T. Mavromatis

1.8k total citations
38 papers, 1.4k citations indexed

About

T. Mavromatis is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Global and Planetary Change. According to data from OpenAlex, T. Mavromatis has authored 38 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Plant Science, 17 papers in Ecology, Evolution, Behavior and Systematics and 15 papers in Global and Planetary Change. Recurrent topics in T. Mavromatis's work include Climate change impacts on agriculture (17 papers), Climate variability and models (12 papers) and Soybean genetics and cultivation (8 papers). T. Mavromatis is often cited by papers focused on Climate change impacts on agriculture (17 papers), Climate variability and models (12 papers) and Soybean genetics and cultivation (8 papers). T. Mavromatis collaborates with scholars based in Greece, United States and United Kingdom. T. Mavromatis's co-authors include Dimitrios Stathis, Linda O. Mearns, James Hansen, Κωνσταντίνος Παπακώστας, Ν. Κyriakis, Kenneth J. Boote, Stéfanos Koundouras, Gregory V. Jones, P. D. Jones and James W. Jones and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Renewable Energy and Climatic Change.

In The Last Decade

T. Mavromatis

37 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. Mavromatis Greece 19 702 565 508 186 180 38 1.4k
Bettina Baruth Italy 17 518 0.7× 554 1.0× 530 1.0× 72 0.4× 154 0.9× 39 1.3k
Guillermo A. Baigorria United States 18 745 1.1× 547 1.0× 800 1.6× 212 1.1× 236 1.3× 38 1.6k
Motoki Nishimori Japan 21 696 1.0× 599 1.1× 646 1.3× 187 1.0× 292 1.6× 62 1.6k
Sebastian Gayler Germany 19 423 0.6× 382 0.7× 242 0.5× 120 0.6× 146 0.8× 51 1.0k
Sharon Gourdji United States 16 792 1.1× 894 1.6× 586 1.2× 54 0.3× 390 2.2× 29 1.9k
Seydou Traoré United States 25 931 1.3× 575 1.0× 775 1.5× 267 1.4× 234 1.3× 78 2.0k
Hong Yin China 21 1.2k 1.7× 431 0.8× 491 1.0× 107 0.6× 856 4.8× 40 1.9k
Hui Ju China 22 631 0.9× 627 1.1× 774 1.5× 203 1.1× 134 0.7× 44 1.5k
N. B. Pickering United States 13 379 0.5× 636 1.1× 296 0.6× 73 0.4× 124 0.7× 21 1.0k
Qunying Luo Australia 20 657 0.9× 812 1.4× 801 1.6× 108 0.6× 139 0.8× 38 1.5k

Countries citing papers authored by T. Mavromatis

Since Specialization
Citations

This map shows the geographic impact of T. Mavromatis'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 T. Mavromatis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Mavromatis more than expected).

Fields of papers citing papers by T. Mavromatis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Mavromatis

This figure shows the co-authorship network connecting the top 25 collaborators of T. Mavromatis. A scholar is included among the top collaborators of T. Mavromatis 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 T. Mavromatis. T. Mavromatis 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.
Kazakis, Nerantzis, Maria Margarita Ntona, Kalliopi Artemis Voudouri, et al.. (2024). Groundwater Depletion. Are Environmentally Friendly Energy Recharge Dams a Solution?. Water. 16(11). 1541–1541. 15 indexed citations
2.
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Pantelidis, Georgios, T. Mavromatis, & P. Drogoudi. (2021). Consecutive wet days may impede fruit quality of peach and nectarine and cause fruit drop. Scientia Horticulturae. 282. 110011–110011. 17 indexed citations
5.
Mavromatis, T., et al.. (2017). Response of viticulture‐related climatic indices and zoning to historical and future climate conditions in Greece. International Journal of Climatology. 38(4). 2097–2111. 49 indexed citations
6.
Mavromatis, T. & Dimitrios Stathis. (2010). Response of the water balance in Greece to temperature and precipitation trends. Theoretical and Applied Climatology. 104(1-2). 13–24. 143 indexed citations
7.
Stathis, Dimitrios & T. Mavromatis. (2009). Characteristics of precipitation in Thessaloniki area, North Greece.. Fresenius environmental bulletin. 18. 1270–1275. 5 indexed citations
8.
Mavromatis, T.. (2009). Use of drought indices in climate change impact assessment studies: an application to Greece. International Journal of Climatology. 30(9). 1336–1348. 17 indexed citations
9.
Mavromatis, T.. (2006). Drought index evaluation for assessing future wheat production in Greece. International Journal of Climatology. 27(7). 911–924. 145 indexed citations
10.
Mavromatis, T. & S.S. Jagtap. (2005). Estimating solar radiation for crop modeling using temperature data from urban and rural stations. Climate Research. 29. 233–243. 14 indexed citations
11.
Tsvetsinskaya, E., Linda O. Mearns, T. Mavromatis, et al.. (2003). The Effect of Spatial Scale of Climatic Change Scenarios on Simulated Maize, Winter Wheat, and Rice Production in the Southeastern United States. Climatic Change. 60(1-2). 37–72. 51 indexed citations
12.
Carbone, Gregory J., Linda O. Mearns, T. Mavromatis, E. J. Sadler, & David E. Stooksbury. (2003). Evaluating CROPGRO-Soybean Performance for Use in Climate Impact Studies. Agronomy Journal. 95(3). 537–537. 24 indexed citations
13.
Mavromatis, T., et al.. (2002). El Niño-Southern Oscillation effects on peanut yield and nitrogen leaching. Climate Research. 22. 129–140. 28 indexed citations
14.
Wilkerson, Gail G., et al.. (2002). ESTIMATING SOYBEAN MODEL GENETIC COEFFICIENTS FROM PRIVATESECTOR VARIETY PERFORMANCE TRIAL DATA. Transactions of the ASAE. 45(4). 9 indexed citations
15.
Mavromatis, T., Kenneth J. Boote, James W. Jones, et al.. (2001). Developing Genetic Coefficients for Crop Simulation Models with Data from Crop Performance Trials. Crop Science. 41(1). 40–51. 114 indexed citations
16.
Wilkerson, Gail G., et al.. (2000). Estimating genetic coefficients for a soybean growth model.. 1–39. 1 indexed citations
17.
Irmak, Ayse, James W. Jones, T. Mavromatis, et al.. (2000). Evaluating Methods for Simulating Soybean Cultivar Responses Using Cross Validation. Agronomy Journal. 92(6). 1140–1149. 32 indexed citations
18.
Mearns, Linda O., T. Mavromatis, E. Tsvetsinskaya, C. Hays, & William E. Easterling. (1999). Comparative responses of EPIC and CERES crop models to high and low spatial resolution climate change scenarios. Journal of Geophysical Research Atmospheres. 104(D6). 6623–6646. 104 indexed citations
19.
Mavromatis, T. & P. D. Jones. (1999). Evaluation of HadCM2 and Direct Use of Daily GCM Data in Impact Assessment Studies. Climatic Change. 41(3-4). 583–614. 29 indexed citations
20.
Mavromatis, T. & P. D. Jones. (1998). Comparison of climate change scenario construction methodologies for impact assessment studies. Agricultural and Forest Meteorology. 91(1-2). 51–67. 41 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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