T. Head

14.9k total citations
11 papers, 289 citations indexed

About

T. Head is a scholar working on Information Systems, Information Systems and Management and Nuclear and High Energy Physics. According to data from OpenAlex, T. Head has authored 11 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Information Systems, 3 papers in Information Systems and Management and 3 papers in Nuclear and High Energy Physics. Recurrent topics in T. Head's work include Research Data Management Practices (3 papers), Scientific Computing and Data Management (3 papers) and Particle physics theoretical and experimental studies (2 papers). T. Head is often cited by papers focused on Research Data Management Practices (3 papers), Scientific Computing and Data Management (3 papers) and Particle physics theoretical and experimental studies (2 papers). T. Head collaborates with scholars based in United States, Switzerland and Norway. T. Head's co-authors include Chris Holdgraf, Jessica Zosa Forde, Benjamin Ragan-Kelley, Matthias Bussonnier, Manoj Kumar, Brian Granger, Jeremy Freeman, Fernando Pérez, Carol Willing and Kyle P. Kelley and has published in prestigious journals such as Pharmacological Reviews, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment and GigaScience.

In The Last Decade

T. Head

10 papers receiving 274 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
T. Head United States	6	68	61	43	38	31	11	289
Jessica Zosa Forde United States	6	67 1.0×	63 1.0×	40 0.9×	33 0.9×	31 1.0×	14	228
Benjamin Ragan-Kelley United States	6	77 1.1×	46 0.8×	50 1.2×	47 1.2×	37 1.2×	11	271
Carol Willing United States	3	68 1.0×	39 0.6×	46 1.1×	35 0.9×	30 1.0×	3	204
M. Ryleigh Davis United States	4	147 2.2×	72 1.2×	107 2.5×	78 2.1×	63 2.0×	8	431
B. M. Waugh Canada	3	147 2.2×	76 1.2×	107 2.5×	78 2.1×	67 2.2×	4	422
Mike Folk United States	8	60 0.9×	77 1.3×	49 1.1×	38 1.0×	153 4.9×	20	456
Jacob T. VanderPlas United States	8	45 0.7×	33 0.5×	45 1.0×	22 0.6×	45 1.5×	12	243
Fred L. Drake	6	13 0.2×	112 1.8×	53 1.2×	59 1.6×	41 1.3×	10	420
Anna‐Lena Lamprecht Netherlands	9	212 3.1×	80 1.3×	190 4.4×	97 2.6×	48 1.5×	15	456
Werner Benger United States	8	60 0.9×	35 0.6×	24 0.6×	23 0.6×	109 3.5×	41	381

Countries citing papers authored by T. Head

Since Specialization

Citations

This map shows the geographic impact of T. Head'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 T. Head with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Head more than expected).

Fields of papers citing papers by T. Head

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Head

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

All Works

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11 of 11 papers shown

Motulsky, Harvey, T. Head, & Paul B. S. Clarke. (2025). Analyzing lognormal data: A nonmathematical practical guide. Pharmacological Reviews. 77(3). 100049–100049. 1 indexed citations

Head, T., et al.. (2020). scikit-optimize/scikit-optimize. Zenodo (CERN European Organization for Nuclear Research). 54 indexed citations

Wasser, Leah, Maxwell B. Joseph, Joseph McGlinchy, et al.. (2019). EarthPy: A Python package that makes it easier to explore and plot raster and vector data using open source Python tools.. The Journal of Open Source Software. 4(43). 1886–1886. 9 indexed citations

Tzovaras, Bastian Greshake, Misha Angrist, Kevin J. Arvai, et al.. (2019). Open Humans: A platform for participant-centered research and personal data exploration. GigaScience. 8(6). 41 indexed citations

Forde, Jessica Zosa, Matthias Bussonnier, Félix-Antoine Fortin, et al.. (2018). Reproducing Machine Learning Research on Binder. 3 indexed citations

Bussonnier, Matthias, Jessica Zosa Forde, Jeremy Freeman, et al.. (2018). Binder 2.0 - Reproducible, interactive, sharable environments for science at scale. Proceedings of the Python in Science Conferences. 113–120. 165 indexed citations

Forde, Jessica Zosa, et al.. (2018). Reproducible Research Environments with Repo2Docker. 7 indexed citations

Ustyuzhanin, A., et al.. (2017). Everware toolkit. Supporting reproducible science and challenge-driven education.. Journal of Physics Conference Series. 898. 72051–72051. 1 indexed citations

Standage, Daniel, Michael R. Crusoe, T. Head, et al.. (2017). khmer release v2.1: software for biological sequence analysis. The Journal of Open Source Software. 2(15). 272–272. 3 indexed citations

10.

Head, T.. (2014). The silicon vertex locator for the LHCb upgrade. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 765. 244–246.

11.

Head, T.. (2014). The LHCb trigger system. Journal of Instrumentation. 9(9). C09015–C09015. 5 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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