Ovidiu Ivanciuc

3.5k citations
83 papers · 2.2k indexed · h-index 28
Topics
Computational Drug Discovery Methods (54 papers)Graph theory and applications (24 papers)Free Radicals and Antioxidants (15 papers)

In The Last Decade

Ovidiu Ivanciuc

82 papers receiving 2.1k citations

Peers

Ovidiu Ivanciuc
Comparison fields: 5 of 126
  • Computational Theory and Mathematics 1.1k
  • Organic Chemistry 654
  • Geometry and Topology 606
  • Molecular Biology 584
  • Immunology and Allergy 438
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Citations per field
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Citations per year

Countries citing papers authored by Ovidiu Ivanciuc

Since Specialization
Citations

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

Fields of papers citing papers by Ovidiu Ivanciuc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ovidiu Ivanciuc

This figure shows the co-authorship network connecting the top 25 collaborators of Ovidiu Ivanciuc. A scholar is included among the top collaborators of Ovidiu Ivanciuc 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 Ovidiu Ivanciuc. Ovidiu Ivanciuc 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 0
2 7
3 33
4 46
5 48
6 69
7 15
8 87
9 39
10
Similarity Matrices Quantitative Structure-Activity Relationships for Anticonvulsant Phenylacetanilides
1
11 222
12
Building-block Computation of Wiener-type Indices for the Virtual Screening of Combinatorial Libraries
3
13
Optimum Structural Descriptors Derived from the Ivanciuc- Balaban Operator #
3
14 68
15
INTRINSIC GRAPH DISTANCES COMPARED TO EUCLIDEAN DISTANCES FOR CORRESPONDENT GRAPH EMBEDDING #
1
16 12
17
NEW TOPOLOGICAL MATRICES AND THEIR POLYNOMIALS
13
18 13
19
Design of Topological Indices. Part 3. New Identification Numbers for Chemical Structures: MINID and MINSID
4
20
Design of Topological Indices. Part 6. 1,2 A New Topological Parameter for the Steric Effect of Alkyl Substituents
7

About Ovidiu Ivanciuc

Ovidiu Ivanciuc is a scholar working on Computational Theory and Mathematics, Geometry and Topology and Immunology and Allergy, having authored 83 papers that have together received 2.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (54 papers), Graph theory and applications (24 papers) and Free Radicals and Antioxidants (15 papers). The work is most often cited by research in Immunology and Allergy (438 citations), Geometry and Topology (606 citations) and Computational Theory and Mathematics (1.1k citations). Ovidiu Ivanciuc has collaborated with scholars based in United States, Romania and France. Frequent co-authors include Alexandrù T. Balaban, Teodora Ivanciuc, Douglas J. Klein, Werner Braun, Catherine H. Schein, T. S. Balaban, Daniel Cabrol‐Bass, Petru Filip, Laimutis Bytautas and Numan Oezguen. Their work appears in journals such as Nucleic Acids Research, The Journal of Chemical Physics and Bioinformatics.

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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