Maciej Thomas

928 total citations
52 papers, 602 citations indexed

About

Maciej Thomas is a scholar working on Water Science and Technology, Industrial and Manufacturing Engineering and Pollution. According to data from OpenAlex, Maciej Thomas has authored 52 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Water Science and Technology, 17 papers in Industrial and Manufacturing Engineering and 12 papers in Pollution. Recurrent topics in Maciej Thomas's work include Adsorption and biosorption for pollutant removal (12 papers), Advanced oxidation water treatment (10 papers) and Water Quality and Pollution Assessment (7 papers). Maciej Thomas is often cited by papers focused on Adsorption and biosorption for pollutant removal (12 papers), Advanced oxidation water treatment (10 papers) and Water Quality and Pollution Assessment (7 papers). Maciej Thomas collaborates with scholars based in Poland, Slovakia and India. Maciej Thomas's co-authors include Balamurugan Panneerselvam, Kirubakaran Muniraj, Nagavinothini Ravichandran, Barbara Białecka, Shankar Karuppannan, Chaitanya B. Pande, Krzysztof Barbusiński, Butsawan Bidorn, D. Karunanidhi and Przemysław Drzewicz and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Chemical Engineering Journal.

In The Last Decade

Maciej Thomas

49 papers receiving 578 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maciej Thomas Poland 14 333 175 167 115 103 52 602
Kenneth Bayetimani Pelig-Ba Ghana 14 462 1.4× 172 1.0× 105 0.6× 87 0.8× 147 1.4× 22 816
Palas Roy India 14 645 1.9× 201 1.1× 88 0.5× 159 1.4× 152 1.5× 25 961
Hossam S. Jahin Egypt 14 309 0.9× 61 0.3× 99 0.6× 85 0.7× 99 1.0× 35 574
Rakesh Singh India 11 211 0.6× 129 0.7× 124 0.7× 31 0.3× 90 0.9× 35 472
Bably Prasad India 13 337 1.0× 244 1.4× 97 0.6× 80 0.7× 260 2.5× 27 711
Urmila Brighu India 17 286 0.9× 64 0.4× 112 0.7× 300 2.6× 144 1.4× 47 761
Abu Shamim Khan Bangladesh 14 228 0.7× 100 0.6× 110 0.7× 75 0.7× 216 2.1× 31 525
Hajar Merrikhpour Iran 15 312 0.9× 75 0.4× 59 0.4× 123 1.1× 349 3.4× 35 816
Imen Khounı Tunisia 11 363 1.1× 57 0.3× 70 0.4× 117 1.0× 78 0.8× 15 619
Vijay A. Loganathan India 8 192 0.6× 58 0.3× 47 0.3× 85 0.7× 114 1.1× 20 503

Countries citing papers authored by Maciej Thomas

Since Specialization
Citations

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

Fields of papers citing papers by Maciej Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maciej Thomas

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

All Works

20 of 20 papers shown
1.
Thomas, Maciej, et al.. (2024). Assessment of the Variability in the Occurrence of PFAS in Fish Tissues from Selected Fisheries in the Baltic Sea. Molecules. 29(24). 6029–6029. 1 indexed citations
2.
Thomas, Maciej, Grzegorz Nałęcz‐Jawecki, Joanna Giebułtowicz, & Przemysław Drzewicz. (2024). Degradation of oxytetracycline by ferrate(VI): Treatment optimization, UHPLC-MS/MS and toxicological studies of the degradation products, and impact of urea and creatinine on the removal. Chemical Engineering Journal. 485. 149802–149802. 18 indexed citations
3.
Thomas, Maciej, et al.. (2024). Removal of cadmium and cobalt from water by Slovak bentonites: efficiency, isotherms, and kinetic study. Environmental Science and Pollution Research. 31(20). 29199–29217. 4 indexed citations
5.
Białecka, Barbara, et al.. (2023). Removal of phosphate from brewery wastewater by cerium(III) chloride originating from spent polishing agent: Recovery and optimization studies. The Science of The Total Environment. 875. 162643–162643. 8 indexed citations
7.
Ravichandran, Nagavinothini, et al.. (2023). Machine learning approach to evaluate the groundwater quality and human health risk for sustainable drinking and irrigation purposes in South India. Chemosphere. 336. 139228–139228. 23 indexed citations
8.
Panneerselvam, Balamurugan, et al.. (2023). A novel approach for the prediction and analysis of daily concentrations of particulate matter using machine learning. The Science of The Total Environment. 897. 166178–166178. 8 indexed citations
9.
Thomas, Maciej, et al.. (2023). Evaluation of the stability of heavy metal-containing sediments obtained in the wastewater treatment processes with the use of various precipitating agents. Environmental Monitoring and Assessment. 195(4). 442–442. 8 indexed citations
11.
12.
Thomas, Maciej, et al.. (2023). Evaluation of the mobility of heavy metals in the sediments originating from the post-galvanic wastewater treatment processes. Environmental Geochemistry and Health. 45(11). 7877–7888. 2 indexed citations
13.
14.
Thomas, Maciej, et al.. (2021). Effectiveness of potassium ferrate (VI) as a green agent in the treatment and disinfection of carwash wastewater. Environmental Science and Pollution Research. 29(6). 8514–8524. 18 indexed citations
15.
Panneerselvam, Balamurugan, Kirubakaran Muniraj, Maciej Thomas, Nagavinothini Ravichandran, & Butsawan Bidorn. (2021). Identifying influencing groundwater parameter on human health associate with irrigation indices using the Automatic Linear Model (ALM) in a semi-arid region in India. Environmental Research. 202. 111778–111778. 57 indexed citations
16.
Panneerselvam, Balamurugan, et al.. (2021). Integration of multi criteria decision analysis and GIS for evaluating the site suitability for aquaculture in southern coastal region, India. Marine Pollution Bulletin. 172. 112907–112907. 18 indexed citations
17.
Szpyrka, Ewa, Maciej Thomas, & Magdalena Podbielska. (2019). Physicochemical Parameters of Real Wastewater Originating from a Plant Protection Products Factory and Modification of the QuEChERS Method for Determination of Captan. Molecules. 24(12). 2203–2203. 5 indexed citations
18.
Thomas, Maciej, et al.. (2017). Recovery of tin from electroplating sludges generated in the treatment of the concentrated wastewater from electrochemical tin plating. PRZEMYSŁ CHEMICZNY. 96(6). 1296–1302. 1 indexed citations
19.
Thomas, Maciej, et al.. (2015). Treatment of wastewater from the photochemical production of printed circuit boards by using Fenton reagent after addition of disodium percarbonate. PRZEMYSŁ CHEMICZNY. 94(6). 924–929. 3 indexed citations
20.
Thomas, Maciej, et al.. (2014). SOURCES OF COPPER IONS AND SELECTED METHODS OF THEIR REMOVAL FROM WASTEWATER FROM THE PRINTED CIRCUITS BOARD PRODUCTION. SHILAP Revista de lepidopterología. 9 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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