Thomas Ptak

2.4k total citations
70 papers, 1.7k citations indexed

About

Thomas Ptak is a scholar working on Environmental Engineering, Geochemistry and Petrology and Geophysics. According to data from OpenAlex, Thomas Ptak has authored 70 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Environmental Engineering, 22 papers in Geochemistry and Petrology and 19 papers in Geophysics. Recurrent topics in Thomas Ptak's work include Groundwater flow and contamination studies (47 papers), Groundwater and Isotope Geochemistry (22 papers) and Hydraulic Fracturing and Reservoir Analysis (14 papers). Thomas Ptak is often cited by papers focused on Groundwater flow and contamination studies (47 papers), Groundwater and Isotope Geochemistry (22 papers) and Hydraulic Fracturing and Reservoir Analysis (14 papers). Thomas Ptak collaborates with scholars based in Germany, United States and China. Thomas Ptak's co-authors include Georg Teutsch, Thomas Graf, M. Bayer-Raich, Jie Yang, Alberto Guadagnini, Mònica Riva, Rudolf Liedl, Jerker Jarsjö, Rui Hu and Thomas M. Holder and has published in prestigious journals such as Water Resources Research, Environmental Health Perspectives and Journal of Hydrology.

In The Last Decade

Thomas Ptak

66 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Ptak Germany 24 1.3k 499 442 353 331 70 1.7k
Georg Teutsch Germany 26 1.4k 1.1× 554 1.1× 405 0.9× 279 0.8× 367 1.1× 68 1.9k
Kent Novakowski Canada 24 1.2k 1.0× 488 1.0× 219 0.5× 587 1.7× 449 1.4× 70 1.6k
Liangping Li United States 23 1.1k 0.8× 375 0.8× 359 0.8× 261 0.7× 196 0.6× 48 1.7k
Allen M. Shapiro United States 26 1.9k 1.5× 607 1.2× 475 1.1× 688 1.9× 840 2.5× 77 2.4k
Li Wan China 25 931 0.7× 471 0.9× 376 0.9× 282 0.8× 329 1.0× 92 1.7k
Javier Samper Spain 32 1.7k 1.4× 479 1.0× 222 0.5× 299 0.8× 957 2.9× 121 2.4k
Romain Chesnaux Canada 21 832 0.7× 598 1.2× 248 0.6× 256 0.7× 206 0.6× 89 1.4k
Georg J. Houben Germany 23 706 0.6× 542 1.1× 229 0.5× 223 0.6× 199 0.6× 74 1.3k
Kathryn M. Hess United States 9 907 0.7× 316 0.6× 244 0.6× 217 0.6× 287 0.9× 12 1.1k
Kenneth R. Rehfeldt United States 8 2.0k 1.6× 729 1.5× 516 1.2× 529 1.5× 778 2.4× 16 2.4k

Countries citing papers authored by Thomas Ptak

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Ptak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Ptak

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Ptak. A scholar is included among the top collaborators of Thomas Ptak 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 Thomas Ptak. Thomas Ptak 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.
2.
Liu, Quan, et al.. (2024). Hybrid Discrete Fracture Network Inversion of Hydraulic Tomography Data From a Fractured‐Porous Field Site. Water Resources Research. 60(1). 4 indexed citations
3.
Lee, James T., Stephanie Bonne, Marc A. Camacho, et al.. (2024). ACR Appropriateness Criteria® Penetrating Torso Trauma. Journal of the American College of Radiology. 21(11). S448–S463.
4.
Liu, Quan, et al.. (2023). Characterization of aquifer heterogeneity by tomographic slug test responses considering wellbore effects. Journal of Hydrology. 627. 130472–130472. 4 indexed citations
5.
Yang, Huichen, Quan Liu, Rui Hu, et al.. (2022). Numerical case studies on long-term effectiveness of metallic iron based permeable reactive barriers: Importance of porosity heterogeneity of the barrier. Journal of Hydrology. 612. 128148–128148. 12 indexed citations
6.
Brauchler, R., et al.. (2015). Prediction of solute transport in a heterogeneous aquifer utilizing hydraulic conductivity and specific storage tomograms. Water Resources Research. 51(7). 5504–5520. 17 indexed citations
7.
Brauchler, R., et al.. (2013). Rapid field application of hydraulic tomography for resolving aquifer heterogeneity in unconsolidated sediments. Water Resources Research. 49(4). 2013–2024. 70 indexed citations
8.
Greskowiak, Janek, et al.. (2010). Modelling of an enhanced PAH attenuation experiment and associated biogeochemical changes at a former gasworks site in southern Germany. Journal of Contaminant Hydrology. 119(1-4). 99–112. 11 indexed citations
9.
Ptak, Thomas, et al.. (2008). Integral quantification of contaminant mass flow rates in a contaminated aquifer: Conditioning of the numerical inversion of concentration-time series. Journal of Contaminant Hydrology. 106(1-2). 29–38. 12 indexed citations
10.
Riva, Mònica, et al.. (2006). A composite medium approach for probabilistic modelling of contaminant travel time distribution to a pumping well in a heterogeneous aquifer. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 227–233. 1 indexed citations
11.
Riva, Mònica, et al.. (2006). Probabilistic study of well capture zones distribution at the Lauswiesen field site. Journal of Contaminant Hydrology. 88(1-2). 92–118. 65 indexed citations
12.
Jarsjö, Jerker, M. Bayer-Raich, & Thomas Ptak. (2005). Monitoring groundwater contamination and delineating source zones at industrial sites: Uncertainty analyses using integral pumping tests. Journal of Contaminant Hydrology. 79(3-4). 107–134. 46 indexed citations
13.
Ptak, Thomas, M. Bayer-Raich, & Sebastian Bauer. (2004). Multilevel integral investigation of contamination in large polluted aquifers. Grundwasser. 9(4). 235–247. 10 indexed citations
14.
Ptak, Thomas, et al.. (2002). Quantification of mass fluxes and natural attenuation rates at an industrial site with a limited monitoring network: a case study. Journal of Contaminant Hydrology. 60(1-2). 97–121. 97 indexed citations
15.
Bayer-Raich, M., Robert Baumann, & Thomas Ptak. (2002). Estimation of contaminant mass flows in a multi-layered aquifer using pumping tests: numerical experiments at field-scale.. IAHS-AISH publication. 257–263. 1 indexed citations
16.
17.
Ptak, Thomas, et al.. (2000). A new approach for the investigation of natural attenuation at field-scale.. Land Contamination & Reclamation. 8(3). 209–215. 4 indexed citations
18.
Ptak, Thomas, et al.. (2000). Design, performance, evaluation and modelling of a natural gradient multitracer transport experiment in a contaminated heterogeneous porous aquifer.. IAHS-AISH publication. 262. 45–51. 16 indexed citations
19.
20.
Teutsch, Georg, et al.. (1990). Comparison and Evaluation of Direct and Indirect Investigation Methods for die Detection of Small-Scale Heterogeneous Structures. Zeitschrift der Deutschen Geologischen Gesellschaft. 141(2). 376–384. 1 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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