V. Mareš

1.4k total citations
34 papers, 921 citations indexed

About

V. Mareš is a scholar working on Plant Science, Food Science and Soil Science. According to data from OpenAlex, V. Mareš has authored 34 papers receiving a total of 921 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Plant Science, 9 papers in Food Science and 8 papers in Soil Science. Recurrent topics in V. Mareš's work include Potato Plant Research (9 papers), Remote Sensing in Agriculture (5 papers) and Irrigation Practices and Water Management (4 papers). V. Mareš is often cited by papers focused on Potato Plant Research (9 papers), Remote Sensing in Agriculture (5 papers) and Irrigation Practices and Water Management (4 papers). V. Mareš collaborates with scholars based in Peru, United States and China. V. Mareš's co-authors include Roberto Quiroz, David A. Ramírez, Adolfo Posadas, Wendy Yactayo, José L. Rolando, Philippe Monneveux, Raymundo Gutiérrez, Felipe de Mendiburu, Jorge Monerris and Christian Yarlequé and has published in prestigious journals such as Soil Science Society of America Journal, Agriculture Ecosystems & Environment and Geoderma.

In The Last Decade

V. Mareš

33 papers receiving 862 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
V. Mareš Peru	16	435	263	257	176	140	34	921
A.A. Pronk Netherlands	11	510 1.2×	94 0.4×	311 1.2×	174 1.0×	120 0.9×	43	909
David A. Ramírez Peru	21	754 1.7×	381 1.4×	339 1.3×	422 2.4×	219 1.6×	51	1.4k
Thierry Winkel France	19	460 1.1×	267 1.0×	95 0.4×	301 1.7×	302 2.2×	42	982
Bao‐Zhong Yuan China	16	560 1.3×	181 0.7×	551 2.1×	209 1.2×	66 0.5×	46	1.0k
Nicolas Guilpart France	15	529 1.2×	133 0.5×	211 0.8×	167 0.9×	136 1.0×	28	937
Barlín Orlando Olivares Venezuela	19	443 1.0×	123 0.5×	112 0.4×	87 0.5×	90 0.6×	64	881
Joost Wolf Netherlands	12	591 1.4×	175 0.7×	151 0.6×	263 1.5×	74 0.5×	18	892
Komlan Koudahe United States	16	406 0.9×	85 0.3×	364 1.4×	340 1.9×	67 0.5×	39	981
Jean‐Michel Harmand France	25	424 1.0×	88 0.3×	461 1.8×	369 2.1×	235 1.7×	79	1.6k
Tendai Polite Chibarabada South Africa	13	352 0.8×	146 0.6×	79 0.3×	103 0.6×	101 0.7×	29	672

Countries citing papers authored by V. Mareš

Since Specialization

Citations

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

Fields of papers citing papers by V. Mareš

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Mareš

This figure shows the co-authorship network connecting the top 25 collaborators of V. Mareš. A scholar is included among the top collaborators of V. Mareš 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 V. Mareš. V. Mareš 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

Quiroz, Roberto, David A. Ramírez, Jürgen Kroschel, et al.. (2018). Impact of climate change on the potato crop and biodiversity in its center of origin. Open Agriculture. 3(1). 273–283. 39 indexed citations

Condori, Bruno, et al.. (2018). How big is the potato (Solanum tuberosum L.) yield gap in Sub-Saharan Africa and why? A participatory approach. Open Agriculture. 3(1). 180–189. 36 indexed citations

Rana, Rajesh K., et al.. (2017). SWOT analysis of potato cultivation under arid conditions in western Rajasthan (India). The Indian Journal of Agricultural Sciences. 87(12).

Rolando, José L., José Carlos Batista Dubeux, Wendy Pérez, et al.. (2017). Soil organic carbon stocks and fractionation under different land uses in the Peruvian high-Andean Puna. Geoderma. 307. 65–72. 31 indexed citations

Rolando, José L., et al.. (2016). Key ecosystem services and ecological intensification of agriculture in the tropical high-Andean Puna as affected by land-use and climate changes. Agriculture Ecosystems & Environment. 236. 221–233. 98 indexed citations

Ramírez, David A., José L. Rolando, Wendy Yactayo, et al.. (2015). Improving potato drought tolerance through the induction of long-term water stress memory. Plant Science. 238. 26–32. 66 indexed citations

Ramírez, David A., Wendy Yactayo, Raymundo Gutiérrez, et al.. (2014). Chlorophyll concentration in leaves is an indicator of potato tuber yield in water-shortage conditions. Scientia Horticulturae. 168. 202–209. 95 indexed citations

Condori, Bruno, et al.. (2014). Effect of different irrigation regimes on yield, water use efficiency and quality of potato (Solanum tuberosum L.) in the lowlands of Tashkent, Uzbekistan: A field and modeling perspective. Field Crops Research. 163. 90–99. 60 indexed citations

Yactayo, Wendy, David A. Ramírez, Raymundo Gutiérrez, et al.. (2013). Effect of partial root-zone drying irrigation timing on potato tuber yield and water use efficiency. Agricultural Water Management. 123. 65–70. 79 indexed citations

10.

Wang, Xiaoxue, et al.. (2011). Partial root-zone drying irrigation and water utilization efficiency by the potato crop in semi-arid regions in China. Scientia Horticulturae. 134. 20–25. 53 indexed citations

11.

Yarlequé, Christian, Oreste Piro, Adolfo Posadas, et al.. (2010). Applying Multifractal Analysis to Remotely Sensed Data for Assessing PYVV Infection in Potato (Solanum tuberosum L.) Crops. Remote Sensing. 2(5). 1197–1216. 11 indexed citations

12.

Quiroz, Roberto, Christian Yarlequé, Adolfo Posadas, V. Mareš, & Walter W. Immerzeel. (2010). Improving daily rainfall estimation from NDVI using a wavelet transform. Environmental Modelling & Software. 26(2). 201–209. 69 indexed citations

13.

Mareš, V., et al.. (2009). Assessing Potato Yellow Vein Virus (PYVV) infection using remotely sensed data. International Journal of Pest Management. 55(3). 251–256. 22 indexed citations

14.

Kadian, Mohinder, A. J. Khan, Mohammad Afzal Hossain, et al.. (2008). Double Transplanting Technology of Boro Rice in the Rice-Potato-Rice System for Enhanced Productivity and Reduced Poverty in Bangladesh. 168–168. 1 indexed citations

15.

Quiroz, R. S., et al.. (2007). Utilization of high-resolution satellite images to improve statistics for sweetpotato cultivated area of Kumi district, Uganda. Data Archiving and Networked Services (DANS). 1 indexed citations

16.

Mareš, V., et al.. (2006). Pursuing the Millennium Development Goals in the Andean Altiplano. Mountain Research and Development. 26(1). 15–19. 4 indexed citations

17.

Mareš, V., et al.. (2006). Radio Frequency Identification (RFID) application at dell computer. 28–30. 1 indexed citations

18.

Mareš, V. & J. Blahovec. (2004). Variation of the tree ring micro-hardness demonstrated on spruce wood. Journal of Forest Science. 50(3). 135–141. 3 indexed citations

19.

Milerski, M. & V. Mareš. (2001). Analysis of systematic factors affecting milk production in dairy goats. 6 indexed citations

20.

Mareš, V., et al.. (2000). The sustainable development of mountain regions: a paradigm shift and new considerations.. 35–42. 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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