Santosha Rathod

1.1k total citations
89 papers, 533 citations indexed

About

Santosha Rathod is a scholar working on Plant Science, Management Science and Operations Research and General Agricultural and Biological Sciences. According to data from OpenAlex, Santosha Rathod has authored 89 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Plant Science, 19 papers in Management Science and Operations Research and 15 papers in General Agricultural and Biological Sciences. Recurrent topics in Santosha Rathod's work include Rice Cultivation and Yield Improvement (17 papers), Stock Market Forecasting Methods (16 papers) and Agricultural Economics and Practices (15 papers). Santosha Rathod is often cited by papers focused on Rice Cultivation and Yield Improvement (17 papers), Stock Market Forecasting Methods (16 papers) and Agricultural Economics and Practices (15 papers). Santosha Rathod collaborates with scholars based in India, Croatia and Mexico. Santosha Rathod's co-authors include Mrinmoy Ray, Kehar Singh, Gabrijel Ondrašek, R. M. Sundaram, Nirmala Bandumula, Kanchan Sinha, Rajeev Ranjan Kumar, C. Gireesh, Anirban Mukherjee and C. N. Neeraja 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

Santosha Rathod

73 papers receiving 522 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Santosha Rathod India 13 219 78 72 59 59 89 533
Mrinmoy Ray India 16 240 1.1× 79 1.0× 70 1.0× 42 0.7× 75 1.3× 71 601
Soumitra Sankar Das India 11 181 0.8× 56 0.7× 31 0.4× 45 0.8× 43 0.7× 29 442
Bishal Gurung India 11 139 0.6× 76 1.0× 23 0.3× 48 0.8× 22 0.4× 62 432
Md Yeasin India 10 77 0.4× 51 0.7× 47 0.7× 20 0.3× 66 1.1× 71 344
Nirmala Bandumula India 12 307 1.4× 21 0.3× 33 0.5× 104 1.8× 14 0.2× 39 544
Vivekananda M. Byrareddy Australia 9 169 0.8× 26 0.3× 75 1.0× 41 0.7× 25 0.4× 17 535
Jianzhai Wu China 12 121 0.6× 22 0.3× 109 1.5× 40 0.7× 95 1.6× 51 509
A. K. Paul India 7 58 0.3× 56 0.7× 13 0.2× 30 0.5× 20 0.3× 34 197
John Sulik Canada 10 229 1.0× 23 0.3× 82 1.1× 5 0.1× 122 2.1× 19 545
Achal Lama India 12 135 0.6× 75 1.0× 26 0.4× 42 0.7× 41 0.7× 51 456

Countries citing papers authored by Santosha Rathod

Since Specialization
Citations

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

Fields of papers citing papers by Santosha Rathod

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Santosha Rathod

This figure shows the co-authorship network connecting the top 25 collaborators of Santosha Rathod. A scholar is included among the top collaborators of Santosha Rathod 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 Santosha Rathod. Santosha Rathod 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.
Ondrašek, Gabrijel, Santosha Rathod, Dharavath Ramesh, et al.. (2025). Metal contamination – a global environmental issue: sources, implications & advances in mitigation. RSC Advances. 15(5). 3904–3927. 15 indexed citations
2.
3.
Rathod, Santosha, et al.. (2024). Statistical Assessment of Temperature Trends and Change Points in Telangana State, India. International Journal of Environment and Climate Change. 14(4). 397–407. 1 indexed citations
4.
Rathod, Santosha, et al.. (2024). Application of Machine Learning Techniques Models for Forecasting of Redgram Prices of Andhra Pradesh, India. Journal of Scientific Research and Reports. 30(7). 252–271. 1 indexed citations
5.
Shivakumar, M., Vennampally Nataraj, Giriraj Kumawat, et al.. (2024). Understanding of G × E interactions of yield attributes in soybean MAGIC population and characterization for charcoal rot resistance. Agronomy Journal. 116(3). 1290–1301. 2 indexed citations
6.
Rathod, Santosha, et al.. (2024). Climate-Based Prediction of Rice Blast Disease Using Count Time Series and Machine Learning Approaches. AgriEngineering. 6(4). 4353–4371.
7.
Rathod, Santosha, et al.. (2023). Correlation of the Effect of Native Bioagents on Soil Properties and Their Influence on Stem Rot Disease of Rice. Sustainability. 15(15). 11768–11768. 4 indexed citations
8.
9.
Rathod, Santosha, et al.. (2023). Insect Pest Incidence with the System of Rice Intensification: Results of a Multi-Location Study and a Meta-Analysis. Agronomy. 13(4). 1100–1100. 9 indexed citations
10.
Ondrašek, Gabrijel, Marina Bubalo Kovačić, Marko Vinceković, et al.. (2023). Land Resources in Organic Agriculture: Trends and Challenges in the Twenty-First Century from Global to Croatian Contexts. Agronomy. 13(6). 1544–1544. 15 indexed citations
11.
12.
Rathod, Santosha, et al.. (2023). Characterization of heterogeneity in popular rice landrace through field and molecular evaluation. Field Crops Research. 304. 109181–109181. 2 indexed citations
13.
Rathod, Santosha, Nethi Somasekhar, Nirmala Bandumula, et al.. (2023). Comparison of System of Rice Intensification Applications and Alternatives in India: Agronomic, Economic, Environmental, Energy, and Other Effects. Agronomy. 13(10). 2492–2492. 6 indexed citations
14.
Bandumula, Nirmala, et al.. (2022). An Economic Evaluation of Improved Rice Production Technology in Telangana State, India. Agriculture. 12(9). 1387–1387. 7 indexed citations
15.
Rathod, Santosha, et al.. (2022). Modeling and Forecasting of Rice Prices in India during the COVID-19 Lockdown Using Machine Learning Approaches. Agronomy. 12(9). 2133–2133. 12 indexed citations
16.
Sreekanth, P. D., Nirmala Bandumula, Gabrijel Ondrašek, et al.. (2022). Characterization and Prediction of Water Stress Using Time Series and Artificial Intelligence Models. Sustainability. 14(11). 6690–6690. 13 indexed citations
17.
Rathod, Santosha, et al.. (2018). Modeling and forecasting of oilseed production of India through artificial intelligence techniques. The Indian Journal of Agricultural Sciences. 88(1). 22–27. 22 indexed citations
18.
Ray, Mrinmoy, et al.. (2018). Improved ARIMAX modal based on ANN and SVM approaches for forecasting rice yield using weather variables. The Indian Journal of Agricultural Sciences. 88(12). 1909–1913. 17 indexed citations
19.
Rathod, Santosha, et al.. (2014). Forecasting of coconut production in India: a suitable time series model.. INTERNATIONAL JOURNAL OF AGRICULTURAL ENGINEERING. 7(1). 190–193. 9 indexed citations
20.
Rathod, Santosha, et al.. (2011). Length-Weight Relationship in Salmostoma navacula and Channa muralius Godavari River at Kaigaon Toka, Dist. Aurangabad (M.S.) India. Recent Research in Science and Technology. 3(3). 104–106. 4 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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