Philipp Weller

2.0k total citations
56 papers, 1.5k citations indexed

About

Philipp Weller is a scholar working on Biomedical Engineering, Spectroscopy and Molecular Biology. According to data from OpenAlex, Philipp Weller has authored 56 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Biomedical Engineering, 20 papers in Spectroscopy and 19 papers in Molecular Biology. Recurrent topics in Philipp Weller's work include Advanced Chemical Sensor Technologies (25 papers), Analytical Chemistry and Chromatography (18 papers) and Spectroscopy and Chemometric Analyses (12 papers). Philipp Weller is often cited by papers focused on Advanced Chemical Sensor Technologies (25 papers), Analytical Chemistry and Chromatography (18 papers) and Spectroscopy and Chemometric Analyses (12 papers). Philipp Weller collaborates with scholars based in Germany, Iran and Spain. Philipp Weller's co-authors include Sascha Rohn, Dietmar E. Breithaupt, Natalie Gerhardt, Sebastian Schwolow, Maike Wolters, Andreas Hahn, Hadi Parastar, Christian Hertel, Walter P. Hammes and Daniel P. Sanders and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytical Chemistry and Journal of Agricultural and Food Chemistry.

In The Last Decade

Philipp Weller

52 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philipp Weller Germany 20 506 504 336 302 278 56 1.5k
Magdalena Ligor Poland 23 953 1.9× 396 0.8× 324 1.0× 177 0.6× 229 0.8× 57 2.0k
Christophe Cordella France 19 370 0.7× 248 0.5× 364 1.1× 502 1.7× 94 0.3× 45 1.2k
Marco Beccaria Italy 23 466 0.9× 385 0.8× 228 0.7× 259 0.9× 80 0.3× 49 1.3k
Karl Speer Germany 27 191 0.4× 246 0.5× 846 2.5× 311 1.0× 183 0.7× 79 2.2k
Laura Ruth Cagliani Italy 24 271 0.5× 554 1.1× 435 1.3× 409 1.4× 157 0.6× 36 1.4k
Anastasios Koidis United Kingdom 28 448 0.9× 525 1.0× 730 2.2× 627 2.1× 291 1.0× 87 2.2k
Alba Tres Spain 23 291 0.6× 427 0.8× 307 0.9× 309 1.0× 240 0.9× 93 1.8k
Ivana Bonaccorsi Italy 24 278 0.5× 540 1.1× 780 2.3× 159 0.5× 296 1.1× 66 1.5k
María Gómez‐Romero United Kingdom 19 147 0.3× 443 0.9× 401 1.2× 171 0.6× 369 1.3× 24 1.5k
Ildenize Barbosa da Silva Cunha Brazil 20 254 0.5× 347 0.7× 663 2.0× 319 1.1× 215 0.8× 41 1.8k

Countries citing papers authored by Philipp Weller

Since Specialization
Citations

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

Fields of papers citing papers by Philipp Weller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philipp Weller

This figure shows the co-authorship network connecting the top 25 collaborators of Philipp Weller. A scholar is included among the top collaborators of Philipp Weller 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 Philipp Weller. Philipp Weller 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.
Parastar, Hadi & Philipp Weller. (2025). Feature selection and extraction strategies for non-targeted analysis using GC-MS and GC-IMS: A tutorial. Analytica Chimica Acta. 1343. 343635–343635. 7 indexed citations
2.
Arroyo‐Manzanares, Natalia, et al.. (2025). Fingerprinting of Peach During the Ripening Process Using an Analytical Platform with Spectrometric and Volatilome-Based Chromatographic Techniques. Journal of Agricultural and Food Chemistry. 73(26). 16636–16647.
3.
Weller, Philipp, et al.. (2025). Revolutionizing food integrity: Harnessing the power of ensemble learning algorithms. TrAC Trends in Analytical Chemistry. 193. 118458–118458. 3 indexed citations
4.
Rohn, Sascha, et al.. (2024). Gas chromatography ion mobility spectrometry (GC-IMS) dataset of honey samples with different botanical origins. Data in Brief. 54. 110532–110532. 2 indexed citations
5.
Parastar, Hadi & Philipp Weller. (2024). Benchtop volatilomics supercharged: How machine learning based design of experiment helps optimizing untargeted GC-IMS gas phase metabolomics. Talanta. 272. 125788–125788. 13 indexed citations
6.
Rohn, Sascha, et al.. (2024). Nontargeted Volatile Metabolite Screening and Microbial Contamination Detection in Fermentation Processes by Headspace GC-IMS. Analytical Chemistry. 96(9). 3794–3801. 9 indexed citations
7.
Parastar, Hadi & Philipp Weller. (2024). How Machine Learning and Gas Chromatography-Ion Mobility Spectrometry Form an Optimal Team for Benchtop Volatilomics. Analytical Chemistry. 97(3). 1468–1481. 4 indexed citations
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9.
Khodabakhshian, Rasool, et al.. (2023). A methodological approach to preprocessing FTIR spectra of adulterated sesame oil. Food Chemistry. 419. 136055–136055. 30 indexed citations
10.
Parastar, Hadi & Philipp Weller. (2023). Towards greener volatilomics: Is GC-IMS the new Swiss army knife of gas phase analysis?. TrAC Trends in Analytical Chemistry. 170. 117438–117438. 37 indexed citations
11.
Weller, Philipp, et al.. (2023). Volatilomics, Foodomics and Fermentomics at Trace Levels: Role of Modern Untargeted Benchtop Analytical Strategies in Improving Coffee Research. SHILAP Revista de lepidopterología. 2–2. 2 indexed citations
12.
Nejati, Fatemeh, René Riedel, Hyun‐Dong Chang, et al.. (2022). Traditional Grain-Based vs. Commercial Milk Kefirs, How Different Are They?. Applied Sciences. 12(8). 3838–3838. 14 indexed citations
13.
14.
Rohn, Sascha, et al.. (2021). Nitrogen monoxide as dopant for enhanced selectivity of isomeric monoterpenes in drift tube ion mobility spectrometry with 3H ionization. Analytical and Bioanalytical Chemistry. 413(13). 3551–3560. 7 indexed citations
15.
Weller, Philipp, et al.. (2020). Improving manganese circular economy from cellulose by chelation with siderophores immobilized to magnetic microbeads. Environment Development and Sustainability. 23(6). 8252–8271. 4 indexed citations
16.
Schwolow, Sebastian, et al.. (2020). Gas-phase volatilomic approaches for quality control of brewing hops based on simultaneous GC-MS-IMS and machine learning. Analytical and Bioanalytical Chemistry. 412(26). 7085–7097. 19 indexed citations
17.
Schwolow, Sebastian, Natalie Gerhardt, Sascha Rohn, & Philipp Weller. (2019). Data fusion of GC-IMS data and FT-MIR spectra for the authentication of olive oils and honeys—is it worth to go the extra mile?. Analytical and Bioanalytical Chemistry. 411(23). 6005–6019. 61 indexed citations
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20.
Gerhardt, Natalie, Sebastian Schwolow, Sascha Rohn, et al.. (2018). Quality assessment of olive oils based on temperature-ramped HS-GC-IMS and sensory evaluation: Comparison of different processing approaches by LDA, kNN, and SVM. Food Chemistry. 278. 720–728. 137 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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