Trilok Mathur

443 total citations
32 papers, 292 citations indexed

About

Trilok Mathur is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Management Science and Operations Research. According to data from OpenAlex, Trilok Mathur has authored 32 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Modeling and Simulation, 10 papers in Public Health, Environmental and Occupational Health and 8 papers in Management Science and Operations Research. Recurrent topics in Trilok Mathur's work include Fractional Differential Equations Solutions (17 papers), Mathematical and Theoretical Epidemiology and Ecology Models (10 papers) and COVID-19 epidemiological studies (6 papers). Trilok Mathur is often cited by papers focused on Fractional Differential Equations Solutions (17 papers), Mathematical and Theoretical Epidemiology and Ecology Models (10 papers) and COVID-19 epidemiological studies (6 papers). Trilok Mathur collaborates with scholars based in India, Malaysia and Australia. Trilok Mathur's co-authors include Shivi Agarwal, Kamlesh Tiwari, Phalguni Gupta, Narinderjit Singh Sawaran Singh, Swati Goyal, Gholam R. Amin, Hari Mohan Pandey, Sanjoy Kumar Paul, Vinay Chamola and Homan Emadifar and has published in prestigious journals such as Scientific Reports, Sustainability and Neurocomputing.

In The Last Decade

Trilok Mathur

29 papers receiving 273 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Trilok Mathur India	9	143	64	43	43	38	32	292
Aimé Lachapelle France	3	50 0.3×	23 0.4×	33 0.8×	35 0.8×	89 2.3×	3	367
Muhammad Zaini Ahmad Malaysia	13	173 1.2×	15 0.2×	147 3.4×	102 2.4×	71 1.9×	66	455
Daniel Andersson Sweden	7	36 0.3×	8 0.1×	19 0.4×	91 2.1×	47 1.2×	27	330
Xiushan Jiang China	10	35 0.2×	30 0.5×	12 0.3×	29 0.7×	188 4.9×	33	361
Nguyen Dinh Phu Vietnam	11	107 0.7×	10 0.2×	152 3.5×	43 1.0×	120 3.2×	37	385
K. H. Wong South Africa	10	22 0.2×	13 0.2×	13 0.3×	19 0.4×	140 3.7×	43	419
Elham Keshavarz Iran	9	374 2.6×	7 0.1×	122 2.8×	27 0.6×	85 2.2×	24	475
Pedro Garrancho Spain	10	28 0.2×	8 0.1×	166 3.9×	27 0.6×	27 0.7×	19	528
Daniel Cárdenas-Morales Spain	9	26 0.2×	8 0.1×	162 3.8×	28 0.7×	27 0.7×	29	533
Maulana Malik Indonesia	12	34 0.2×	23 0.4×	5 0.1×	16 0.4×	36 0.9×	40	407

Countries citing papers authored by Trilok Mathur

Since Specialization

Citations

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

Fields of papers citing papers by Trilok Mathur

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Trilok Mathur

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Mathur, Trilok, et al.. (2025). Analysis of the drug resistance level of malaria disease: a fractional-order model. 14(1).

Agarwal, Shivi, et al.. (2025). An integrated DEA-fuzzy AHP method for prioritization of renewable energy sources in India. Scientific Reports. 15(1). 838–838. 10 indexed citations

Agarwal, Shivi, et al.. (2025). Assessment of offshore wind farm site suitability in India using GIS and MCDM methods. Operational Research. 25(2). 4 indexed citations

Mathur, Trilok, et al.. (2025). Analyzing Unemployment Dynamics: A Fractional‐Order Mathematical Model. Mathematical Methods in the Applied Sciences. 48(10). 10571–10585. 3 indexed citations

Mathur, Trilok, et al.. (2024). Complex order fractional differential equation in complex domain with mixed boundary condition. Chaos Solitons & Fractals. 185. 115090–115090. 2 indexed citations

Chamola, Vinay, et al.. (2024). FoodBlock: A secure and cost‐optimal framework for online food ordering using blockchain. Expert Systems. 42(1). 4 indexed citations

Mathur, Trilok, et al.. (2024). Deformable derivative in complex domain. The Journal of Analysis. 32(3). 1895–1908. 1 indexed citations

Mathur, Trilok, et al.. (2024). Existence and stability results for fractional Langevin equation in complex domain. Filomat. 38(25). 8805–8812.

Mathur, Trilok, et al.. (2024). Modeling Crime Transmission with Fear Effect: A Fractional-Order Approach for Effective Crime Control Strategies. The Journal of Analysis. 33(3). 1229–1249. 4 indexed citations

10.

Nieto, Juan J., et al.. (2024). Fixed Point Method for Nonlinear Fractional Differential Equations with Integral Boundary Conditions on Tetramethyl-Butane Graph. Symmetry. 16(6). 756–756. 1 indexed citations

11.

Mathur, Trilok, et al.. (2024). Fractional-order crime propagation model: a comparison between logistic and exponential growth. Ricerche di Matematica. 74(3). 1563–1581. 1 indexed citations

12.

Mathur, Trilok, et al.. (2023). Fractional boundary value problem in complex domain. Journal of Mathematical Analysis and Applications. 526(1). 127178–127178. 5 indexed citations

13.

Mathur, Trilok, et al.. (2023). Fractional derivative based weighted skip connections for satellite image road segmentation. Neural Networks. 161. 142–153. 10 indexed citations

14.

Mathur, Trilok, et al.. (2023). The LADM approach to analyze the fractional order model for smoking habits including memory. AIP conference proceedings. 2819. 40007–40007. 6 indexed citations

15.

Mathur, Trilok, et al.. (2023). Fractional-order crime propagation model with non-linear transmission rate. Chaos Solitons & Fractals. 169. 113321–113321. 11 indexed citations

16.

Mathur, Trilok, et al.. (2023). Impact of social media on academics: a fractional order mathematical model. International Journal of Modelling and Simulation. 45(4). 1410–1424. 5 indexed citations

17.

Mathur, Trilok, et al.. (2022). A novel methodology for perception-based portfolio management. Annals of Operations Research. 315(2). 1107–1133. 4 indexed citations

18.

Agarwal, Shivi, et al.. (2022). An inverse data envelopment analysis model to consider ratio data and preferences of decision-makers. IMA Journal of Management Mathematics. 34(3). 441–464. 11 indexed citations

19.

Mathur, Trilok, et al.. (2021). Underlying dynamics of crime transmission with memory. Chaos Solitons & Fractals. 146. 110838–110838. 19 indexed citations

20.

Singh, Narinderjit Singh Sawaran, et al.. (2021). Stock Price Prediction using Fractional Gradient-Based Long Short Term Memory. Journal of Physics Conference Series. 1969(1). 12038–12038. 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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