Theodore Pachidis

65 total papers · 1.3k total citations
51 papers, 848 citations indexed

About

Theodore Pachidis is a scholar working on Plant Science, Mechanical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Theodore Pachidis has authored 51 papers receiving a total of 848 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Plant Science, 12 papers in Mechanical Engineering and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Theodore Pachidis's work include Smart Agriculture and AI (20 papers), Horticultural and Viticultural Research (8 papers) and Robotics and Sensor-Based Localization (6 papers). Theodore Pachidis is often cited by papers focused on Smart Agriculture and AI (20 papers), Horticultural and Viticultural Research (8 papers) and Robotics and Sensor-Based Localization (6 papers). Theodore Pachidis collaborates with scholars based in Greece, United Kingdom and Croatia. Theodore Pachidis's co-authors include Vassilis G. Kaburlasos, Εleni Vrochidou, George A. Papakostas, J.N. Lygouras, Τheofanis Kalampokas, Vassilis Kodogiannis, Chris Lytridis, Stéfanos Koundouras, Spyridon Mamalis and C.S. Koukourlis and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Energy and Sensors.

In The Last Decade

Theodore Pachidis

50 papers receiving 818 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Theodore Pachidis 432 144 131 101 96 51 848
Jidong Lv 511 1.2× 122 0.8× 125 1.0× 155 1.5× 77 0.8× 48 790
Εleni Vrochidou 500 1.2× 122 0.8× 87 0.7× 122 1.2× 95 1.0× 82 945
Qingchun Feng 712 1.6× 214 1.5× 108 0.8× 80 0.8× 76 0.8× 65 990
Chris Lehnert 599 1.4× 151 1.0× 149 1.1× 55 0.5× 81 0.8× 29 821
Luis Emmi 576 1.3× 153 1.1× 99 0.8× 54 0.5× 142 1.5× 32 919
Marcel Tresánchez 296 0.7× 122 0.8× 183 1.4× 85 0.8× 127 1.3× 47 887
S. S. Mehta 333 0.8× 99 0.7× 198 1.5× 60 0.6× 37 0.4× 66 811
R. Barth 743 1.7× 218 1.5× 122 0.9× 82 0.8× 109 1.1× 18 961
Ole Green 390 0.9× 146 1.0× 76 0.6× 41 0.4× 114 1.2× 52 1.0k
Hongkun Tian 339 0.8× 69 0.5× 170 1.3× 100 1.0× 118 1.2× 20 766

Countries citing papers authored by Theodore Pachidis

Since Specialization
Citations

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

Fields of papers citing papers by Theodore Pachidis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Theodore Pachidis

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

All Works

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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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