Jeff Morgan

13 total papers · 849 total citations
7 papers, 533 citations indexed

About

Jeff Morgan is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Jeff Morgan has authored 7 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 5 papers in Computer Networks and Communications and 3 papers in Information Systems. Recurrent topics in Jeff Morgan's work include Context-Aware Activity Recognition Systems (5 papers), Opportunistic and Delay-Tolerant Networks (2 papers) and ICT in Developing Communities (2 papers). Jeff Morgan is often cited by papers focused on Context-Aware Activity Recognition Systems (5 papers), Opportunistic and Delay-Tolerant Networks (2 papers) and ICT in Developing Communities (2 papers). Jeff Morgan collaborates with scholars based in United States and Israel. Jeff Morgan's co-authors include Mirjana Spasojevic, John Barton, Tim Kindberg, John Schettino, G. Gopal, Howard R. Morris, William B. Pennebaker, Huei Peng, Heidi A. Peterson and Deborah R. Caswell and has published in prestigious journals such as Biophysical Journal, Mobile Networks and Applications and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

In The Last Decade

Jeff Morgan

4 papers receiving 450 citations

Hit Papers

People, Places, Things: W... 2002 2026 2010 2018 2002 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Jeff Morgan 395 275 121 117 77 7 533
John Schettino 359 0.9× 274 1.0× 121 1.0× 117 1.0× 78 1.0× 6 503
J.D. Bovey 336 0.9× 225 0.8× 53 0.4× 160 1.4× 42 0.5× 13 514
Nicky Kern 418 1.1× 100 0.4× 99 0.8× 49 0.4× 87 1.1× 7 603
Wei Chong Ng 107 0.3× 206 0.7× 144 1.2× 155 1.3× 63 0.8× 11 548
E. Jansen 459 1.2× 317 1.2× 46 0.4× 79 0.7× 164 2.1× 5 591
Raffi Krikorian 98 0.2× 227 0.8× 23 0.2× 95 0.8× 71 0.9× 8 469
Tsung‐Hsiang Chang 142 0.4× 94 0.3× 142 1.2× 206 1.8× 13 0.2× 10 545
Karthik Gopalratnam 300 0.8× 184 0.7× 18 0.1× 56 0.5× 163 2.1× 6 489
Ken Fishkin 313 0.8× 61 0.2× 218 1.8× 46 0.4× 14 0.2× 12 480
Maya Haridasan 105 0.3× 199 0.7× 25 0.2× 168 1.4× 80 1.0× 15 479

Countries citing papers authored by Jeff Morgan

Since Specialization
Citations

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

Fields of papers citing papers by Jeff Morgan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeff Morgan

This figure shows the co-authorship network connecting the top 25 collaborators of Jeff Morgan. A scholar is included among the top collaborators of Jeff Morgan 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 Jeff Morgan. Jeff Morgan 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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