan and has published in prestigious journals such as Renewable Energy, Applied Soft Computing and Chaos Solitons & Fractals.

In The Last Decade

Ch. Mohan Sai Kumar

12 papers receiving 654 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.

Solar energy: A promising renewable source for meeting energy demand in Indian agriculture applications

2022 201 citations Ch. Mohan Sai Kumar, Manglesh Kumar Gupta et al. Sustainable Energy Technologies and Assessments profile →
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
Ch. Mohan Sai Kumar India	6	145	138	106	97	84	14	675
Dinesh V. Kalaga India	17	129 0.9×	133 1.0×	28 0.3×	97 1.0×	65 0.8×	30	1.0k
Paula Maçaira Brazil	15	81 0.6×	240 1.7×	48 0.5×	71 0.7×	64 0.8×	36	749
Anuradha Tomar India	12	162 1.1×	222 1.6×	121 1.1×	194 2.0×	26 0.3×	88	677
Nadia Al‐Rousan Türkiye	13	293 2.0×	131 0.9×	231 2.2×	79 0.8×	24 0.3×	34	626
Ricardo Manuel Arias Velásquez Peru	20	85 0.6×	539 3.9×	41 0.4×	60 0.6×	105 1.3×	78	1.1k
Iman Rahimi Australia	12	135 0.9×	72 0.5×	16 0.2×	175 1.8×	29 0.3×	35	680
K.E. ArunKumar India	5	127 0.9×	88 0.6×	17 0.2×	97 1.0×	49 0.6×	8	503
Ramon Gomes da Silva Brazil	11	348 2.4×	505 3.7×	47 0.4×	258 2.7×	116 1.4×	19	1.2k
Erick Giovani Sperandio Nascimento Brazil	16	193 1.3×	229 1.7×	16 0.2×	31 0.3×	173 2.1×	82	917
Mehmet Şahin Türkiye	9	93 0.6×	47 0.3×	16 0.2×	240 2.5×	51 0.6×	24	777

Countries citing papers authored by Ch. Mohan Sai Kumar

Since Specialization

Citations

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

Fields of papers citing papers by Ch. Mohan Sai Kumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ch. Mohan Sai Kumar. 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 Ch. Mohan Sai Kumar. The network helps show where Ch. Mohan Sai Kumar may publish in the future.

Co-authorship network of co-authors of Ch. Mohan Sai Kumar

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

All Works

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14 of 14 papers shown

Gupta, Manglesh Kumar, P. K. Rout, C.S. Chanotiya, et al.. (2024). Energy, environmental and economic evaluation of decentralized solar distillation and wood based distillation for extraction of organoleptically superior essential oils: A comparative analysis. Sustainable Energy Technologies and Assessments. 69. 103895–103895. 5 indexed citations

Yalavarthi, Usha Devi, et al.. (2024). IDEAL: an inventive optimized deep ensemble augmented learning framework for opinion mining and sentiment analysis. Social Network Analysis and Mining. 14(1). 2 indexed citations

Anandan, P., et al.. (2023). A Review on Effective Open-Source Web-Based Tools to Teach Signals and Systems Course in Online Mode. 1072–1079.

Khekare, Ganesh, et al.. (2023). D2D Network: Implementation of Blockchain Based Equitable Cognitive Resource Sharing System. 908–912. 3 indexed citations

Kumar, Ch. Mohan Sai, Manglesh Kumar Gupta, Ravi Raushan, et al.. (2022). Solar energy: A promising renewable source for meeting energy demand in Indian agriculture applications. Sustainable Energy Technologies and Assessments. 55. 102905–102905. 201 indexed citations breakdown →

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 →

Nannaware, Ashween Deepak, Ch. Mohan Sai Kumar, Manglesh Kumar Gupta, et al.. (2022). Eco-friendly solar distillation apparatus for improving the yield of essential oils with enhancing organoleptic characteristics. Renewable Energy. 191. 345–356. 16 indexed citations

Kumar, Ch. Mohan Sai, et al.. (2022). DNA Sequence Classification with Improved Performance of Supervised Classifiers using Nature Inspired Algorithms. 2022 2nd International Conference on Intelligent Technologies (CONIT). 1–7. 1 indexed citations

Kumar, Ch. Mohan Sai, et al.. (2022). Enhancing the Performance of Classifiers in Detecting Abnormalities in Medical Data using Nature Inspired Optimization Techniques. 2022 International Conference for Advancement in Technology (ICONAT). 1–7. 1 indexed citations

10.

Paik, Harikrishna, et al.. (2022). A CPW Fed Printed Antenna for Gain and Directivity Improvement using Frequency Selective Surface Reflector. 2022 International Conference for Advancement in Technology (ICONAT). 16. 1–4. 2 indexed citations

11.

Kumar, Deepak, Om Prakash, Shivani Chaturvedi, et al.. (2022). Green solvent system for isolation of biopolymers from Mentha arvensis distilled biomass and saccharification to glucose for the production of methyl levulinate. Renewable Energy. 194. 448–458. 3 indexed citations

12.

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

13.

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

14.

Kumar, Ch. Mohan Sai, et al.. (2021). An Empirical Review on Image Dehazing Techniques for Change Detection of Land Cover. 1–9. 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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