Majeed Safa

707 total citations
30 papers, 568 citations indexed

About

Majeed Safa is a scholar working on Ecology, Environmental Engineering and Plant Science. According to data from OpenAlex, Majeed Safa has authored 30 papers receiving a total of 568 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Ecology, 10 papers in Environmental Engineering and 9 papers in Plant Science. Recurrent topics in Majeed Safa's work include Agriculture Sustainability and Environmental Impact (15 papers), Environmental Impact and Sustainability (7 papers) and Aeolian processes and effects (4 papers). Majeed Safa is often cited by papers focused on Agriculture Sustainability and Environmental Impact (15 papers), Environmental Impact and Sustainability (7 papers) and Aeolian processes and effects (4 papers). Majeed Safa collaborates with scholars based in New Zealand, Iran and Canada. Majeed Safa's co-authors include Sandhya Samarasinghe, Mahdi Safa, Mohammad Davoud Heidari, Mohammad Ali Rajaeifar, Barat Ghobadian, Arash Shahi, Carl T. Haas, Jeremy J. Allen, Alison Bailey and Birendra KC and has published in prestigious journals such as Journal of Cleaner Production, Environmental Pollution and Energy Conversion and Management.

In The Last Decade

Majeed Safa

30 papers receiving 541 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Majeed Safa New Zealand	13	214	202	117	79	63	30	568
Ali Kaab Iran	8	276 1.3×	348 1.7×	113 1.0×	104 1.3×	32 0.5×	16	746
Zahra Saber Iran	6	167 0.8×	263 1.3×	67 0.6×	79 1.0×	30 0.5×	6	609
Ehsan Houshyar Iran	15	278 1.3×	218 1.1×	95 0.8×	80 1.0×	37 0.6×	30	632
Fatemeh Mostashari-Rad Iran	6	179 0.8×	283 1.4×	55 0.5×	87 1.1×	32 0.5×	6	602
Farshad Soheilifard Iran	11	244 1.1×	241 1.2×	112 1.0×	69 0.9×	19 0.3×	18	533
Abbas Asakereh Iran	11	114 0.5×	113 0.6×	142 1.2×	174 2.2×	52 0.8×	27	623
Mohammad Ghahderijani Iran	15	411 1.9×	366 1.8×	154 1.3×	130 1.6×	25 0.4×	35	855
Hamed Kouchaki‐Penchah Canada	11	190 0.9×	303 1.5×	48 0.4×	76 1.0×	55 0.9×	16	574
Andi Mehmeti Italy	16	132 0.6×	209 1.0×	70 0.6×	117 1.5×	37 0.6×	30	842
Ricardo Rebolledo-Leiva Spain	16	155 0.7×	203 1.0×	62 0.5×	59 0.7×	23 0.4×	41	641

Countries citing papers authored by Majeed Safa

Since Specialization

Citations

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

Fields of papers citing papers by Majeed Safa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Majeed Safa

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Anthony, Patricia, et al.. (2023). Body Composition Estimation in Breeding Ewes Using Live Weight and Body Parameters Utilizing Image Analysis. Animals. 13(14). 2391–2391. 1 indexed citations

Safa, Majeed, et al.. (2020). Investigating arsenic impact of ACC treated timbers in compost production (A case study in Christchurch, New Zealand). Environmental Pollution. 262. 114218–114218. 13 indexed citations

Safa, Majeed, et al.. (2020). Energy Efficiency Outlook of New Zealand Dairy Farming Systems: An Application of Data Envelopment Analysis (DEA) Approach. Energies. 13(1). 251–251. 20 indexed citations

Safa, Majeed, et al.. (2019). The Carbon Footprint of Energy Consumption in Pastoral and Barn Dairy Farming Systems: A Case Study from Canterbury, New Zealand. Sustainability. 11(17). 4809–4809. 13 indexed citations

KC, Birendra, et al.. (2018). Irrigation Strategies for Rotational Grazing Pasture in Canterbury, New Zealand, and Impacts on Irrigation Efficiency. Irrigation and Drainage. 67(5). 779–789. 12 indexed citations

Safa, Majeed & Birendra KC. (2018). Investigating Wind Damage of Centre Pivot Irrigators and Farmers' Reactions. Irrigation and Drainage. 67(3). 404–413. 2 indexed citations

Post, Scott, et al.. (2017). Wind tunnel flux comparisons using a phase Doppler interferometer. Journal of Plant Protection Research. 57(3). 281–287. 1 indexed citations

Abdoli, Mohammad Ali, et al.. (2017). Comparison between aerated static piles and vermicomposting in producing co-compost from rural organic wastes and cow manure. International Journal of Environmental Science and Technology. 16(3). 1551–1562. 17 indexed citations

Safa, Majeed, Mahdi Safa, Jeremy J. Allen, Arash Shahi, & Carl T. Haas. (2016). Improving sustainable office building operation by using historical data and linear models to predict energy usage. Sustainable Cities and Society. 29. 107–117. 33 indexed citations

10.

Safa, Majeed, et al.. (2016). Predicting CO2 Emissions from Farm Inputs in Wheat Production using Artificial Neural Networks and Linear Regression Models. International Journal of Advanced Computer Science and Applications. 7(9). 6 indexed citations

11.

Safa, Majeed, et al.. (2015). Prediction of Wheat Production Using Artificial Neural Networks and Investigating Indirect Factors Affecting It: Case Study in Canterbury Province, New Zealand. Journal of Agricultural Science and Technology. 17(4). 791–803. 48 indexed citations

12.

Safa, Mahdi, Arash Shahi, Mohammad Nahangi, Carl T. Haas, & Majeed Safa. (2015). Automated Post-Production Quality Control for Prefabricated Pipe-Spools. Lincoln University Research Archive (Lincoln University). 280–287. 2 indexed citations

13.

Post, Scott, et al.. (2015). Volumetric validation of mass balance using a computational phase Doppler approach for disc core nozzles. Crop Protection. 79. 128–134. 7 indexed citations

14.

Safa, Mahdi, et al.. (2015). Competitive intelligence (CI) for evaluation of construction contractors. Automation in Construction. 59. 149–157. 34 indexed citations

15.

Safa, Majeed, Jeremy J. Allen, & Mahdi Safa. (2014). Predicting Energy Usage Using Historical Data and Linear Models. Proceedings of the ... ISARC. 7 indexed citations

16.

Safa, Majeed & Sandhya Samarasinghe. (2012). Modelling fuel consumption in wheat production using artificial neural networks. Energy. 49. 337–343. 20 indexed citations

17.

Safa, Majeed & Sandhya Samarasinghe. (2012). CO2 emissions from farm inputs “Case study of wheat production in Canterbury, New Zealand”. Environmental Pollution. 171. 126–132. 35 indexed citations

18.

Safa, Majeed, et al.. (2010). Energy consumption in production of grains prevalent in Saveh, Iran.. African Journal of Agricultural Research. 5(19). 2637–2646. 6 indexed citations

19.

Safa, Majeed, et al.. (2010). Determination of fuel consumption and indirect factors affecting it in wheat production in Canterbury, New Zealand. Energy. 35(12). 5400–5405. 41 indexed citations

20.

Safa, Majeed, et al.. (2009). Modeling Fuel Consumption in Wheat Production Using Neural Networks. Lincoln University Research Archive (Lincoln University). 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.

Explore authors with similar magnitude of impact