John P. Granieri

11 total papers · 403 total citations
11 papers, 249 citations indexed

About

John P. Granieri is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Human-Computer Interaction. According to data from OpenAlex, John P. Granieri has authored 11 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Control and Systems Engineering, 10 papers in Computer Vision and Pattern Recognition and 3 papers in Human-Computer Interaction. Recurrent topics in John P. Granieri's work include Human Motion and Animation (10 papers), Human Pose and Action Recognition (6 papers) and Robotic Path Planning Algorithms (3 papers). John P. Granieri is often cited by papers focused on Human Motion and Animation (10 papers), Human Pose and Action Recognition (6 papers) and Robotic Path Planning Algorithms (3 papers). John P. Granieri collaborates with scholars based in United States. John P. Granieri's co-authors include Norman I. Badler, Cary B. Phillips, Jonathan Crabtree, Rama Bindiganavale, Hyeong‐Seok Ko, Jianping Shi, David R. Pratt, John Locke, Paul T. Barham and S.C. Jacobsen and has published in prestigious journals such as PRESENCE Virtual and Augmented Reality, ACM Transactions on Modeling and Computer Simulation and Scholarly Commons (University of Pennsylvania).

In The Last Decade

John P. Granieri

11 papers receiving 212 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
John P. Granieri 174 150 80 34 17 11 249
Michael McKenna 172 1.0× 153 1.0× 87 1.1× 14 0.4× 37 2.2× 9 286
Sahil Narang 137 0.8× 106 0.7× 47 0.6× 35 1.0× 11 0.6× 16 297
Hongjie Fang 105 0.6× 185 1.2× 36 0.5× 52 1.5× 12 0.7× 10 269
Chavdar Papazov 186 1.1× 98 0.7× 30 0.4× 33 1.0× 11 0.6× 8 296
Yunrong Guo 184 1.1× 162 1.1× 17 0.2× 68 2.0× 9 0.5× 10 315
Henrik Tramberend 127 0.7× 49 0.3× 120 1.5× 57 1.7× 55 3.2× 15 289
Douglas Fidaleo 228 1.3× 44 0.3× 41 0.5× 21 0.6× 10 0.6× 18 330
Muhammed Kocabas 208 1.2× 128 0.9× 77 1.0× 12 0.4× 11 0.6× 13 263
Alexander Clegg 132 0.8× 130 0.9× 14 0.2× 38 1.1× 22 1.3× 11 254
Lucas Manuelli 106 0.6× 138 0.9× 27 0.3× 19 0.6× 3 0.2× 7 219

Countries citing papers authored by John P. Granieri

Since Specialization
Citations

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

Fields of papers citing papers by John P. Granieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John P. Granieri

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

All Works

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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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