T. Paul

3.2k total citations
2 papers, 5 citations indexed

About

T. Paul is a scholar working on Computer Vision and Pattern Recognition, Atmospheric Science and Aerospace Engineering. According to data from OpenAlex, T. Paul has authored 2 papers receiving a total of 5 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Computer Vision and Pattern Recognition, 1 paper in Atmospheric Science and 1 paper in Aerospace Engineering. Recurrent topics in T. Paul's work include Advanced Image and Video Retrieval Techniques (1 paper), Robotics and Sensor-Based Localization (1 paper) and Precipitation Measurement and Analysis (1 paper). T. Paul is often cited by papers focused on Advanced Image and Video Retrieval Techniques (1 paper), Robotics and Sensor-Based Localization (1 paper) and Precipitation Measurement and Analysis (1 paper). T. Paul collaborates with scholars based in United States. T. Paul's co-authors include S. Reucroft, Zhenhua Liu, L. Anchordoqui, T. McCauley, Anshul Gandhi, J.D. Swain and L. Taylor and has published in prestigious journals such as Nuclear Physics B - Proceedings Supplements.

In The Last Decade

T. Paul

2 papers receiving 5 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
T. Paul United States	2	2	1	1	1	1	2	5
Maria Nicassio Italy	2	2 1.0×					2	2
A. Lähteenmäki United States	2	2 1.0×					3	2
T. Ortmann Germany	2	2 1.0×			1 1.0×	1 1.0×	3	3
E. Gallo Italy	2	2 1.0×	1 1.0×				5	2
G. Lin Hong Kong	2	2 1.0×	1 1.0×				3	3
E. Contreras-Campana	1	2 1.0×					2	2
J. Seele	2	2 1.0×					2	2
N. Lychkovskaya Russia	1	2 1.0×					3	2
S. Panwalkar	1	2 1.0×					2	2
T. Paul Germany	1	2 1.0×					2	2

Countries citing papers authored by T. Paul

Since Specialization

Citations

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

Fields of papers citing papers by T. Paul

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

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2 of 2 papers shown

1.

Paul, T., et al.. (2024). KACE: Kernel-Aware Colocation for Efficient GPU Spatial Sharing. 460–469. 2 indexed citations

2.

Anchordoqui, L., T. McCauley, T. Paul, et al.. (2001). Simulation of water čerenkov detectors using GEANT4. Nuclear Physics B - Proceedings Supplements. 97(1-3). 196–198. 3 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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