I. Lukovits

2.5k total citations · 1 hit paper
27 papers, 2.1k citations indexed

About

I. Lukovits is a scholar working on Organic Chemistry, Geometry and Topology and Computational Theory and Mathematics. According to data from OpenAlex, I. Lukovits has authored 27 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Organic Chemistry, 8 papers in Geometry and Topology and 8 papers in Computational Theory and Mathematics. Recurrent topics in I. Lukovits's work include Computational Drug Discovery Methods (8 papers), Graph theory and applications (8 papers) and Corrosion Behavior and Inhibition (6 papers). I. Lukovits is often cited by papers focused on Computational Drug Discovery Methods (8 papers), Graph theory and applications (8 papers) and Corrosion Behavior and Inhibition (6 papers). I. Lukovits collaborates with scholars based in Hungary, United States and Croatia. I. Lukovits's co-authors include E. Kálmán, F. Zucchi, Douglas J. Klein, İvan Gutman, Daniel Klein, Huijia Zhu, G. Pálinkás, Nenad Trinajsti, Imre Bakó and Abdul Shaban and has published in prestigious journals such as Chemical Physics Letters, Electrochimica Acta and Social Indicators Research.

In The Last Decade

I. Lukovits

27 papers receiving 1.9k citations

Hit Papers

Corrosion Inhibitors—Correlation Between Electronic Struc... 2001 2026 2009 2017 2001 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
I. Lukovits Hungary 14 1.3k 950 658 620 613 27 2.1k
István Lukovits Hungary 16 188 0.1× 58 0.1× 34 0.1× 336 0.5× 321 0.5× 52 795
Ilie Fishtik United States 17 564 0.4× 23 0.0× 19 0.0× 152 0.2× 20 0.0× 69 1.2k
K. Balasubramanian India 13 79 0.1× 22 0.0× 11 0.0× 113 0.2× 46 0.1× 32 379
Jinlu Li China 23 816 0.6× 58 0.1× 78 0.1× 285 0.5× 128 1.9k
Masaki Tsukamoto Japan 17 153 0.1× 66 0.1× 274 0.4× 188 0.3× 106 1.1k
David Zorrilla Spain 15 236 0.2× 26 0.0× 13 0.0× 180 0.3× 8 0.0× 46 742
John J. Watkins United States 16 84 0.1× 10 0.0× 6 0.0× 178 0.3× 45 0.1× 57 858
J. L. Weininger United States 13 543 0.4× 14 0.0× 27 0.0× 113 0.2× 2 0.0× 28 1.5k
Farnaz Heidar‐Zadeh Canada 21 577 0.5× 7 0.0× 5 0.0× 364 0.6× 5 0.0× 60 1.5k
Raphael F. Ribeiro United States 16 288 0.2× 624 0.7× 2 0.0× 578 0.9× 32 2.5k

Countries citing papers authored by I. Lukovits

Since Specialization
Citations

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

Fields of papers citing papers by I. Lukovits

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of I. Lukovits

This figure shows the co-authorship network connecting the top 25 collaborators of I. Lukovits. A scholar is included among the top collaborators of I. Lukovits 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 I. Lukovits. I. Lukovits 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.
Lukovits, I., Abdul Shaban, & E. Kálmán. (2005). Thiosemicarbazides and thiosemicarbazones: non-linear quantitative structure–efficiency model of corrosion inhibition. Electrochimica Acta. 50(20). 4128–4133. 42 indexed citations
2.
Lukovits, I., Abdul Shaban, & E. Kálmán. (2003). Corrosion Inhibitors: Quantitative Structure–Activity Relationships. Russian Journal of Electrochemistry. 39(2). 177–181. 49 indexed citations
3.
Trinajstić, Nenad, Sonja Nikolić, S. C. Basak, & I. Lukovits. (2001). Distance Indices and Their Hyper-Counterparts: Intercorrelation and Use in the Structure-Property Modeling. SAR and QSAR in environmental research. 12(1-2). 31–54. 26 indexed citations
4.
Babić, Darko, Douglas J. Klein, I. Lukovits, Sonja Nikolić, & Nenad Trinajstić. (2001). Resistance‐distance matrix: A computational algorithm and its application. International Journal of Quantum Chemistry. 90(1). 166–176. 102 indexed citations
5.
Lukovits, I., et al.. (1999). Resistance distance in regular graphs. International Journal of Quantum Chemistry. 71(3). 217–225. 101 indexed citations
6.
Lukovits, I., et al.. (1997). LKP Model of the Inhibition Mechanism of Thiourea Compounds. CORROSION. 53(12). 915–919. 126 indexed citations
7.
Zhu, Huijia, Douglas J. Klein, & I. Lukovits. (1996). Extensions of the Wiener Number. Journal of Chemical Information and Computer Sciences. 36(3). 420–428. 179 indexed citations
8.
Klein, Daniel, I. Lukovits, & İvan Gutman. (1995). On the Definition of the Hyper-Wiener Index for Cycle-Containing Structures. Journal of Chemical Information and Computer Sciences. 35(1). 50–52. 217 indexed citations
9.
Linert, Wolfgang, et al.. (1995). An algorithm for the computation of the hyper-Wiener index for the characterization and discrimination of branched acyclic molecules. Computers & Chemistry. 19(4). 395–401. 11 indexed citations
10.
Lukovits, I. & Péter Vinkler. (1995). Correct credit distribution: A model for sharing credit among coauthors. Social Indicators Research. 36(1). 91–98. 31 indexed citations
11.
Lukovits, I., E. Kálmán, & G. Pálinkás. (1995). Nonlinear Group-Contribution Models of Corrosion Inhibition. CORROSION. 51(3). 201–205. 106 indexed citations
12.
Linert, Wolfgang, et al.. (1995). Description of cyclic and branched-acyclic hydrocarbons by variants of the hyper-Wiener index. Journal of Molecular Structure THEOCHEM. 337(2). 121–127. 8 indexed citations
13.
Mayer, I., I. Lukovits, & Tamás Radnai. (1992). Hydration of cations: H-bond shortening as an electrostatic effect. Chemical Physics Letters. 188(5-6). 595–598. 18 indexed citations
14.
Lukovits, I.. (1990). Wiener Indices and Partition Coefficients of Unsaturated Hydrocarbons. Quantitative Structure-Activity Relationships. 9(3). 227–231. 11 indexed citations
15.
Maksay, G., et al.. (1982). Lorazepam and oxazepam esters. Hydrophobicity, hydrolysis rates and brain appearance.. PubMed. 32(2). 102–5. 1 indexed citations
16.
Lukovits, I., et al.. (1981). An advanced version of the dynamic receptor pattern generation model: The flux model. Biological Cybernetics. 39(2). 105–109. 4 indexed citations
17.
Lukovits, I.. (1981). Comparative studies on drug‐receptor binding of phenylethylamine derivatives using calculated group contribution constants. International Journal of Quantum Chemistry. 20(2). 429–438. 1 indexed citations
18.
Lukovits, I., et al.. (1981). Hunting of strange electronic states and structures in solids and biopolymers. International Journal of Quantum Chemistry. 20(S8). 347–357. 3 indexed citations
19.
KISS, A & I. Lukovits. (1979). Investigation of the conformation and electronic spectra of simple organic molecules by the NDDO method. Chemical Physics Letters. 65(1). 169–175. 7 indexed citations
20.
Lukovits, I., et al.. (1979). A simple model of dynamic receptor pattern generation. Biological Cybernetics. 32(3). 125–138. 29 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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