L.P. Cordella

3.5k total citations · 1 hit paper
53 papers, 1.9k citations indexed

About

L.P. Cordella is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, L.P. Cordella has authored 53 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 7 papers in Signal Processing. Recurrent topics in L.P. Cordella's work include Digital Image Processing Techniques (11 papers), Image Retrieval and Classification Techniques (11 papers) and Handwritten Text Recognition Techniques (11 papers). L.P. Cordella is often cited by papers focused on Digital Image Processing Techniques (11 papers), Image Retrieval and Classification Techniques (11 papers) and Handwritten Text Recognition Techniques (11 papers). L.P. Cordella collaborates with scholars based in Italy, United Kingdom and United States. L.P. Cordella's co-authors include Carlo Sansone, Pasquale Foggia, M. Vento, Carlo Arcelli, S. Levialdi, Mario Vento, Francesco Tortorella, Claudio De Stefano, Angelo Marcelli and Gabriella Sanniti di Baja and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and IEEE Transactions on Computers.

In The Last Decade

L.P. Cordella

51 papers receiving 1.8k citations

Hit Papers

A (sub)graph isomorphism algorithm for matching large graphs 2004 2026 2011 2018 2004 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
L.P. Cordella Italy 17 1.2k 739 399 319 227 53 1.9k
M. Vento Italy 13 909 0.8× 745 1.0× 403 1.0× 346 1.1× 228 1.0× 24 1.7k
J. R. Ullmann United Kingdom 8 888 0.8× 638 0.9× 438 1.1× 357 1.1× 235 1.0× 30 1.6k
Alexandr Andoni United States 17 1.5k 1.2× 1.0k 1.4× 453 1.1× 368 1.2× 252 1.1× 57 2.4k
Sajjad Shaukat Jamal Saudi Arabia 26 1.2k 1.0× 971 1.3× 245 0.6× 504 1.6× 212 0.9× 120 2.2k
Hisao Tamaki Japan 16 359 0.3× 880 1.2× 192 0.5× 307 1.0× 472 2.1× 62 1.8k
Negar Kiyavash United States 17 472 0.4× 763 1.0× 487 1.2× 397 1.2× 88 0.4× 111 1.5k
Wook-Shin Han South Korea 22 1.2k 1.0× 1.1k 1.5× 725 1.8× 654 2.1× 120 0.5× 101 2.0k
Kai Yu Germany 23 1.1k 1.0× 1.7k 2.2× 207 0.5× 183 0.6× 104 0.5× 48 2.8k
Carrie Grimes United States 5 689 0.6× 461 0.6× 117 0.3× 409 1.3× 125 0.6× 8 1.6k
Azman Samsudin Malaysia 23 1.3k 1.1× 689 0.9× 140 0.4× 236 0.7× 376 1.7× 105 1.8k

Countries citing papers authored by L.P. Cordella

Since Specialization
Citations

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

Fields of papers citing papers by L.P. Cordella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L.P. Cordella. 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 L.P. Cordella. The network helps show where L.P. Cordella may publish in the future.

Co-authorship network of co-authors of L.P. Cordella

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

All Works

20 of 20 papers shown
1.
Tamantini, Christian, et al.. (2023). A Semiautonomous Control Strategy Based on Computer Vision for a Hand–Wrist Prosthesis. Robotics. 12(6). 152–152. 5 indexed citations
2.
Arcelli, Carlo, L.P. Cordella, & Leila De Floriani. (2015). Looking for Visual Primitives. Hrčak Portal of scientific journals of Croatia (University Computing Centre). 3(4). 215–227. 2 indexed citations
3.
Arcelli, Carlo, L.P. Cordella, & Gabriella Sanniti di Baja. (2013). Visual Form: Analysis and Recognition. Plenum Press eBooks. 1 indexed citations
4.
Cordella, L.P., Claudio De Stefano, Francesco Fontanella, & Angelo Marcelli. (2013). EvoGeneSys, a new evolutionary approach to graph generation. Applied Soft Computing. 13(4). 1922–1938. 1 indexed citations
5.
Cordella, L.P., et al.. (2010). Writing Order Recovery from Off-Line Handwriting by Graph Traversal. 1896–1899. 12 indexed citations
6.
Cordella, L.P., Claudio De Stefano, & Francesco Fontanella. (2007). EVOLUTIONARY PROTOTYPING FOR HANDWRITING RECOGNITION. International Journal of Pattern Recognition and Artificial Intelligence. 21(1). 157–178. 3 indexed citations
7.
Cordella, L.P. & Carlo Sansone. (2006). A multi-stage classification system for detecting intrusions in computer networks. Pattern Analysis and Applications. 10(2). 83–100. 12 indexed citations
8.
Cordella, L.P., Pasquale Foggia, Carlo Sansone, & M. Vento. (2004). A (sub)graph isomorphism algorithm for matching large graphs. IEEE Transactions on Pattern Analysis and Machine Intelligence. 26(10). 1367–1372. 874 indexed citations breakdown →
9.
Cordella, L.P., Claudio De Stefano, Antonio Della Cioppa, & Angelo Marcelli. (2003). A new evolutionary learning model for handwritten character prototyping. 27 28. 830–835. 1 indexed citations
10.
Cordella, L.P., Pasquale Foggia, Carlo Sansone, & M. Vento. (2002). Fast graph matching for detecting CAD image components. 2. 1034–1037. 15 indexed citations
11.
Cordella, L.P., et al.. (2002). Knowledge based search of character strings in line drawings. 2. 589–591.
12.
Cordella, L.P., et al.. (2002). Automatic lettering of cadastral maps. 129–132. 1 indexed citations
13.
Cordella, L.P. & M. Vento. (2000). Symbol recognition in documents: a collection of techniques?. International Journal on Document Analysis and Recognition (IJDAR). 3(2). 73–88. 50 indexed citations
14.
Cordella, L.P., Pasquale Foggia, Carlo Sansone, Francesco Tortorella, & Mario Vento. (1999). Reliability Parameters to Improve Combination Strategies in Multi-Expert Systems. Pattern Analysis and Applications. 2(3). 205–214. 58 indexed citations
15.
Arcelli, Carlo, L.P. Cordella, & Gabriella Sanniti di Baja. (1999). Special issue on visual form. Image and Vision Computing. 17(5-6). 335–335. 1 indexed citations
16.
Cordella, L.P., Claudio De Stefano, Francesco Tortorella, & Mario Vento. (1995). A method for improving classification reliability of multilayer perceptrons. IEEE Transactions on Neural Networks. 6(5). 1140–1147. 57 indexed citations
17.
Cordella, L.P., Claudio De Stefano, & Mario Vento. (1995). A neural network classifier for OCR using structural descriptions. Machine Vision and Applications. 8(5). 336–342. 2 indexed citations
18.
Boccignone, Giuseppe, A. Chianese, L.P. Cordella, & Angelo Marcelli. (1993). Recovering dynamic information from static handwriting. Pattern Recognition. 26(3). 409–418. 71 indexed citations
19.
Arcelli, Carlo, L.P. Cordella, & S. Levialdi. (1981). From Local Maxima to Connected Skeletons. IEEE Transactions on Pattern Analysis and Machine Intelligence. PAMI-3(2). 134–143. 68 indexed citations
20.
Arcelli, Carlo & L.P. Cordella. (1974). Concavity Point Detection by Iterative Arrays. Computer Graphics and Image Processing. 3(1). 34–47. 16 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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