Maria Christakis

81 total papers · 1.1k total citations
25 papers, 383 citations indexed

About

Maria Christakis is a scholar working on Software, Artificial Intelligence and Information Systems. According to data from OpenAlex, Maria Christakis has authored 25 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Software, 11 papers in Artificial Intelligence and 8 papers in Information Systems. Recurrent topics in Maria Christakis's work include Software Testing and Debugging Techniques (18 papers), Software Reliability and Analysis Research (9 papers) and Software Engineering Research (8 papers). Maria Christakis is often cited by papers focused on Software Testing and Debugging Techniques (18 papers), Software Reliability and Analysis Research (9 papers) and Software Engineering Research (8 papers). Maria Christakis collaborates with scholars based in Germany, Austria and Switzerland. Maria Christakis's co-authors include Christian Bird, Valentin Wüstholz, Fuyuan Zhang, Peter Müller, Konstantinos Sagonas, Alkis Gotovos, Caterina Urban, Péter Müller, Işıl Dillig and Scott Fleming and has published in prestigious journals such as Proceedings of the ACM on Programming Languages, it - Information Technology and Repository for Publications and Research Data (ETH Zurich).

In The Last Decade

Maria Christakis

23 papers receiving 375 citations

Author Peers

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

Author Last Decade Papers Cites
Maria Christakis 236 198 124 122 50 25 383
Sæmundur Ó. Haraldsson 202 0.9× 169 0.9× 140 1.1× 45 0.4× 41 0.8× 23 354
Pietro Braione 288 1.2× 270 1.4× 53 0.4× 72 0.6× 79 1.6× 20 380
Wuwei Shen 319 1.4× 242 1.2× 147 1.2× 103 0.8× 74 1.5× 30 433
Jean-Yves Marion 85 0.4× 152 0.8× 200 1.6× 187 1.5× 131 2.6× 22 370
Martha Branstad 169 0.7× 179 0.9× 150 1.2× 48 0.4× 74 1.5× 16 370
Upulee Kanewala 245 1.0× 183 0.9× 65 0.5× 34 0.3× 72 1.4× 22 334
Tihomir Gvero 259 1.1× 277 1.4× 162 1.3× 41 0.3× 64 1.3× 16 387
Aditya Kanade 218 0.9× 144 0.7× 110 0.9× 68 0.6× 100 2.0× 16 371
Gogul Balakrishnan 242 1.0× 221 1.1× 210 1.7× 185 1.5× 87 1.7× 18 443
Ju Qian 238 1.0× 215 1.1× 82 0.7× 88 0.7× 106 2.1× 28 333

Countries citing papers authored by Maria Christakis

Since Specialization
Citations

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

Fields of papers citing papers by Maria Christakis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Christakis

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