Tamara Mchedlidze

127 total papers · 514 total citations
29 papers, 75 citations indexed

About

Tamara Mchedlidze is a scholar working on Computer Graphics and Computer-Aided Design, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Tamara Mchedlidze has authored 29 papers receiving a total of 75 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Graphics and Computer-Aided Design, 13 papers in Computational Theory and Mathematics and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Tamara Mchedlidze's work include Computational Geometry and Mesh Generation (20 papers), Advanced Graph Theory Research (12 papers) and 3D Modeling in Geospatial Applications (7 papers). Tamara Mchedlidze is often cited by papers focused on Computational Geometry and Mesh Generation (20 papers), Advanced Graph Theory Research (12 papers) and 3D Modeling in Geospatial Applications (7 papers). Tamara Mchedlidze collaborates with scholars based in Germany, Italy and Greece. Tamara Mchedlidze's co-authors include Claus‐Christian Carbon, Antonios Symvonis, Emilio Di Giacomo, Michael Kaufmann, Giuseppe Liotta, Martin Nöllenburg, Stephen Kobourov, Patrizio Angelini, Ignaz Rutter and Sabine Cornelsen and has published in prestigious journals such as SHILAP Revista de lepidopterología, SIAM Journal on Computing and Theoretical Computer Science.

In The Last Decade

Tamara Mchedlidze

22 papers receiving 73 citations

Author Peers

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

Author						Papers	Cites
Tamara Mchedlidze	33	25	24	11	9	29	75
Luis Barba	52 1.6×	30 1.2×	17 0.7×	10 0.9×	9 1.0×	32	133
André van Renssen	26 0.8×	24 1.0×	18 0.8×	14 1.3×	7 0.8×	26	75
Giordano Da Lozzo	50 1.5×	27 1.1×	45 1.9×	9 0.8×	3 0.3×	34	69
Tillmann Miltzow	50 1.5×	15 0.6×	45 1.9×	10 0.9×	3 0.3×	27	103
Jean-Lou De Carufel	40 1.2×	20 0.8×	22 0.9×	14 1.3×	7 0.8×	32	83
Andrew Suk	77 2.3×	32 1.3×	97 4.0×	19 1.7×	7 0.8×	34	127
Radoslav Fulek	79 2.4×	42 1.7×	57 2.4×	10 0.9×	6 0.7×	29	108
Gyula Károlyi	74 2.2×	23 0.9×	133 5.5×	5 0.5×	4 0.4×	33	218
Steven Chaplick	30 0.9×	9 0.4×	52 2.2×	21 1.9×	1 0.1×	24	67
R. P. Bambah	29 0.9×	17 0.7×	59 2.5×	15 1.4×		29	213

Countries citing papers authored by Tamara Mchedlidze

Since Specialization

Citations

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

Fields of papers citing papers by Tamara Mchedlidze

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamara Mchedlidze

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