L. Clissa

5.2k citations
6 papers · 42 · h-index 3

Impact in

    • Cell Image Analysis Techniques
    • Advanced Fluorescence Microscopy Techniques
    • Image Processing Techniques and Applications

Papers in

L. Clissa

6 papers receiving 41 citations

Peers

L. Clissa
Comparison fields: 5 of 29
  • Biophysics 19
  • Media Technology 11
  • Structural Biology 1
  • Computer Vision and Pattern Recognition 11
  • Artificial Intelligence 12
Replace Leonid Kostrykin with:
Leonid Kostrykin Germany
Ardhendu Shekhar Tripathi Switzerland
F. Mohamad Idris Malaysia
Kannappan Palaniappan United States
Nathalie Gaudreault United States
Hagar Hussein Egypt
Biraja Ghoshal United Kingdom
C. J. S. Webber United Kingdom
Steffen Wolf Germany
Bingzheng Wei China
L. Clissa relative to Leonid Kostrykin Germany Leonid Kostrykin's profile →
Citations per field
00.5×5.5×
Leonid Kostrykin · 1×
Citations per year

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-authors

The 20 scholars most cited alongside L. Clissa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with L. Clissa Line = papers co-authored together L. Clissa links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 202131
2 20243
3 20203
4 20242
5 20232
6 20221

About L. Clissa

L. Clissa is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Information Systems and Management and Biophysics, having authored 6 papers that have together received 42 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (2 papers), Scientific Computing and Data Management (2 papers), Software System Performance and Reliability (2 papers), Single-cell and spatial transcriptomics (1 paper), Data Stream Mining Techniques (1 paper), Quantum Computing Algorithms and Architecture (1 paper), Cloud Computing and Resource Management (1 paper) and Image Processing Techniques and Applications (1 paper). The work is most often cited by research in Biophysics (19 citations), Media Technology (11 citations), Structural Biology (1 citation), Computer Vision and Pattern Recognition (11 citations) and Artificial Intelligence (12 citations). L. Clissa has collaborated with scholars based in Italy, Switzerland and Germany. Frequent co-authors include L. Rinaldi, R. Morelli, A. Zoccoli, Marco Luppi, Roberto Amici, Matteo Cerri, Stefano Lodi, M. Lassnig, Claudio Sartori and T. Diotalevi. Their work appears in journals such as Scientific Data, Scientific Reports, Frontiers in Big Data, SHILAP Revista de lepidopterología and CERN Document Server (European Organization for Nuclear Research).

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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