Franca Debole

37 total papers · 855 total citations
12 papers, 390 citations indexed

About

Franca Debole is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Franca Debole has authored 12 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 3 papers in Information Systems. Recurrent topics in Franca Debole's work include Image Processing and 3D Reconstruction (5 papers), Text and Document Classification Technologies (4 papers) and Handwritten Text Recognition Techniques (4 papers). Franca Debole is often cited by papers focused on Image Processing and 3D Reconstruction (5 papers), Text and Document Classification Technologies (4 papers) and Handwritten Text Recognition Techniques (4 papers). Franca Debole collaborates with scholars based in Italy, United States and Greece. Franca Debole's co-authors include Fabrizio Sebastiani, Achille Felicetti, Ying Zhang, Μαρία Θεοδωρίδου, Gareth J. F. Jones, Anna Tonazzini, Pasquale Savino, Claudio Gennaro, Muhammad Hanif and Fausto Rabitti and has published in prestigious journals such as SHILAP Revista de lepidopterología, Language Resources and Evaluation and Journal of the American Society for Information Science and Technology.

In The Last Decade

Franca Debole

9 papers receiving 343 citations

Author Peers

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

Author						Papers	Cites
Franca Debole	339	178	71	25	21	12	390
Yue Lu	334 1.0×	162 0.9×	65 0.9×	21 0.8×	17 0.8×	9	414
José Barranquero Tolosa	312 0.9×	108 0.6×	84 1.2×	15 0.6×	53 2.5×	13	417
Chew‐Lim Tan	247 0.7×	96 0.5×	133 1.9×	31 1.2×	12 0.6×	20	363
Matthew B. Koll	271 0.8×	252 1.4×	44 0.6×	62 2.5×	22 1.0×	13	411
Paraskevi Raftopoulou	249 0.7×	124 0.7×	38 0.5×	32 1.3×	52 2.5×	17	344
Fangli Xu	310 0.9×	172 1.0×	87 1.2×	25 1.0×	21 1.0×	17	398
Buru Chang	212 0.6×	143 0.8×	110 1.5×	52 2.1×	8 0.4×	17	420
Elmar Haußmann	317 0.9×	79 0.4×	42 0.6×	28 1.1×	23 1.1×	12	353
Carl Sable	244 0.7×	91 0.5×	101 1.4×	31 1.2×	57 2.7×	12	338
Hongkui Yu	354 1.0×	104 0.6×	44 0.6×	7 0.3×	35 1.7×	9	428

Countries citing papers authored by Franca Debole

Since Specialization

Citations

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

Fields of papers citing papers by Franca Debole

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Franca Debole

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