T. Heap

474 total citations
5 papers, 257 citations indexed

About

T. Heap is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Signal Processing. According to data from OpenAlex, T. Heap has authored 5 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 3 papers in Aerospace Engineering and 1 paper in Signal Processing. Recurrent topics in T. Heap's work include Robotics and Sensor-Based Localization (3 papers), Human Pose and Action Recognition (2 papers) and Image Processing and 3D Reconstruction (2 papers). T. Heap is often cited by papers focused on Robotics and Sensor-Based Localization (3 papers), Human Pose and Action Recognition (2 papers) and Image Processing and 3D Reconstruction (2 papers). T. Heap collaborates with scholars based in United Kingdom. T. Heap's co-authors include David Hogg and has published in prestigious journals such as Image and Vision Computing and British Machine Vision Conference.

In The Last Decade

T. Heap

5 papers receiving 231 citations

Peers

T. Heap
Comparison fields: 5 of 38
  • Computer Vision and Pattern Recognition 209
  • Human-Computer Interaction 123
  • Control and Systems Engineering 61
  • Biomedical Engineering 29
  • Computational Mechanics 16
Replace Abhilash Srikantha with:
Abhilash Srikantha Germany
Jordi Sànchez-Riera Taiwan
Eng-Jon Ong United Kingdom
Markus Oberweger Austria
Mariko Isogawa Japan
Muhammed Kocabas Germany
Guillermo Garcia-Hernando United Kingdom
Wenbo Zhang China
Edoardo Remelli Switzerland
Xiangyang Ji China
Abhilash Srikantha Germany View profile →
Citations per field, relative to T. Heap
T. Heap · 1×
Citations per year, relative to T. Heap
T. Heap · 1×

Countries citing papers authored by T. Heap

Since Specialization
Citations

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

Fields of papers citing papers by T. Heap

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

5 of 5 papers shown
# Work Indexed citations
1 125
2 68
3
Improving Specificity in PDMs using a Hierarchical Approach.
37
4 16
5 11

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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2026