Efthymios I. Ioannidis

588 total citations
7 papers, 401 citations indexed

About

Efthymios I. Ioannidis is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics. According to data from OpenAlex, Efthymios I. Ioannidis has authored 7 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Atomic and Molecular Physics, and Optics and 2 papers in Computational Theory and Mathematics. Recurrent topics in Efthymios I. Ioannidis's work include Machine Learning in Materials Science (2 papers), Computational Drug Discovery Methods (2 papers) and Advanced Chemical Physics Studies (2 papers). Efthymios I. Ioannidis is often cited by papers focused on Machine Learning in Materials Science (2 papers), Computational Drug Discovery Methods (2 papers) and Advanced Chemical Physics Studies (2 papers). Efthymios I. Ioannidis collaborates with scholars based in United States. Efthymios I. Ioannidis's co-authors include Heather J. Kulik, Terry Z. H. Gani, Qing Zhao, Jon Paul Janet, Niladri Patra and Adam H. Steeves and has published in prestigious journals such as The Journal of Chemical Physics, PLoS ONE and Chemistry of Materials.

In The Last Decade

Efthymios I. Ioannidis

7 papers receiving 400 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Efthymios I. Ioannidis United States 7 285 102 92 84 75 7 401
Yosuke Sumiya Japan 11 161 0.6× 72 0.7× 73 0.8× 52 0.6× 71 0.9× 13 416
Stefan Heinen Canada 6 263 0.9× 152 1.5× 33 0.4× 33 0.4× 65 0.9× 12 303
Justin K. Kirkland United States 6 203 0.7× 42 0.4× 62 0.7× 119 1.4× 35 0.5× 19 419
Ali Hashemi Netherlands 5 170 0.6× 38 0.4× 53 0.6× 101 1.2× 34 0.5× 7 392
Surajit Nandi India 13 265 0.9× 32 0.3× 46 0.5× 41 0.5× 45 0.6× 22 473
Tamara Husch Switzerland 13 182 0.6× 68 0.7× 76 0.8× 40 0.5× 49 0.7× 17 528
Boodsarin Sawatlon Switzerland 11 308 1.1× 109 1.1× 16 0.2× 134 1.6× 47 0.6× 11 526
Jessica Freeze United States 5 139 0.5× 50 0.5× 100 1.1× 29 0.3× 21 0.3× 7 302
Daniel W. Trahan United States 10 198 0.7× 110 1.1× 33 0.4× 91 1.1× 62 0.8× 17 573
Samuel J. Stoneburner United States 12 300 1.1× 29 0.3× 153 1.7× 276 3.3× 22 0.3× 14 547

Countries citing papers authored by Efthymios I. Ioannidis

Since Specialization
Citations

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

Fields of papers citing papers by Efthymios I. Ioannidis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Efthymios I. Ioannidis. 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 Efthymios I. Ioannidis. The network helps show where Efthymios I. Ioannidis may publish in the future.

Co-authorship network of co-authors of Efthymios I. Ioannidis

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

All Works

7 of 7 papers shown
1.
Janet, Jon Paul, Terry Z. H. Gani, Adam H. Steeves, Efthymios I. Ioannidis, & Heather J. Kulik. (2017). Leveraging Cheminformatics Strategies for Inorganic Discovery: Application to Redox Potential Design. Industrial & Engineering Chemistry Research. 56(17). 4898–4910. 42 indexed citations
2.
Ioannidis, Efthymios I. & Heather J. Kulik. (2017). Ligand-Field-Dependent Behavior of Meta-GGA Exchange in Transition-Metal Complex Spin-State Ordering. The Journal of Physical Chemistry A. 121(4). 874–884. 45 indexed citations
3.
Patra, Niladri, Efthymios I. Ioannidis, & Heather J. Kulik. (2016). Computational Investigation of the Interplay of Substrate Positioning and Reactivity in Catechol O-Methyltransferase. PLoS ONE. 11(8). e0161868–e0161868. 35 indexed citations
4.
Ioannidis, Efthymios I., Terry Z. H. Gani, & Heather J. Kulik. (2016). molSimplify: A toolkit for automating discovery in inorganic chemistry. Journal of Computational Chemistry. 37(22). 2106–2117. 173 indexed citations
5.
Zhao, Qing, Efthymios I. Ioannidis, & Heather J. Kulik. (2016). Global and local curvature in density functional theory. The Journal of Chemical Physics. 145(5). 54109–54109. 48 indexed citations
6.
Janet, Jon Paul, Qing Zhao, Efthymios I. Ioannidis, & Heather J. Kulik. (2016). Density functional theory for modelling large molecular adsorbate–surface interactions: a mini-review and worked example. Molecular Simulation. 43(5-6). 327–345. 39 indexed citations
7.
Gani, Terry Z. H., Efthymios I. Ioannidis, & Heather J. Kulik. (2016). Computational Discovery of Hydrogen Bond Design Rules for Electrochemical Ion Separation. Chemistry of Materials. 28(17). 6207–6218. 19 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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