Leonid Kalachev

1.1k total citations
58 papers, 804 citations indexed

About

Leonid Kalachev is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Leonid Kalachev has authored 58 papers receiving a total of 804 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Numerical Analysis, 10 papers in Computational Theory and Mathematics and 8 papers in Molecular Biology. Recurrent topics in Leonid Kalachev's work include Differential Equations and Numerical Methods (13 papers), Advanced Mathematical Modeling in Engineering (8 papers) and Nonlinear Dynamics and Pattern Formation (7 papers). Leonid Kalachev is often cited by papers focused on Differential Equations and Numerical Methods (13 papers), Advanced Mathematical Modeling in Engineering (8 papers) and Nonlinear Dynamics and Pattern Formation (7 papers). Leonid Kalachev collaborates with scholars based in United States, Finland and Australia. Leonid Kalachev's co-authors include A. B. Vasil’eva, В. Ф. Бутузов, Hans P. A. Van Dongen, Peter McCauley, David F. Dinges, Richard J. Field, Heikki Haario, Gregory Belenky, D.C. Rijken and Siobhan Banks and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Leonid Kalachev

51 papers receiving 731 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Leonid Kalachev United States	13	206	159	131	88	85	58	804
John W. Lee United States	10	59 0.3×	38 0.2×	46 0.4×	10 0.1×	70 0.8×	41	600
Joan R. Westlake United States	10	30 0.1×	79 0.5×	86 0.7×	58 0.7×	9 0.1×	15	836
Karl Michael Schmidt United Kingdom	14	70 0.3×	9 0.1×	96 0.7×	25 0.3×	122 1.4×	56	697
Yue Liu China	27	68 0.3×	5 0.0×	18 0.1×	77 0.9×	149 1.8×	104	2.5k
Changjun Li China	18	30 0.1×	45 0.3×	46 0.4×	423 4.8×	4 0.0×	129	1.6k
Dean Korošak Slovenia	15	161 0.8×	4 0.0×	24 0.2×	61 0.7×	102 1.2×	40	1.0k
Jaime Cisternas Chile	15	15 0.1×	15 0.1×	15 0.1×	110 1.3×	10 0.1×	63	677
Joseph B. Keller United States	16	7 0.0×	28 0.2×	28 0.2×	247 2.8×	30 0.4×	27	1.0k

Countries citing papers authored by Leonid Kalachev

Since Specialization

Citations

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

Fields of papers citing papers by Leonid Kalachev

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leonid Kalachev

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

All Works

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20 of 20 papers shown

Kalachev, Leonid, et al.. (2024). A simple modification to the classical SIR model to estimate the proportion of under-reported infections using case studies in flu and COVID-19. Infectious Disease Modelling. 9(4). 1147–1162. 1 indexed citations

McCauley, Peter, et al.. (2024). The dynamics of neurobehavioral impairment and recovery sleep: improved biomathematical modeling for fatigue risk management in operational settings. SHILAP Revista de lepidopterología. 3.

Hicke, Jeffrey A., et al.. (2023). An evaluation of climate influences on balsam woolly adelgid infestations in Idaho. Forest Ecology and Management. 534. 120849–120849. 4 indexed citations

McCauley, Peter, et al.. (2023). 0190 Propensity for Sleep Inertia during Sleep and Its Manifestation After Awakening in a Dynamic Biomathematical Fatigue Model. SLEEP. 46(Supplement_1). A84–A84.

Kalachev, Leonid, Erin L. Landguth, & Jon Graham. (2022). Revisiting classical SIR modelling in light of the COVID-19 pandemic. Infectious Disease Modelling. 8(1). 72–83. 14 indexed citations

Battiston, Kyle G., Hans Fischer, Fan Gu, et al.. (2021). Polymer-free corticosteroid dimer implants for controlled and sustained drug delivery. Nature Communications. 12(1). 2875–2875. 32 indexed citations

McCauley, Peter, Samantha M. Riedy, Siobhan Banks, et al.. (2021). Fatigue risk management based on self-reported fatigue: Expanding a biomathematical model of fatigue-related performance deficits to also predict subjective sleepiness. Transportation Research Part F Traffic Psychology and Behaviour. 79. 94–106. 13 indexed citations

Kavanaugh, Michael P., et al.. (2016). MODELING OF AMBIENT GLUTAMATE CONCENTRATION MEASUREMENT IN THE MAMMALIAN NERVOUS SYSTEM. The Mathematics Enthusiast. 717–730. 1 indexed citations

Haario, Heikki, Leonid Kalachev, & Janne Hakkarainen. (2015). Generalized correlation integral vectors: A distance concept for chaotic dynamical systems. Chaos An Interdisciplinary Journal of Nonlinear Science. 25(6). 63102–63102. 14 indexed citations

10.

Sun, Weinan, et al.. (2014). Glutamate transporter control of ambient glutamate levels. Neurochemistry International. 73. 146–151. 27 indexed citations

11.

Holley, David C., et al.. (2011). The central cavity in trimeric glutamate transporters restricts ligand diffusion. Proceedings of the National Academy of Sciences. 108(36). 14980–14985. 12 indexed citations

12.

Kalachev, Leonid, et al.. (2010). Analysis of threshold-type behaviour in mathematical models of the intrusion of a novel macroparasite in a host colony. Mathematical Medicine and Biology A Journal of the IMA. 28(4). 287–333. 3 indexed citations

13.

Haario, Heikki, Leonid Kalachev, & Marko Laine. (2009). Reduced Models of Algae Growth. Bulletin of Mathematical Biology. 71(7). 1626–1648. 23 indexed citations

14.

McCauley, Peter, et al.. (2008). A new mathematical model for the homeostatic effects of sleep loss on neurobehavioral performance. Journal of Theoretical Biology. 256(2). 227–239. 96 indexed citations

15.

Kalachev, Leonid, et al.. (2007). Reduction for Michaelis-Menten-Henri kinetics in the presence of diffusion. Electronic Journal of Differential Equations. 2007. 155–184. 4 indexed citations

16.

Derrick, William R., Leonid Kalachev, & Joseph A. Cima. (2006). Collapsing heat waves. Mathematical and Computer Modelling. 46(5-6). 612–624.

17.

Kalachev, Leonid, et al.. (2001). A Method to Determine the Dimension of Long-Time Dynamics in Multi-Scale Systems. Journal of Mathematical Chemistry. 30(2). 133–160. 8 indexed citations

18.

Haario, Heikki, Leonid Kalachev, Tapio Salmi, & Juha Lehtonen. (1999). Asymptotic analysis of chemical reactions. Chemical Engineering Journal. 54(3). 1131–1143. 1 indexed citations

19.

Seidman, Thomas I. & Leonid Kalachev. (1997). A One-Dimensional Reaction/Diffusion System with a Fast Reaction. Journal of Mathematical Analysis and Applications. 209(2). 392–414. 12 indexed citations

20.

Sneyd, James & Leonid Kalachev. (1994). A profile analysis of propagating calcium waves. Cell Calcium. 15(4). 289–296. 7 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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