John McCormac

1.7k total citations · 1 hit paper
3 papers, 777 citations indexed

About

John McCormac is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Geology. According to data from OpenAlex, John McCormac has authored 3 papers receiving a total of 777 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 Geology. Recurrent topics in John McCormac's work include Advanced Image and Video Retrieval Techniques (3 papers), Robotics and Sensor-Based Localization (3 papers) and Advanced Neural Network Applications (1 paper). John McCormac is often cited by papers focused on Advanced Image and Video Retrieval Techniques (3 papers), Robotics and Sensor-Based Localization (3 papers) and Advanced Neural Network Applications (1 paper). John McCormac collaborates with scholars based in United Kingdom. John McCormac's co-authors include Andrew J. Davison, Stefan Leutenegger, Ankur Handa, Michael Bloesch and Ronald Clark and has published in prestigious journals such as Spiral (Imperial College London).

In The Last Decade

John McCormac

3 papers receiving 743 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

SemanticFusion: Dense 3D semantic mapping with convolutional neural networks

2017 423 citations John McCormac, Ankur Handa et al. Spiral (Imperial College London) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John McCormac United Kingdom	3	613	540	220	82	79	3	777
Haoang Li Hong Kong	12	404 0.7×	427 0.8×	216 1.0×	97 1.2×	83 1.1×	36	605
Jingnan Shi United States	6	353 0.6×	512 0.9×	260 1.2×	163 2.0×	139 1.8×	12	732
Dániel Baráth Switzerland	12	435 0.7×	383 0.7×	97 0.4×	52 0.6×	59 0.7×	49	571
Enrique Dunn United States	15	734 1.2×	481 0.9×	156 0.7×	70 0.9×	45 0.6×	40	860
Álvaro Parra Australia	9	211 0.3×	285 0.5×	150 0.7×	124 1.5×	68 0.9×	15	439
Tianwei Shen Hong Kong	11	986 1.6×	505 0.9×	215 1.0×	97 1.2×	116 1.5×	18	1.2k
Narunas Vaškevičius Germany	15	553 0.9×	714 1.3×	353 1.6×	210 2.6×	57 0.7×	44	909
Manuel Werlberger Austria	7	938 1.5×	703 1.3×	217 1.0×	47 0.6×	38 0.5×	7	1.1k
Alexander Vakhitov Russia	9	472 0.8×	365 0.7×	161 0.7×	31 0.4×	75 0.9×	20	602
Yun Chang United States	11	391 0.6×	474 0.9×	124 0.6×	59 0.7×	21 0.3×	15	670

Countries citing papers authored by John McCormac

Since Specialization

Citations

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

Fields of papers citing papers by John McCormac

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John McCormac

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

All Works

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3 of 3 papers shown

1.

McCormac, John, Ronald Clark, Michael Bloesch, Andrew J. Davison, & Stefan Leutenegger. (2018). Fusion++: Volumetric Object-Level SLAM. Spiral (Imperial College London). 32–41. 197 indexed citations

2.

McCormac, John, Ankur Handa, Stefan Leutenegger, & Andrew J. Davison. (2017). SceneNet RGB-D: Can 5M Synthetic Images Beat Generic ImageNet Pre-training on Indoor Segmentation?. Spiral (Imperial College London). 2697–2706. 157 indexed citations

3.

McCormac, John, Ankur Handa, Andrew J. Davison, & Stefan Leutenegger. (2017). SemanticFusion: Dense 3D semantic mapping with convolutional neural networks. Spiral (Imperial College London). 4628–4635. 423 indexed citations breakdown →

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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