P K Kingra

504 total citations
82 papers, 311 citations indexed

About

P K Kingra is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Agronomy and Crop Science. According to data from OpenAlex, P K Kingra has authored 82 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Plant Science, 24 papers in Ecology, Evolution, Behavior and Systematics and 23 papers in Agronomy and Crop Science. Recurrent topics in P K Kingra's work include Climate change impacts on agriculture (23 papers), Crop Yield and Soil Fertility (21 papers) and Rice Cultivation and Yield Improvement (17 papers). P K Kingra is often cited by papers focused on Climate change impacts on agriculture (23 papers), Crop Yield and Soil Fertility (21 papers) and Rice Cultivation and Yield Improvement (17 papers). P K Kingra collaborates with scholars based in India, United Kingdom and United States. P K Kingra's co-authors include Som Pal Singh, Raj Setia, Brijendra Pateriya, Ramanjit Kaur, S. S. Kukal, Satinder Kaur, Harjinder Sembhi, S. S. Hundal, B. S. Brar and Sudhir Kumar Mishra and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environment Development and Sustainability and Communications in Soil Science and Plant Analysis.

In The Last Decade

P K Kingra

71 papers receiving 292 citations

Peers

P K Kingra

GPC

EEBS

Leonardo Amaral Monteiro Brazil

Antonio de la Casa Argentina

Wei She China

R. S. Hooda India

Héctor Flores-Magdaleno Mexico

Sonam Tashi Bhutan

Fabrizio Ginaldi Italy

Jinfeng Zhao China

Behnam Ababaei Iran

Stefan Niemeyer Italy

Leonardo Amaral Monteiro Brazil

P K Kingra

145 ×1.0

83 ×0.9

GPC

31 ×0.5

85 ×1.4

47 ×0.8

EEBS

Citations per year, relative to P K Kingra P K Kingra (= 1×) peers Leonardo Amaral Monteiro

Countries citing papers authored by P K Kingra

Since Specialization

Citations

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

Fields of papers citing papers by P K Kingra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P K Kingra

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

All Works

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20 of 20 papers shown

Singh, Som Pal, et al.. (2025). Comparative Evaluation of CERES-Maize, WOFOST-Maize, and Ensemble of Models for Predicting Maize Phenology, Growth, and Grain Yield. Communications in Soil Science and Plant Analysis. 56(9). 1356–1380. 1 indexed citations

Pal, R.K., et al.. (2024). Climate-smart cotton (Gossypium herbaceum) crop production in Punjab: A comprehensive review of sustainable management practices. SHILAP Revista de lepidopterología. 94(2). 119–128. 1 indexed citations

Paul, Ranjit Kumar, et al.. (2024). Use of ERA5-L reanalysis datasets to derive heat units and predict the maturity period of wheat crop in central Punjab. Journal of Agrometeorology. 26(4). 419–424.

Kaur, Rajwant, et al.. (2024). Enhancing crop and water productivity of Bt cotton (Gossypium hirsutum) through drip irrigation and fertigation in semi-arid environments of south-western Punjab. SHILAP Revista de lepidopterología. 94(11). 1195–1200. 1 indexed citations

Kingra, P K, et al.. (2024). Impact of Abiotic Stresses on Wheat Yield and Strategies for Mitigation: A Comprehensive Review. Agricultural Research Journal. 61(2). 155–166. 1 indexed citations

Kaur, Amanpreet, K. B. Singh, A. S. Brar, R. K. Gupta, & P K Kingra. (2023). Interactive effect of nitrogen and irrigation on evapotranspiration, growth, yield and water productivity of subsurface drip‐irrigated spring maize: Field and simulation studies. Irrigation and Drainage. 72(3). 644–663. 3 indexed citations

Jalota, S.K., et al.. (2021). Critical analysis of temporal climate change and ensuing frequency of crop yield constraining temperatures. Journal of Agrometeorology. 22(3). 339–352. 2 indexed citations

Singh, Som Pal, et al.. (2019). Estimation of moisture depletion rate of barley in accordance with pan evaporation under diverse hydrothermal regimes. Journal of Pharmacognosy and Phytochemistry. 8(3). 3381–3385. 1 indexed citations

Dhillon, B. S., Pradeep Sharma, & P K Kingra. (2017). Agronomic measures to improve thermal energy utilization by spring sunflower (Helianthus annuus L.).. Journal of Agrometeorology. 19(1). 34–38. 3 indexed citations

10.

Kaur, Ramanjit, et al.. (2017). Correlation analysis of growth, yield and yield components of wheat (Triticum aestivum) under varying weed densities. The Indian Journal of Agricultural Sciences. 87(6). 2 indexed citations

11.

Kaur, Prabhjyot, et al.. (2016). Mustard model as an agronomic management tool for oilseed Brassica cultivation in Irrigated plains of Punjab state. 1(2). 99–110.

12.

Brar, B. S., et al.. (2016). Temporal Variations in N ₂ O Emissions in Maize and Wheat Crop Seasons: Impact of N-Fertilization, Crop Growth, and Weather Variables. Journal of Crop Improvement. 30(1). 17–31. 9 indexed citations

13.

Kingra, P K & S. S. Kukal. (2013). Impact of climate change on evapo-transpiration and water productivity of wheat in central Punjab. Journal of research. 50. 181–183. 2 indexed citations

14.

Kingra, P K & Prabhjyot Kaur. (2013). Phenology and growth dynamics of groundnut (Arachis hypogaea L.) cultivars under different dates of sowing. Journal of research. 50. 24–31. 1 indexed citations

15.

Kingra, P K & Prabhjyot Kaur. (2011). Agroclimatic Indices for Prediction of pod yield of Groundnut (Arachis hypogaea L.) in Punjab. Journal of research. 48. 1–4. 2 indexed citations

16.

Sirari, Asmita, et al.. (2010). Meteorological factors attributing yellow mosaic virus severity on greengram. The Indian Journal of Agricultural Sciences. 80(11). 1007–1009. 5 indexed citations

17.

Mukherjee, Joydeep, et al.. (2010). Variability in climate in three agroclimatic regions of Punjab.. Indian Journal of Ecology. 37(1). 33–39. 6 indexed citations

18.

Kaur, Ramanjit, Manjit Singh, & P K Kingra. (2001). Hyperspectral remote sensing for monitoring growth of rice (Oryza sativa) crop. Indian Journal of Agronomy. 61(2). 191–196. 2 indexed citations

19.

Kaur, Ramanjit, et al.. (2001). Effect of population density of Phalaris minor on production potential of wheat (Triticum aestivum). Indian Journal of Agronomy. 57(2). 157–161. 4 indexed citations

20.

Hundal, S. S. & P K Kingra. (2000). Evaluation of phenophasic models of soybean (Glycine max L.) based on growing degree-days and photothermal units.. Journal of Agrometeorology. 2(2). 123–130. 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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