Cristiano Russo

56 total papers · 431 total citations
32 papers, 205 citations indexed

About

Cristiano Russo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Cristiano Russo has authored 32 papers receiving a total of 205 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 4 papers in Molecular Biology. Recurrent topics in Cristiano Russo's work include Image Retrieval and Classification Techniques (14 papers), Advanced Image and Video Retrieval Techniques (12 papers) and Semantic Web and Ontologies (11 papers). Cristiano Russo is often cited by papers focused on Image Retrieval and Classification Techniques (14 papers), Advanced Image and Video Retrieval Techniques (12 papers) and Semantic Web and Ontologies (11 papers). Cristiano Russo collaborates with scholars based in Italy, France and United States. Cristiano Russo's co-authors include Antonio M. Rinaldi, Kurosh Madani, Francesco Merolla, Domenico Amalfitano, Stefania Staibano, Christophe Sabourin, Daniela Pacella, Francesco Ciompi, Vincenzo Abbate and Giorgio Novelli and has published in prestigious journals such as Expert Systems with Applications, Computers and Electronics in Agriculture and Journal of Biomedical Informatics.

In The Last Decade

Cristiano Russo

27 papers receiving 176 citations

Author Peers

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

Author						Papers	Cites
Cristiano Russo	115	99	31	20	15	32	205
Pavel Kordík	36 0.3×	105 1.1×	31 1.0×	19 0.9×	10 0.7×	31	216
Dibya Jyoti Bora	64 0.6×	70 0.7×	35 1.1×	11 0.6×	9 0.6×	23	198
Bei Li	137 1.2×	136 1.4×	18 0.6×	9 0.5×	7 0.5×	29	262
Mario Döller	99 0.9×	41 0.4×	22 0.7×	34 1.7×	6 0.4×	37	186
Dumitru Dan Burdescu	73 0.6×	46 0.5×	50 1.6×	15 0.8×	5 0.3×	44	161
Xueqiang Lv	59 0.5×	125 1.3×	36 1.2×	14 0.7×	7 0.5×	38	217
Jiayu Wang	77 0.7×	56 0.6×	15 0.5×	28 1.4×	7 0.5×	27	219
Muhammad Imad	37 0.3×	46 0.5×	19 0.6×	34 1.7×	12 0.8×	26	192
Lingyun Song	119 1.0×	154 1.6×	28 0.9×	16 0.8×	4 0.3×	24	250
Alexander G. Chefranov	128 1.1×	116 1.2×	26 0.8×	10 0.5×	17 1.1×	34	221

Countries citing papers authored by Cristiano Russo

Since Specialization

Citations

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

Fields of papers citing papers by Cristiano Russo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cristiano Russo

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