Pradeep Mishra

1.5k total citations
115 papers, 962 citations indexed

About

Pradeep Mishra is a scholar working on General Agricultural and Biological Sciences, Plant Science and Management Science and Operations Research. According to data from OpenAlex, Pradeep Mishra has authored 115 papers receiving a total of 962 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in General Agricultural and Biological Sciences, 28 papers in Plant Science and 18 papers in Management Science and Operations Research. Recurrent topics in Pradeep Mishra's work include Agricultural Economics and Practices (47 papers), Spectroscopy and Chemometric Analyses (12 papers) and Forecasting Techniques and Applications (10 papers). Pradeep Mishra is often cited by papers focused on Agricultural Economics and Practices (47 papers), Spectroscopy and Chemometric Analyses (12 papers) and Forecasting Techniques and Applications (10 papers). Pradeep Mishra collaborates with scholars based in India, Russia and Syria. Pradeep Mishra's co-authors include Soumitra Sankar Das, Soumik Ray, Mostafa Abotaleb, P. K. Sahu, Achal Lama, Bishal Gurung, Tufleuddin Biswas, Kadir Karakaya, Hicham Ayad and Alina Cristina Nuţă and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Environmental Management and Physics Letters A.

In The Last Decade

Pradeep Mishra

98 papers receiving 930 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pradeep Mishra India 17 210 201 152 136 117 115 962
Mrinmoy Ray India 16 240 1.1× 42 0.2× 79 0.5× 45 0.3× 52 0.4× 71 601
Chongguang Li China 15 61 0.3× 49 0.2× 223 1.5× 293 2.2× 146 1.2× 51 855
Lizhi Wang United States 23 501 2.4× 25 0.1× 104 0.7× 143 1.1× 462 3.9× 80 1.6k
Qurat Ul Ain Pakistan 17 114 0.5× 28 0.1× 93 0.6× 133 1.0× 72 0.6× 51 1.0k
Manlio Bacco Italy 16 245 1.2× 120 0.6× 18 0.1× 68 0.5× 317 2.7× 47 1.2k
Dehua Zhang China 16 224 1.1× 57 0.3× 93 0.6× 97 0.7× 65 0.6× 39 739
Rodolfo Bongiovanni Argentina 10 348 1.7× 120 0.6× 28 0.2× 130 1.0× 15 0.1× 19 894
Biao Zhang China 16 223 1.1× 81 0.4× 26 0.2× 75 0.6× 24 0.2× 49 919
Muhammad Amin Pakistan 21 161 0.8× 27 0.1× 65 0.4× 25 0.2× 61 0.5× 132 1.4k
Yangyang Zheng China 9 274 1.3× 98 0.5× 9 0.1× 63 0.5× 34 0.3× 30 646

Countries citing papers authored by Pradeep Mishra

Since Specialization
Citations

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

Fields of papers citing papers by Pradeep Mishra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pradeep Mishra

This figure shows the co-authorship network connecting the top 25 collaborators of Pradeep Mishra. A scholar is included among the top collaborators of Pradeep Mishra 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 Pradeep Mishra. Pradeep Mishra 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.
Ray, Soumik, et al.. (2025). Advanced Statistical Modeling of Agricultural Potato Data Using a Novel Compound Distribution. Potato Research. 68(3). 3319–3338. 1 indexed citations
2.
Lama, Achal, et al.. (2024). Python code for modeling ARIMA-LSTM architecture with random forest algorithm. Software Impacts. 20. 100650–100650. 4 indexed citations
3.
Ramadhan, Ali J., et al.. (2024). Use of Random Forest Regression Model for Forecasting Food and Commercial Crops of India. SHILAP Revista de lepidopterología. 97. 130–130.
4.
Ramadhan, Ali J., et al.. (2024). Forecasting Monthly Export Price of Sugarcane in India Using Sarima Modelling. SHILAP Revista de lepidopterología. 97. 142–142.
5.
Ray, Soumik, et al.. (2024). Crop-weather relationship of finger millet varieties under varying environments at Keonjhar, Odisha. Journal of Agrometeorology. 26(2). 257–260. 1 indexed citations
6.
El‐kenawy, El‐Sayed M., Amel Ali Alhussan, Doaa Sami Khafaga, et al.. (2024). Optimizing Potato Disease Classification Using a Metaheuristics Algorithm for Deep Learning: A Novel Approach for Sustainable Agriculture. Potato Research. 5 indexed citations
7.
Mishra, Pradeep, et al.. (2024). Decoding Potato Power: A Global Forecast of Production with Machine Learning and State-of-the-Art Techniques. Potato Research. 67(4). 1581–1602. 7 indexed citations
8.
Mishra, Pradeep, et al.. (2024). State of Art on Potato Production in South Asian Countries and their Yield Sustainability. Potato Research. 68(2). 943–967.
9.
Mishra, Pradeep, et al.. (2023). Forecasting Potato Production in Major South Asian Countries: a Comparative Study of Machine Learning and Time Series Models. Potato Research. 67(3). 1065–1083. 11 indexed citations
10.
Ahmed, A. A. Masrur, Nadjem Bailek, Laith Abualigah, et al.. (2023). Global control of electrical supply: A variational mode decomposition-aided deep learning model for energy consumption prediction. Energy Reports. 10. 2152–2165. 14 indexed citations
11.
12.
Ray, Soumik, Achal Lama, Pradeep Mishra, et al.. (2023). An ARIMA-LSTM model for predicting volatile agricultural price series with random forest technique. Applied Soft Computing. 149. 110939–110939. 66 indexed citations
13.
Das, Soumitra Sankar, et al.. (2023). Temporal Modelling of the Spread of Late Blight Infestation on Potato at Pundibari (a Part of Coochbehar District). Potato Research. 67(3). 1085–1096.
14.
Kumar, Deepak, et al.. (2022). Statistical Evaluation of Regional Level Agricultural and Socio-Economic Development in Haryana. Indian Journal of Ecology. 1 indexed citations
15.
Hussain, Sarfraz, et al.. (2022). The Quality of Fair Revaluation of Fixed Assets and Additional Calculations Aimed at Facilitating Prospective Investors’ Decisions. Sustainability. 14(16). 10334–10334. 5 indexed citations
16.
Mishra, Pradeep, et al.. (2022). Sugarcane yield forecast using weather based discriminant analysis. SHILAP Revista de lepidopterología. 3. 100076–100076. 12 indexed citations
17.
Mishra, Pradeep. (2022). Modelling and Forecasting of Maize Production in South Asian Countries. Economic Affairs. 67(4). 4 indexed citations
18.
Mishra, Pradeep, et al.. (2021). Forecasting of wheat production in Haryana using hybrid time series model. Journal of Agriculture and Food Research. 5. 100175–100175. 33 indexed citations
19.
Karakaya, Kadir, et al.. (2021). Machine learning-based Covid-19 forecasting: Impact on Pakistan stock exchange. 17(1). 53–61. 2 indexed citations
20.
Pandit, Maharaj K., et al.. (2019). Phenotypic stability of eggplant for yield and quality through AMMI, GGE and cluster analyses. Scientia Horticulturae. 247. 216–223. 20 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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