Lionello Pogliani

115 papers receiving 1.8k citations

Peers

Lionello Pogliani
Comparison fields: 5 of 144
  • Computational Theory and Mathematics 812
  • Organic Chemistry 607
  • Molecular Biology 440
  • Geometry and Topology 377
  • Spectroscopy 295
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Countries citing papers authored by Lionello Pogliani

Since Specialization
Citations

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

Fields of papers citing papers by Lionello Pogliani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lionello Pogliani

This figure shows the co-authorship network connecting the top 25 collaborators of Lionello Pogliani. A scholar is included among the top collaborators of Lionello Pogliani 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 Lionello Pogliani. Lionello Pogliani 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
#WorkIndexed citations
1 5
2 8
3 21
4
THE INTRIGUING HUMAN PREFERENCE FOR A TERNARY PATTERNED REALITY
2
5
A Chemical Graph Model Study of The Partition Coefficient of Halogenated Carbocompounds
1
6
Modeling with Indices Obtained from Complete Graphs
5
7
What Can Be Said about the Number 13 beyond the Fact that It Is a Prime Number
2
8 10
9
Higher-level Descriptors in Molecular Connectivity
1
10
Modeling Enthalpy and Hydration Properties of Inorganic Compounds
1
11 32
12 80
13 9
14 32
15 2
16
STUDY OF (1-ALKOXYETHYL) DIPHENYLPHOSPHINE OXIDES. IV, CONCLUSIEVE CONFORMATIONAL STUDY BY NMR AND MOLECULAR MECHANICS CALCULATIONS
2
17
Study of (1-alkoxyethyl)diphenylphosphine oxides. III. Nuclear magnetic resonance analysis.
1
18 8
19 1
20 89

About Lionello Pogliani

Lionello Pogliani is a scholar working on Theoretical Computer Science, Computational Theory and Mathematics and Physical and Theoretical Chemistry, having authored 121 papers that have together received 1.9k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (41 papers), Molecular spectroscopy and chirality (23 papers) and Free Radicals and Antioxidants (18 papers). The work is most often cited by research in Computational Theory and Mathematics (812 citations), Geometry and Topology (377 citations) and Physical and Theoretical Chemistry (231 citations). Lionello Pogliani has collaborated with scholars based in Italy, Portugal and Spain. Frequent co-authors include Mário N. Berberan‐Santos, Jesus Vicente de Julián‐Ortiz, Е. Н. Бодунов, Jorge Gálvez, Ramón García‐Domenech, Vlasta Bonačić‐Koutecký, Robert J. Buenker, J.-P. Valat, D. Ziessow and J. M. G. Martinho. Their work appears in journals such as Chemical Reviews, Journal of the American Chemical Society and The Journal of Chemical Physics.

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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