Tomasz Górecki

2.0k total citations
88 papers, 1.3k citations indexed

About

Tomasz Górecki is a scholar working on Artificial Intelligence, Statistics and Probability and Analytical Chemistry. According to data from OpenAlex, Tomasz Górecki has authored 88 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 18 papers in Statistics and Probability and 16 papers in Analytical Chemistry. Recurrent topics in Tomasz Górecki's work include Spectroscopy and Chemometric Analyses (16 papers), Advanced Statistical Methods and Models (15 papers) and Neural Networks and Applications (10 papers). Tomasz Górecki is often cited by papers focused on Spectroscopy and Chemometric Analyses (16 papers), Advanced Statistical Methods and Models (15 papers) and Neural Networks and Applications (10 papers). Tomasz Górecki collaborates with scholars based in Poland, United States and Portugal. Tomasz Górecki's co-authors include Maciej Łuczak, Łukasz Smaga, Ewa Sikorska, Igor Khmelinskii, Marek Sikorski, Jacek Kozioł, Katarzyna Włodarska, Katarzyna Pawlak‐Lemańska, Denis De Keukeleire and Piotr Kokoszka and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Food Chemistry.

In The Last Decade

Tomasz Górecki

81 papers receiving 1.3k citations

Peers

Tomasz Górecki
Comparison fields: 5 of 161
  • Artificial Intelligence 343
  • Signal Processing 300
  • Analytical Chemistry 275
  • Food Science 194
  • Statistics and Probability 179
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Ana M. Aguilera Spain
Nouna Kettaneh Sweden
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Uwe Thissen Netherlands
Clifford H. Spiegelman United States
Lorentz Jäntschi Romania
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Citations per field, relative to Tomasz Górecki
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Citations per year, relative to Tomasz Górecki
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Countries citing papers authored by Tomasz Górecki

Since Specialization
Citations

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

Fields of papers citing papers by Tomasz Górecki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomasz Górecki

This figure shows the co-authorship network connecting the top 25 collaborators of Tomasz Górecki. A scholar is included among the top collaborators of Tomasz Górecki 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 Tomasz Górecki. Tomasz Górecki 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
# Work Indexed citations
1 0
2 1
3 21
4 1
5 1
6 2
7 7
8 28
9 22
10 7
11
Evolutionarily Tuned Generalized Pseudo-Inverse in Linear Discriminant Analysis
1
12 4
13 7
14 37
15 1
16 10
17 6
18
Rozwój gospodarczy polskich regionów na podstawie analizy shift-share w latach 1999-2004
0
19
Metody badań przestrzenno-ekonomicznych w ujęciu dynamicznym i ich zastosowanie w regionalistyce. Wizualizacja zjawisk
2
20
Metody wizualizacji danych w badaniach regionalnych
1

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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