Robert Sałat

622 total citations
30 papers, 514 citations indexed

About

Robert Sałat is a scholar working on Control and Systems Engineering, Physiology and Oncology. According to data from OpenAlex, Robert Sałat has authored 30 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Control and Systems Engineering, 9 papers in Physiology and 6 papers in Oncology. Recurrent topics in Robert Sałat's work include Pain Mechanisms and Treatments (9 papers), Fault Detection and Control Systems (7 papers) and Cancer Treatment and Pharmacology (6 papers). Robert Sałat is often cited by papers focused on Pain Mechanisms and Treatments (9 papers), Fault Detection and Control Systems (7 papers) and Cancer Treatment and Pharmacology (6 papers). Robert Sałat collaborates with scholars based in Poland. Robert Sałat's co-authors include S. Osowski, Kinga Sałat, Anna Furgała, Barbara Filipek, Barbara Malawska, Szczepan Mogilski, Krzysztof Więckowski, Elżbieta Wyska, Katarzyna Kulig and Radosław Winiczenko and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Power Systems and Molecules.

In The Last Decade

Robert Sałat

29 papers receiving 491 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert Sałat Poland 13 166 141 126 81 81 30 514
Csaba Szabó Romania 10 57 0.3× 141 1.0× 171 1.4× 101 1.2× 32 0.4× 38 645
A. Bahgat Egypt 12 126 0.8× 155 1.1× 44 0.3× 111 1.4× 35 0.4× 33 515
Zhenhuan Wang China 14 478 2.9× 88 0.6× 41 0.3× 139 1.7× 23 0.3× 67 939
Izumi Ushiyama Japan 11 34 0.2× 58 0.4× 137 1.1× 296 3.7× 12 0.1× 60 682
Sungryul Lee South Korea 14 96 0.6× 20 0.1× 80 0.6× 309 3.8× 34 0.4× 34 716
Sue Wang China 13 36 0.2× 88 0.6× 41 0.3× 98 1.2× 22 0.3× 67 607
Changrui Chen China 13 15 0.1× 43 0.3× 107 0.8× 47 0.6× 69 0.9× 36 754

Countries citing papers authored by Robert Sałat

Since Specialization
Citations

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

Fields of papers citing papers by Robert Sałat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Sałat

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Sałat. A scholar is included among the top collaborators of Robert Sałat 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 Robert Sałat. Robert Sałat 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.
Sałat, Robert, et al.. (2024). Implementation of PID Autotuning Procedure Based on Doublet-Pulse Method in PLC Controller. SHILAP Revista de lepidopterología. 18(1). 89–97. 1 indexed citations
2.
3.
Winiczenko, Radosław, et al.. (2023). Multi-Criteria Optimization of Energy and Water Consumption in Fruit- and Vegetable-Processing Plants in Poland. Energies. 16(24). 8118–8118. 2 indexed citations
4.
Sapiński, Bogdan, et al.. (2022). On the Application of Support Vector Method for Predicting the Current Response of MR Dampers Control Circuit. Energies. 15(24). 9626–9626. 2 indexed citations
5.
6.
Sałat, Kinga, Anna Furgała, & Robert Sałat. (2021). The Microglial Activation Inhibitor Minocycline, Used Alone and in Combination with Duloxetine, Attenuates Pain Caused by Oxaliplatin in Mice. Molecules. 26(12). 3577–3577. 18 indexed citations
7.
Sałat, Kinga, Anna Furgała, & Robert Sałat. (2019). Interventional and preventive effects of aripiprazole and ceftriaxone used alone or in combination on oxaliplatin-induced tactile and cold allodynia in mice. Biomedicine & Pharmacotherapy. 111. 882–890. 20 indexed citations
8.
Furgała, Anna, Łukasz Fijałkowski, Alicja Nowaczyk, Robert Sałat, & Kinga Sałat. (2018). Time-shifted co-administration of sub-analgesic doses of ambroxol and pregabalin attenuates oxaliplatin-induced cold allodynia in mice. Biomedicine & Pharmacotherapy. 106. 930–940. 20 indexed citations
9.
Sałat, Kinga, Anna Furgała, & Robert Sałat. (2017). Evaluation of cebranopadol, a dually acting nociceptin/orphanin FQ and opioid receptor agonist in mouse models of acute, tonic, and chemotherapy-induced neuropathic pain. Inflammopharmacology. 26(2). 361–374. 26 indexed citations
10.
Sałat, Kinga, Adrian Podkowa, Szczepan Mogilski, et al.. (2015). The effect of GABA transporter 1 (GAT1) inhibitor, tiagabine, on scopolamine-induced memory impairments in mice. Pharmacological Reports. 67(6). 1155–1162. 33 indexed citations
11.
Sałat, Kinga, Elżbieta Wyska, Robert Sałat, et al.. (2014). Antiallodynic and antihyperalgesic activity of 3-[4-(3-trifluoromethyl-phenyl)-piperazin-1-yl]-dihydrofuran-2-one compared to pregabalin in chemotherapy-induced neuropathic pain in mice. Pharmacology Biochemistry and Behavior. 122. 173–181. 58 indexed citations
12.
Sałat, Robert & Kinga Sałat. (2014). Modeling analgesic drug interactions using support vector regression: A new approach to isobolographic analysis. Journal of Pharmacological and Toxicological Methods. 71. 95–102. 9 indexed citations
13.
Sałat, Robert, et al.. (2014). Black box modeling of PIDs implemented in PLCs without structural information: a support vector regression approach. Neural Computing and Applications. 26(3). 723–734. 15 indexed citations
14.
Sałat, Robert, et al.. (2013). Black-Box system identification by means of Support Vector Regression and Imperialist Competitive Algorithm. PRZEGLĄD ELEKTROTECHNICZNY. 223–226. 3 indexed citations
15.
Sałat, Robert, et al.. (2012). Odwzorowanie dynamiki pracy regulatora PID zaimplementowanego w sterowniku PLC za pomocą Least Squares- Support Vector Machines. PRZEGLĄD ELEKTROTECHNICZNY. 227–230. 2 indexed citations
16.
Sałat, Robert, et al.. (2012). Dobór nastaw regulatora PID zaimplementowanego w sterowniku PLC przy wykorzystaniu algorytmów genetycznych. Pomiary, Automatyka, Kontrola. 427–430.
17.
Sałat, Kinga, Katarzyna Kulig, Robert Sałat, Barbara Filipek, & Barbara Malawska. (2012). Analgesic and anticonvulsant activity of new derivatives of 2-substituted 4-hydroxybutanamides in mice. Pharmacological Reports. 64(1). 102–112. 15 indexed citations
18.
Sałat, Robert & Kinga Sałat. (2012). New approach to predicting proconvulsant activity with the use of Support Vector Regression. Computers in Biology and Medicine. 42(5). 575–581. 6 indexed citations
19.
Sałat, Kinga, Andrzej Moniczewski, Robert Sałat, et al.. (2011). Analgesic, anticonvulsant and antioxidant activities of 3-[4-(3-trifluoromethyl-phenyl)-piperazin-1-yl]-dihydrofuran-2-one dihydrochloride in mice. Pharmacology Biochemistry and Behavior. 101(1). 138–147. 27 indexed citations
20.
Sałat, Robert, S. Osowski, & Krzysztof Siwek. (2003). Principal component analysis (PCA) for feature selection at the diagnosis of electrical circuits. PRZEGLĄD ELEKTROTECHNICZNY. 79(10). 667–670. 4 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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