Martin Kuba

90 total papers · 798 total citations
21 papers, 293 citations indexed

About

Martin Kuba is a scholar working on Atmospheric Science, Ecology and Computer Networks and Communications. According to data from OpenAlex, Martin Kuba has authored 21 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Atmospheric Science, 5 papers in Ecology and 4 papers in Computer Networks and Communications. Recurrent topics in Martin Kuba's work include Tree-ring climate responses (4 papers), Distributed and Parallel Computing Systems (4 papers) and Soil erosion and sediment transport (3 papers). Martin Kuba is often cited by papers focused on Tree-ring climate responses (4 papers), Distributed and Parallel Computing Systems (4 papers) and Soil erosion and sediment transport (3 papers). Martin Kuba collaborates with scholars based in Czechia, Germany and China. Martin Kuba's co-authors include Bernd Cyffka, Ümüt Halik, Tayierjiang Aishan, R. Prins, Gerhard D. Pirngruber, Florian Betz, David Milde, Abdulla Abliz, Alishir Kurban and Maierdang Keyimu and has published in prestigious journals such as Food Chemistry, Applied Catalysis A General and Talanta.

In The Last Decade

Martin Kuba

19 papers receiving 290 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Martin Kuba	73	53	51	50	47	21	293
Paul P.J. Gaffney	42 0.6×	16 0.3×	40 0.8×	17 0.3×	129 2.7×	31	339
Zhiyuan Zhang	152 2.1×	13 0.2×	128 2.5×	58 1.2×	37 0.8×	28	352
Ondřej Holubík	18 0.2×	30 0.6×	13 0.3×	66 1.3×	34 0.7×	17	355
Chao‐Chen Hu	67 0.9×	26 0.5×	98 1.9×	80 1.6×	94 2.0×	19	319
Senthil Kumar Muniasamy	45 0.6×	12 0.2×	16 0.3×	9 0.2×	44 0.9×	12	299
K. T. Prasanna	158 2.2×	49 0.9×	48 0.9×	85 1.7×	61 1.3×	20	337
Joon Kim	123 1.7×	13 0.2×	66 1.3×	73 1.5×	101 2.1×	22	334
Shicheng Jiang	141 1.9×	39 0.7×	52 1.0×	43 0.9×	61 1.3×	16	353
Dengming Yan	101 1.4×	9 0.2×	37 0.7×	10 0.2×	32 0.7×	20	316
Jiamin Pan	72 1.0×	51 1.0×	6 0.1×	33 0.7×	43 0.9×	25	341

Countries citing papers authored by Martin Kuba

Since Specialization

Citations

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

Fields of papers citing papers by Martin Kuba

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Kuba

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

All Works

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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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