J. Ciba

67 total papers · 706 total citations
43 papers, 608 citations indexed

About

J. Ciba is a scholar working on Water Science and Technology, Pollution and Mechanical Engineering. According to data from OpenAlex, J. Ciba has authored 43 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Water Science and Technology, 10 papers in Pollution and 10 papers in Mechanical Engineering. Recurrent topics in J. Ciba's work include Heavy metals in environment (9 papers), Integrated Water Resources Management (5 papers) and Analytical chemistry methods development (5 papers). J. Ciba is often cited by papers focused on Heavy metals in environment (9 papers), Integrated Water Resources Management (5 papers) and Analytical chemistry methods development (5 papers). J. Ciba collaborates with scholars based in Poland, Germany and Mozambique. J. Ciba's co-authors include Marian Turek, Joanna Kluczka, Piotr Dydo, J. Trojanowska, Jan Cebula, Krzysztof Loska, Adam Smoliński, Bartłomiej Kowalczyk, Jerzy Kwapuliński and Danuta Wiechuła and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Chemosphere.

In The Last Decade

J. Ciba

42 papers receiving 566 citations

Author Peers

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

Author						Papers	Cites
J. Ciba	240	151	145	135	119	43	608
Ezerie Henry Ezechi	368 1.5×	191 1.3×	144 1.0×	56 0.4×	102 0.9×	34	680
Daniel Bucur	279 1.2×	93 0.6×	77 0.5×	101 0.7×	54 0.5×	46	680
Zhengmiao Xie	187 0.8×	68 0.5×	82 0.6×	75 0.6×	188 1.6×	36	586
Maria Roulia	172 0.7×	104 0.7×	55 0.4×	86 0.6×	94 0.8×	42	654
Fazila Younas	280 1.2×	124 0.8×	102 0.7×	42 0.3×	142 1.2×	33	693
Tianguo Li	128 0.5×	65 0.4×	66 0.5×	76 0.6×	142 1.2×	36	610
Baobin Mi	245 1.0×	98 0.6×	141 1.0×	52 0.4×	152 1.3×	23	548
Zhongchuang Liu	153 0.6×	89 0.6×	109 0.8×	109 0.8×	247 2.1×	23	660
J. Hoffmann	110 0.5×	137 0.9×	89 0.6×	112 0.8×	63 0.5×	99	663
Shengnan Yuan	278 1.2×	147 1.0×	178 1.2×	43 0.3×	203 1.7×	19	620

Countries citing papers authored by J. Ciba

Since Specialization

Citations

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

Fields of papers citing papers by J. Ciba

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Ciba

This figure shows the co-authorship network connecting the top 25 collaborators of J. Ciba. A scholar is included among the top collaborators of J. Ciba 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 J. Ciba. J. Ciba 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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