Jan Melechovský

463 total citations
9 papers, 280 citations indexed

About

Jan Melechovský is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering and Signal Processing. According to data from OpenAlex, Jan Melechovský has authored 9 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Industrial and Manufacturing Engineering and 3 papers in Signal Processing. Recurrent topics in Jan Melechovský's work include Vehicle Routing Optimization Methods (4 papers), Music and Audio Processing (2 papers) and Metaheuristic Optimization Algorithms Research (2 papers). Jan Melechovský is often cited by papers focused on Vehicle Routing Optimization Methods (4 papers), Music and Audio Processing (2 papers) and Metaheuristic Optimization Algorithms Research (2 papers). Jan Melechovský collaborates with scholars based in Czechia, Singapore and France. Jan Melechovský's co-authors include Roberto Wolfler Calvo, Nacima Labadie, Renata Mansini, Christian Prins, Dorien Herremans, Jiří Klempíř, Michal Novotný, Soujanya Poria, Deepanway Ghosal and Jan Rusz and has published in prestigious journals such as European Journal of Operational Research, Journal of Speech Language and Hearing Research and Applied Sciences.

In The Last Decade

Jan Melechovský

9 papers receiving 267 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jan Melechovský Czechia	7	209	96	68	55	38	9	280
Tore Grünert Germany	7	241 1.2×	107 1.1×	75 1.1×	34 0.6×	51 1.3×	10	283
Mikio Kubo Japan	8	235 1.1×	96 1.0×	63 0.9×	36 0.7×	29 0.8×	26	292
Sylvain Boussier France	4	287 1.4×	66 0.7×	38 0.6×	75 1.4×	22 0.6×	5	307
Michel Mittaz Switzerland	4	311 1.5×	67 0.7×	58 0.9×	64 1.2×	26 0.7×	6	347
Ana Paias Portugal	12	280 1.3×	120 1.3×	37 0.5×	58 1.1×	79 2.1×	22	342
José Cáceres-Cruz Spain	6	237 1.1×	82 0.9×	93 1.4×	37 0.7×	32 0.8×	8	282
James DeArmon United States	6	192 0.9×	53 0.6×	59 0.9×	28 0.5×	34 0.9×	46	329
G.B. Alvarenga Brazil	8	245 1.2×	121 1.3×	54 0.8×	85 1.5×	25 0.7×	15	311
Haotian Wang China	7	118 0.6×	75 0.8×	83 1.2×	31 0.6×	23 0.6×	37	222
Ahmed Hadjar Canada	6	315 1.5×	190 2.0×	81 1.2×	15 0.3×	67 1.8×	11	352

Countries citing papers authored by Jan Melechovský

Since Specialization

Citations

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

Fields of papers citing papers by Jan Melechovský

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Melechovský

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

All Works

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9 of 9 papers shown

Melechovský, Jan, Zixun Guo, Deepanway Ghosal, et al.. (2024). Mustango: Toward Controllable Text-to-Music Generation. 8293–8316. 11 indexed citations

Melechovský, Jan, Ambuj Mehrish, Berrak Şişman, & Dorien Herremans. (2024). Accent Conversion in Text-to-Speech Using Multi-Level VAE and Adversarial Training. ARCA (Università Ca' Foscari Venezia). 473–476. 1 indexed citations

Melechovský, Jan, et al.. (2023). Alzheimer’s Dementia Speech (Audio vs. Text): Multi-Modal Machine Learning at High vs. Low Resolution. Applied Sciences. 13(7). 4244–4244. 11 indexed citations

Melechovský, Jan, Ambuj Mehrish, Dorien Herremans, & Berrak Şişman. (2023). Learning Accent Representation with Multi-Level VAE Towards Controllable Speech Synthesis. ARCA (Università Ca' Foscari Venezia). 928–935. 3 indexed citations

Novotný, Michal, et al.. (2020). Comparison of Automated Acoustic Methods for Oral Diadochokinesis Assessment in Amyotrophic Lateral Sclerosis. Journal of Speech Language and Hearing Research. 63(10). 3453–3460. 13 indexed citations

Melechovský, Jan. (2013). A variable neighborhood search for the selective multi-compartment vehicle routing problem with time windows. 10 indexed citations

Labadie, Nacima, Renata Mansini, Jan Melechovský, & Roberto Wolfler Calvo. (2012). The Team Orienteering Problem with Time Windows: An LP-based Granular Variable Neighborhood Search. European Journal of Operational Research. 220(1). 15–27. 109 indexed citations

Labadie, Nacima, Jan Melechovský, & Roberto Wolfler Calvo. (2010). Hybridized evolutionary local search algorithm for the team orienteering problem with time windows. Journal of Heuristics. 17(6). 729–753. 56 indexed citations

Melechovský, Jan, Christian Prins, & Roberto Wolfler Calvo. (2005). A Metaheuristic to Solve a Location-Routing Problem with Non-Linear Costs. Journal of Heuristics. 11(5-6). 375–391. 66 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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