P. Ramasundaram

611 total citations
32 papers, 349 citations indexed

About

P. Ramasundaram is a scholar working on General Agricultural and Biological Sciences, Soil Science and Plant Science. According to data from OpenAlex, P. Ramasundaram has authored 32 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in General Agricultural and Biological Sciences, 11 papers in Soil Science and 11 papers in Plant Science. Recurrent topics in P. Ramasundaram's work include Agricultural Economics and Practices (12 papers), Agricultural risk and resilience (10 papers) and COVID-19 Pandemic Impacts (6 papers). P. Ramasundaram is often cited by papers focused on Agricultural Economics and Practices (12 papers), Agricultural risk and resilience (10 papers) and COVID-19 Pandemic Impacts (6 papers). P. Ramasundaram collaborates with scholars based in India, Canada and China. P. Ramasundaram's co-authors include R Sendhil, Raja Ragupathy, Joby Mackolil, Endashaw Workie, Joan Nyika, S. Vennila, Bappa Das, Abed Alataway, V. Arunachalam and Gyanendra Pratap Singh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Agronomy and Global Food Security.

In The Last Decade

P. Ramasundaram

28 papers receiving 320 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. Ramasundaram India 10 151 89 56 49 43 32 349
Amanda M. Countryman United States 10 137 0.9× 85 1.0× 45 0.8× 38 0.8× 22 0.5× 35 405
Henry An Canada 9 119 0.8× 65 0.7× 56 1.0× 87 1.8× 33 0.8× 29 347
Pilar Useche United States 14 127 0.8× 154 1.7× 36 0.6× 174 3.6× 60 1.4× 31 476
Richard Carew Canada 14 141 0.9× 229 2.6× 75 1.3× 65 1.3× 50 1.2× 40 486
Jean Balié Philippines 16 151 1.0× 97 1.1× 44 0.8× 136 2.8× 90 2.1× 42 474
Mercedes Campi Argentina 10 155 1.0× 67 0.8× 23 0.4× 58 1.2× 14 0.3× 25 389
Fengying Nie China 10 92 0.6× 71 0.8× 19 0.3× 59 1.2× 32 0.7× 41 369
Eileen Bogweh Nchanji Kenya 13 139 0.9× 169 1.9× 81 1.4× 113 2.3× 67 1.6× 48 487
Alessandro Corsi Italy 13 93 0.6× 147 1.7× 73 1.3× 113 2.3× 36 0.8× 34 401
Dominique Vermersch France 8 155 1.0× 69 0.8× 74 1.3× 116 2.4× 20 0.5× 23 377

Countries citing papers authored by P. Ramasundaram

Since Specialization
Citations

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

Fields of papers citing papers by P. Ramasundaram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Ramasundaram

This figure shows the co-authorship network connecting the top 25 collaborators of P. Ramasundaram. A scholar is included among the top collaborators of P. Ramasundaram 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 P. Ramasundaram. P. Ramasundaram 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.
Sendhil, R, et al.. (2024). Consumer perception and preference toward plant-based meat alternatives – Bibliometric trends and policy implications. Food and Humanity. 2. 100229–100229. 5 indexed citations
2.
3.
Reddy, K. V. Seshu, et al.. (2023). Impacts of COVID-19-induced lockdown and key reforms in the Indian fisheries sector—a stakeholders’ perspective. Aquaculture International. 31(3). 1583–1605. 3 indexed citations
4.
Sendhil, R, et al.. (2022). COVID-19 induced lockdown effect on wheat supply chain and prices in India – Insights from state interventions led resilience. Socio-Economic Planning Sciences. 84. 101366–101366. 19 indexed citations
5.
Sendhil, R, et al.. (2021). COVID-19 induced lockdown effects on agricultural commodity prices and consumer behaviour in India – Implications for food loss and waste management. Socio-Economic Planning Sciences. 82. 101160–101160. 47 indexed citations
6.
Sendhil, R, et al.. (2020). Pandemic Led Food Price Anomalies and Supply Chain Disruption: Evidence from COVID-19 Incidence in India. SSRN Electronic Journal. 18 indexed citations
7.
Sendhil, R, et al.. (2020). Millennium to the sustainable development goals: Changes and pathways for India. Business Strategy & Development. 4(2). 136–147. 2 indexed citations
8.
Sendhil, R, et al.. (2018). Doubling Farmers Income by 2022: Trends, Challenges, Pathway and Strategies. SSRN Electronic Journal.
9.
Sendhil, R, et al.. (2017). Transforming Indian agriculture: is doubling farmers' income by 2022 in the realm of reality?. Current Science. 113(5). 848–850. 4 indexed citations
10.
Ramasundaram, P., et al.. (2014). Assessing the economic impact of technology adoption in horticulture: concepts and case study of 'dogridge' root stock adoption in grape cultivation in India.. International journal of agriculture innovation and research. 3(1). 139–146.
11.
Ramasundaram, P., et al.. (2014). Welfare Gains from Application of First Generation Biotechnology in Indian Agriculture: The Case of Bt Cotton. Agricultural Economics Research Review. 27(1). 73–82. 3 indexed citations
12.
Suresh, A., et al.. (2014). Cotton Cultivation in India Since the Green Revolution: Technology, Policy, and Performance. AgEcon Search (University of Minnesota, USA). 4(2). 25–52. 5 indexed citations
13.
Ramasubramanian, V., et al.. (2014). Forecasting technological needs and prioritizing factors in agriculture from a plant breeding and genetics domain perspective: A review. The Indian Journal of Agricultural Sciences. 84(3). 5 indexed citations
14.
Sendhil, R & P. Ramasundaram. (2014). Performance and Relevance of Wheat Futures Market in India – An Exploratory Analysis. RePEc: Research Papers in Economics. 2 indexed citations
15.
Ramasundaram, P., et al.. (2013). Effectiveness of Collective Farming Under Kudumbasree programme of Kerala. Journal of Community Mobilization and Sustainable Development. 8(2). 276–281. 1 indexed citations
16.
Ramasubramanian, V., et al.. (2013). Forecasting technological needs and prioritizing factors for the post-harvest sector of Indian fisheries. Fishery Technology. 50(1). 1 indexed citations
17.
Kareemulla, K., et al.. (2013). Impact of National Rural Employment Guarantee Scheme in India on Rural Poverty and Food Security. Current Agriculture Research Journal. 1(1). 13–28. 11 indexed citations
18.
Singh, Surendra Pratap, P. Ramasundaram, B. Gangwar, & Mahendra Singh. (2009). Socio-economic aspects of farming systems in Mid-Western Plain of Uttar Pradesh.. 66(3). 139–146. 1 indexed citations
19.
Ramasundaram, P., et al.. (2008). Whether commodity futures market in agriculture is efficient in price discovery? - An econometric analysis. Agricultural Economics Research Review. 21(2008). 337–344. 36 indexed citations
20.
Gokte‐Narkhedkar, Nandini, et al.. (2001). Reproductive variations in Aphelenchoides besseyi populations. Indian Journal Of Nematology. 31(2). 115–119. 5 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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