Manish Kumar

1.9k total citations
64 papers, 1.4k citations indexed

About

Manish Kumar is a scholar working on Global and Planetary Change, Environmental Engineering and Water Science and Technology. According to data from OpenAlex, Manish Kumar has authored 64 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Global and Planetary Change, 17 papers in Environmental Engineering and 14 papers in Water Science and Technology. Recurrent topics in Manish Kumar's work include Hydrology and Watershed Management Studies (14 papers), Hydrological Forecasting Using AI (12 papers) and Stock Market Forecasting Methods (10 papers). Manish Kumar is often cited by papers focused on Hydrology and Watershed Management Studies (14 papers), Hydrological Forecasting Using AI (12 papers) and Stock Market Forecasting Methods (10 papers). Manish Kumar collaborates with scholars based in India, Egypt and United States. Manish Kumar's co-authors include M. Thenmozhi, Ahmed Elbeltagi, Devendra P. Garg, Alban Kuriqi, Chaitanya B. Pande, Pravendra Kumar, Dinesh Kumar Vishwakarma, Nand Lal Kushwaha, Abu Reza Md. Towfiqul Islam and Quoc Bao Pham and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Manish Kumar

57 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manish Kumar India 19 482 470 355 261 178 64 1.4k
Mohammad Ebrahim Banihabib Iran 23 608 1.3× 742 1.6× 859 2.4× 274 1.0× 294 1.7× 84 2.3k
Ani Shabri Malaysia 18 404 0.8× 414 0.9× 285 0.8× 334 1.3× 311 1.7× 134 1.3k
Dong-mei Xu China 7 338 0.7× 512 1.1× 479 1.3× 90 0.3× 265 1.5× 9 1.3k
Murat Kankal Türkiye 21 395 0.8× 369 0.8× 353 1.0× 168 0.6× 381 2.1× 66 1.5k
Zeqiang Chen China 25 766 1.6× 665 1.4× 270 0.8× 92 0.4× 126 0.7× 108 2.2k
Ramendra Prasad Fiji 26 532 1.1× 1.0k 2.1× 403 1.1× 164 0.6× 728 4.1× 51 2.3k
Bo Zhong China 26 557 1.2× 453 1.0× 113 0.3× 143 0.5× 148 0.8× 118 1.7k
Mohammad Ali Ghorbani Iran 18 511 1.1× 640 1.4× 406 1.1× 95 0.4× 174 1.0× 34 1.4k
Zhaocai Wang China 26 279 0.6× 766 1.6× 760 2.1× 68 0.3× 253 1.4× 105 1.9k
C.L. Wu Hong Kong 9 609 1.3× 990 2.1× 729 2.1× 111 0.4× 372 2.1× 9 1.6k

Countries citing papers authored by Manish Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Manish Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manish Kumar

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

All Works

20 of 20 papers shown
1.
Achite, Mohammed, Manish Kumar, Nehal Elshaboury, et al.. (2025). Comparative assessment of standalone and hybrid deep neural networks for modeling daily pan evaporation in a semi-arid environment. Scientific Reports. 15(1). 20179–20179. 5 indexed citations
2.
Kumar, Ambrish, et al.. (2025). Assessment and estimation of runoff and soil loss using novel machine learning techniques for conservation bench terraces. The Science of The Total Environment. 973. 179093–179093.
3.
Kumar, Ambrish, et al.. (2024). Evaluation of infiltration rate and pedotransfer function under different landuse patterns for Kalyanpur block, Bihar. Physics and Chemistry of the Earth Parts A/B/C. 135. 103641–103641.
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7.
Kumar, Manish, et al.. (2023). Stacked Bidirectional-LSTM Network for FakeNews Detection on Twitter Data. 1. 1–5. 1 indexed citations
8.
Elbeltagi, Ahmed, Chaitanya B. Pande, Manish Kumar, et al.. (2023). Prediction of meteorological drought and standardized precipitation index based on the random forest (RF), random tree (RT), and Gaussian process regression (GPR) models. Environmental Science and Pollution Research. 30(15). 43183–43202. 82 indexed citations
9.
Elbeltagi, Ahmed, et al.. (2023). Modeling Soil Water Retention Under Different Pressures Using Adaptive Neuro-Fuzzy Inference System. Water Resources Management. 37(4). 1519–1538. 1 indexed citations
10.
Elbeltagi, Ahmed, Attila Nagy, Safwan Mohammed, et al.. (2022). Combination of Limited Meteorological Data for Predicting Reference Crop Evapotranspiration Using Artificial Neural Network Method. Agronomy. 12(2). 516–516. 52 indexed citations
11.
Kumar, Manish, et al.. (2022). An efficient real-time stock prediction exploiting incremental learning and deep learning. Evolving Systems. 14(6). 919–937. 34 indexed citations
12.
Elbeltagi, Ahmed, Nikul Kumari, Jaydeo K. Dharpure, et al.. (2021). Prediction of Combined Terrestrial Evapotranspiration Index (CTEI) over Large River Basin Based on Machine Learning Approaches. Water. 13(4). 547–547. 70 indexed citations
13.
Kumar, Manish, et al.. (2020). High-Performance Dynamic Comparator. International Journal of Emerging Trends in Engineering Research. 8(9). 5545–5550. 2 indexed citations
14.
Helmicki, Arthur J., et al.. (2018). Construction Site Evaluation Employing 3D Models from UAV Imagery. 227–233. 3 indexed citations
15.
Kumar, Manish & M. Thenmozhi. (2012). Stock Index Return Forecasting and Trading Strategy Using Hybrid ARIMA-Neural Network Model. 2(1). 1–14. 5 indexed citations
16.
Kumar, Manish & M. Thenmozhi. (2012). Causal effect of volume on stock returns and conditional volatility in developed and emerging market. 2(4). 346–346. 8 indexed citations
17.
Kumar, Manish. (2010). Improving the accuracy: Volatility modeling and forecasting using high-frequency data and the variational component. SHILAP Revista de lepidopterología. 1 indexed citations
18.
Kumar, Manish. (2009). Nonlinear Prediction of The Standard & Poor's 500 and The Hang Seng Index under A Dynamic Increasing Sample. Asian Academy of Management Journal of Accounting and Finance. 5(2). 101–118. 2 indexed citations
19.
Kumar, Manish, et al.. (2006). Grasp Planning for a Two-Fingered Parallel-Jawed Gripper. 1325–1333. 1 indexed citations
20.
Rao, K. V. Krishna & Manish Kumar. (2003). Discrete choice models for location and travel in the context of developing countries. OpenstarTs (Univeristy of Trieste https://www.units.it/). 1 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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