Tomasz Badowski

759 total citations
10 papers, 523 citations indexed

About

Tomasz Badowski is a scholar working on Materials Chemistry, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Tomasz Badowski has authored 10 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Materials Chemistry, 6 papers in Computational Theory and Mathematics and 5 papers in Molecular Biology. Recurrent topics in Tomasz Badowski's work include Machine Learning in Materials Science (7 papers), Computational Drug Discovery Methods (6 papers) and Chemical Synthesis and Analysis (3 papers). Tomasz Badowski is often cited by papers focused on Machine Learning in Materials Science (7 papers), Computational Drug Discovery Methods (6 papers) and Chemical Synthesis and Analysis (3 papers). Tomasz Badowski collaborates with scholars based in Poland, South Korea and United States. Tomasz Badowski's co-authors include Bartosz A. Grzybowski, Ewa Gajewska, Karol Molga, Wiktor Beker, Sara Szymkuć, Milan Mrksich, Barbara Mikulak-Klucznik, Tomasz Klucznik, Karl A. Scheidt and Olga Staszewska‐Krajewska and has published in prestigious journals such as Nature, Angewandte Chemie International Edition and Chemical Science.

In The Last Decade

Tomasz Badowski

10 papers receiving 509 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tomasz Badowski Poland	9	318	261	208	89	72	10	523
Barbara Mikulak-Klucznik South Korea	8	325 1.0×	286 1.1×	275 1.3×	140 1.6×	78 1.1×	9	676
Michał D. Bajczyk Poland	7	293 0.9×	283 1.1×	224 1.1×	113 1.3×	49 0.7×	9	520
Agnieszka Wołos Poland	9	259 0.8×	208 0.8×	224 1.1×	116 1.3×	91 1.3×	16	601
Nosheen A. Gothard United States	9	232 0.7×	182 0.7×	148 0.7×	77 0.9×	86 1.2×	10	471
Timur Gimadiev Russia	15	318 1.0×	319 1.2×	163 0.8×	63 0.7×	145 2.0×	31	561
Ramil Nugmanov Russia	16	433 1.4×	416 1.6×	247 1.2×	100 1.1×	133 1.8×	45	663
Rafał Roszak Poland	12	439 1.4×	291 1.1×	281 1.4×	189 2.1×	173 2.4×	27	928
Lagnajit Pattanaik United States	10	496 1.6×	357 1.4×	139 0.7×	104 1.2×	55 0.8×	12	640
Ariel Adamski Poland	7	160 0.5×	141 0.5×	111 0.5×	66 0.7×	82 1.1×	9	348
Yunsie Chung United States	8	331 1.0×	311 1.2×	137 0.7×	111 1.2×	61 0.8×	12	613

Countries citing papers authored by Tomasz Badowski

Since Specialization

Citations

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

Fields of papers citing papers by Tomasz Badowski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomasz Badowski

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

All Works

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10 of 10 papers shown

1.

Grzybowski, Bartosz A., Tomasz Badowski, Karol Molga, & Sara Szymkuć. (2022). Network search algorithms and scoring functions for advanced‐level computerized synthesis planning. Wiley Interdisciplinary Reviews Computational Molecular Science. 13(1). 14 indexed citations

2.

Szymkuć, Sara, Tomasz Badowski, & Bartosz A. Grzybowski. (2021). Is Organic Chemistry Really Growing Exponentially?. Angewandte Chemie. 133(50). 26430–26436. 4 indexed citations

3.

Szymkuć, Sara, Tomasz Badowski, & Bartosz A. Grzybowski. (2021). Is Organic Chemistry Really Growing Exponentially?. Angewandte Chemie International Edition. 60(50). 26226–26232. 16 indexed citations

4.

Mikulak-Klucznik, Barbara, Oskar Popik, Tomasz Klucznik, et al.. (2020). Computational planning of the synthesis of complex natural products. Nature. 588(7836). 83–88. 187 indexed citations

5.

Badowski, Tomasz, Karol Molga, & Bartosz A. Grzybowski. (2019). Selection of cost-effective yet chemically diverse pathways from the networks of computer-generated retrosynthetic plans. Chemical Science. 10(17). 4640–4651. 53 indexed citations

6.

Badowski, Tomasz, Ewa Gajewska, Karol Molga, & Bartosz A. Grzybowski. (2019). Synergy Between Expert and Machine‐Learning Approaches Allows for Improved Retrosynthetic Planning. Angewandte Chemie International Edition. 59(2). 725–730. 62 indexed citations

7.

Badowski, Tomasz, Ewa Gajewska, Karol Molga, & Bartosz A. Grzybowski. (2019). Synergy Between Expert and Machine‐Learning Approaches Allows for Improved Retrosynthetic Planning. Angewandte Chemie. 132(2). 735–740. 9 indexed citations

8.

Beker, Wiktor, Ewa Gajewska, Tomasz Badowski, & Bartosz A. Grzybowski. (2018). Prediction of Major Regio‐, Site‐, and Diastereoisomers in Diels–Alder Reactions by Using Machine‐Learning: The Importance of Physically Meaningful Descriptors. Angewandte Chemie. 131(14). 4563–4567. 14 indexed citations

9.

Beker, Wiktor, Ewa Gajewska, Tomasz Badowski, & Bartosz A. Grzybowski. (2018). Prediction of Major Regio‐, Site‐, and Diastereoisomers in Diels–Alder Reactions by Using Machine‐Learning: The Importance of Physically Meaningful Descriptors. Angewandte Chemie International Edition. 58(14). 4515–4519. 119 indexed citations

10.

Hartmann, Carsten, Ralf Banisch, Marco Sarich, Tomasz Badowski, & Christof Schütte. (2013). Characterization of Rare Events in Molecular Dynamics. Entropy. 16(1). 350–376. 45 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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