L. Clissa

5.2k total citations
6 papers, 42 citations indexed

About

L. Clissa is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, L. Clissa has authored 6 papers receiving a total of 42 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computer Networks and Communications and 2 papers in Information Systems. Recurrent topics in L. Clissa's work include Software System Performance and Reliability (2 papers), Cell Image Analysis Techniques (2 papers) and Scientific Computing and Data Management (2 papers). L. Clissa is often cited by papers focused on Software System Performance and Reliability (2 papers), Cell Image Analysis Techniques (2 papers) and Scientific Computing and Data Management (2 papers). L. Clissa collaborates with scholars based in Italy, Switzerland and Germany. L. Clissa's co-authors include L. Rinaldi, Roberto Amici, Marco Luppi, R. Morelli, Matteo Cerri, A. Zoccoli, Stefano Lodi, Claudio Sartori, M. Lassnig and Valentin Kuznetsov and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Scientific Data.

In The Last Decade

L. Clissa

6 papers receiving 41 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
L. Clissa Italy	3	19	12	11	11	10	6	42
Steffen Wolf Germany	5	20 1.1×	13 1.1×	16 1.5×	5 0.5×	26 2.6×	13	73
Leonid Kostrykin Germany	3	14 0.7×	12 1.0×	12 1.1×	3 0.3×	2 0.2×	3	19
Nathalie Gaudreault United States	2	18 0.9×	3 0.3×	4 0.4×	8 0.7×	11 1.1×	6	25
Ardhendu Shekhar Tripathi Switzerland	4	11 0.6×	33 2.8×	50 4.5×	9 0.8×	5 0.5×	4	58
Hagar Hussein Egypt	4	10 0.5×	14 1.2×	2 0.2×	5 0.5×	7 0.7×	6	34
C. J. S. Webber United Kingdom	5	14 0.7×	19 1.6×	8 0.7×	3 0.3×	3 0.3×	9	42
Biraja Ghoshal United Kingdom	4	7 0.4×	45 3.8×	12 1.1×	4 0.4×	4 0.4×	5	83
Bingzheng Wei China	5	3 0.2×	42 3.5×	34 3.1×	5 0.5×	5 0.5×	9	70
F. Mohamad Idris Malaysia	3	11 0.6×	3 0.3×	20 1.8×	20 1.8×	1 0.1×	3	32
Kannappan Palaniappan United States	2	9 0.5×	5 0.4×	10 0.9×	4 0.4×	1 0.1×	3	18

Countries citing papers authored by L. Clissa

Since Specialization

Citations

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

Fields of papers citing papers by L. Clissa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L. Clissa

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

All Works

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6 of 6 papers shown

1.

Clissa, L., et al.. (2024). An efficient quantum algorithm for ensemble classification using bagging. SHILAP Revista de lepidopterología. 5(3). 253–268. 2 indexed citations

2.

Clissa, L., R. Morelli, Alessandra Occhinegro, et al.. (2024). Fluorescent Neuronal Cells v2: multi-task, multi-format annotations for deep learning in microscopy. Scientific Data. 11(1). 184–184. 3 indexed citations

3.

Clissa, L., M. Lassnig, & L. Rinaldi. (2023). How big is Big Data? A comprehensive survey of data production, storage, and streaming in science and industry. Frontiers in Big Data. 6. 1271639–1271639. 2 indexed citations

4.

Clissa, L., M. Lassnig, & L. Rinaldi. (2022). Analyzing WLCG File Transfer Errors Through Machine Learning. CERN Document Server (European Organization for Nuclear Research). 6(1). 1 indexed citations

5.

Morelli, R., L. Clissa, Roberto Amici, et al.. (2021). Automating cell counting in fluorescent microscopy through deep learning with c-ResUnet. Scientific Reports. 11(1). 22920–22920. 31 indexed citations

6.

Vale, T. Dias Do, F. Legger, J. Schovancova, et al.. (2020). Operational Intelligence for Distributed Computing Systems for Exascale Science. SHILAP Revista de lepidopterología. 245. 3017–3017. 3 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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