D. Perdikis

2.4k total citations
112 papers, 1.9k citations indexed

About

D. Perdikis is a scholar working on Insect Science, Plant Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, D. Perdikis has authored 112 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Insect Science, 75 papers in Plant Science and 35 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in D. Perdikis's work include Insect-Plant Interactions and Control (77 papers), Insect Pest Control Strategies (26 papers) and Plant Parasitism and Resistance (21 papers). D. Perdikis is often cited by papers focused on Insect-Plant Interactions and Control (77 papers), Insect Pest Control Strategies (26 papers) and Plant Parasitism and Resistance (21 papers). D. Perdikis collaborates with scholars based in Greece, United States and Netherlands. D. Perdikis's co-authors include D. P. Lykouressis, D. Lykouressis, Argyro A. Fantinou, C. Castañé, J. A. Tsitsipis, John T. Margaritopoulos, Leonidas Economou, Moschos G. Polissiou, Eleftherios A. Petrakis and Athanasios Kimbaris and has published in prestigious journals such as PLoS ONE, Industrial Crops and Products and Applied Soil Ecology.

In The Last Decade

D. Perdikis

109 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Perdikis Greece 29 1.6k 1.1k 684 261 146 112 1.9k
Elizabeth E. Grafton‐Cardwell United States 25 1.8k 1.1× 1.3k 1.2× 487 0.7× 323 1.2× 145 1.0× 141 2.2k
Berhane T. Weldegergis Netherlands 26 1.2k 0.8× 1.3k 1.2× 661 1.0× 281 1.1× 110 0.8× 45 2.0k
J. F. Walgenbach United States 27 1.7k 1.1× 1.1k 1.0× 613 0.9× 301 1.2× 187 1.3× 129 2.1k
John C. Caulfield United Kingdom 24 923 0.6× 982 0.9× 399 0.6× 323 1.2× 118 0.8× 65 1.7k
Michael D. Toews United States 29 1.8k 1.2× 1.6k 1.4× 509 0.7× 614 2.4× 136 0.9× 117 2.3k
Takeshi Shimoda Japan 22 1.5k 1.0× 1.2k 1.1× 834 1.2× 334 1.3× 169 1.2× 70 2.0k
Anke Steppuhn Germany 22 1.1k 0.7× 1.3k 1.2× 634 0.9× 563 2.2× 154 1.1× 36 2.0k
Phyllis G. Weintraub Israel 25 1.7k 1.1× 1.7k 1.5× 520 0.8× 250 1.0× 136 0.9× 76 2.3k
Russell L. Groves United States 25 1.3k 0.8× 1.5k 1.3× 347 0.5× 423 1.6× 128 0.9× 113 2.1k
Lance S. Osborne United States 30 2.3k 1.5× 1.7k 1.5× 619 0.9× 517 2.0× 176 1.2× 157 2.6k

Countries citing papers authored by D. Perdikis

Since Specialization
Citations

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

Fields of papers citing papers by D. Perdikis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Perdikis

This figure shows the co-authorship network connecting the top 25 collaborators of D. Perdikis. A scholar is included among the top collaborators of D. Perdikis 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 D. Perdikis. D. Perdikis 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
2.
Perdikis, D., et al.. (2018). Prey‐mediated changes in the selectivity of the predator Macrolophus pygmaeus (Heteroptera: Miridae). Entomological Science. 21(3). 260–269. 1 indexed citations
3.
Petrakis, Eleftherios A., et al.. (2018). Effects of Ocimum basilicum and Ruta chalepensis hydrosols on Aphis gossypii and Tetranychus urticae. Journal of Applied Entomology. 142(4). 413–420. 22 indexed citations
4.
Perdikis, D., et al.. (2017). Comparisons Between Alate Aphids Caught in Υellow Water Traps and Aphid Populations on Tomato Plants. ENTOMOLOGIA HELLENICA. 11. 29–29. 1 indexed citations
5.
Perdikis, D., et al.. (2015). Effect of hunger level on prey consumption and functional response of the predator Macrolophus pygmaeus.. Bulletin of insectology. 68(2). 211–218. 12 indexed citations
6.
Perdikis, D., et al.. (2015). Plant Resources as a Factor Altering Emergent Multi-Predator Effects. PLoS ONE. 10(9). e0138764–e0138764. 8 indexed citations
7.
Bouga, Maria, et al.. (2013). Discrimination of Two Natural Biocontrol Agents in the Mediterranean Region Based on Mitochondrial DNA Sequencing Data. Biochemical Genetics. 51(11-12). 825–840. 6 indexed citations
8.
Fantinou, Argyro A., et al.. (2012). Consumption rate, functional response and preference of the predaceous mite Iphiseius degenerans to Tetranychus urticae and Eutetranychus orientalis. Experimental and Applied Acarology. 58(2). 133–144. 29 indexed citations
9.
Perdikis, D., et al.. (2009). Studies on the damage potential of the predator Nesidiocoris tenuis on tomato plants.. Bulletin of insectology. 62(1). 41–46. 26 indexed citations
10.
Perdikis, D., et al.. (2009). Studies on the identity of the parasitoids Aphidius colemani and Aphidius transcaspicus (Hymenoptera: Braconidae). European Journal of Entomology. 106(4). 491–498. 6 indexed citations
11.
Perdikis, D., et al.. (2009). Studies on the damage potential of Closterotomus trivialis and Aphanosoma italicum on olive fruit setting. Bulletin of insectology. 62(2). 215–219. 4 indexed citations
12.
Pijnakker, J., P.M.J. Ramakers, C. Castañé, & D. Perdikis. (2009). Effect of vaporizing sulphur on pest predators in greenhouses.. Socio-Environmental Systems Modeling. 49. 341–345. 5 indexed citations
13.
Fantinou, Argyro A., et al.. (2009). Preference and consumption of Macrolophus pygmaeus preying on mixed instar assemblages of Myzus persicae. Biological Control. 51(1). 76–80. 31 indexed citations
14.
Fantinou, Argyro A., et al.. (2008). Prey killing without consumption: Does Macrolophus pygmaeus show adaptive foraging behaviour?. Biological Control. 47(2). 187–193. 36 indexed citations
16.
Perdikis, D. & D. P. Lykouressis. (2004). Macrolophus pygmaeus (Hemiptera: Miridae) Population Parameters and Biological Characteristics When Feeding on Eggplant and Tomato Without Prey. Journal of Economic Entomology. 97(4). 1291–1298. 40 indexed citations
17.
Lykouressis, D. P., et al.. (2004). Temporal Dynamics of Otiorhynchus schlaeflini (Coleoptera: Curculionidae) Adults and Damage Assessment on Two Wine Grape Cultivars. Journal of Economic Entomology. 97(1). 59–66. 1 indexed citations
18.
Lykouressis, D. P., et al.. (2004). Temporal Dynamics of <I>Otiorhynchus schlaeflini</I> (Coleoptera: Curculionidae) Adults and Damage Assessment on Two Wine Grape Cultivars. Journal of Economic Entomology. 97(1). 59–66. 1 indexed citations
19.
Margaritopoulos, John T., J. A. Tsitsipis, & D. Perdikis. (2003). Biological characteristics of the mirids Macrolophus costalis and Macrolophus pygmaeus preying on the tobacco form of Myzus persicae (Hemiptera: Aphididae). Bulletin of Entomological Research. 93(1). 39–45. 36 indexed citations
20.
Perdikis, D.. (2002). A Method for Laboratory Studies on the Polyphagous Predator <I>Macrolophus pygmaeus</I> (Hemiptera: Miridae). Journal of Economic Entomology. 95(1). 44–49. 8 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

Rankless by CCL
2026