Jeff Rose

841 total citations
9 papers, 533 citations indexed

About

Jeff Rose is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Human-Computer Interaction. According to data from OpenAlex, Jeff Rose has authored 9 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 3 papers in Computer Networks and Communications and 3 papers in Human-Computer Interaction. Recurrent topics in Jeff Rose's work include Energy Efficient Wireless Sensor Networks (3 papers), Augmented Reality Applications (2 papers) and Interactive and Immersive Displays (2 papers). Jeff Rose is often cited by papers focused on Energy Efficient Wireless Sensor Networks (3 papers), Augmented Reality Applications (2 papers) and Interactive and Immersive Displays (2 papers). Jeff Rose collaborates with scholars based in India, Canada and United States. Jeff Rose's co-authors include Colin Ware, Brian Shucker, Richard Han, Anmol Sheth, Charles Gruenwald, James D. Carlson, Hui Dai, Jing Deng, Haibo Dai and James Carlson and has published in prestigious journals such as Pattern Recognition Letters, ACM Transactions on Computer-Human Interaction and Mobile Networks and Applications.

In The Last Decade

Jeff Rose

8 papers receiving 463 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jeff Rose India	6	348	192	107	98	92	9	533
Richa Prasad United States	6	141 0.4×	129 0.7×	288 2.7×	47 0.5×	20 0.2×	6	464
Albert Krohn Germany	10	163 0.5×	123 0.6×	124 1.2×	59 0.6×	7 0.1×	19	308
Hyeonjoong Cho South Korea	10	377 1.1×	58 0.3×	109 1.0×	41 0.4×	304 3.3×	51	568
S Srinath India	12	138 0.4×	63 0.3×	103 1.0×	77 0.8×	156 1.7×	42	399
Alain Pégatoquet France	11	207 0.6×	58 0.3×	298 2.8×	7 0.1×	46 0.5×	27	483
Fernando Díaz-del-Río Spain	10	85 0.2×	107 0.6×	39 0.4×	25 0.3×	10 0.1×	42	347
Chintan Patel United States	12	72 0.2×	55 0.3×	246 2.3×	76 0.8×	262 2.8×	41	584
Eben Upton United Kingdom	5	90 0.3×	72 0.4×	62 0.6×	37 0.4×	21 0.2×	8	255
Lorena Qendro United Kingdom	6	207 0.6×	331 1.7×	163 1.5×	25 0.3×	40 0.4×	12	588
Edwin Naroska Germany	8	102 0.3×	68 0.4×	74 0.7×	19 0.2×	37 0.4×	55	262

Countries citing papers authored by Jeff Rose

Since Specialization

Citations

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

Fields of papers citing papers by Jeff Rose

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeff Rose

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

All Works

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9 of 9 papers shown

1.

Shajin, Francis H., et al.. (2023). Generative Adversarial Networks Classifier Optimized with Water Strider Algorithm for Fake Tweets Detection. IETE Journal of Research. 70(2). 1556–1571. 1 indexed citations

2.

Balamurugan, V., et al.. (2022). Cross lingual handwritten character recognition using long short term memory network with aid of elephant herding optimization algorithm. Pattern Recognition Letters. 159. 16–22. 27 indexed citations

3.

Rose, Jeff, et al.. (2022). Credit Card Fraud Legal Advisor Tool Using Machine Learning. 2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon). 1–5.

4.

Balaji, N., et al.. (2021). Automated technique for carotid plaque characterisation and classification using RDWT in ultrasound images. Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization. 10(2). 187–199. 3 indexed citations

5.

Carlson, James D., Hui Dai, Jing Deng, et al.. (2005). MANTIS OS: An Embedded Multithreaded Operating System for Wireless Micro Sensor Platforms. Mobile Networks and Applications. 10(4). 563–579. 250 indexed citations

6.

Carzaniga, Antonio, et al.. (2004). A Content-Based Networking Protocol For Sensor Networks. 21 indexed citations

7.

Carlson, James, Haibo Dai, Jeff Rose, et al.. (2003). MANTIS. 50–59. 127 indexed citations

8.

Ware, Colin & Jeff Rose. (1999). Rotating virtual objects with real handles. ACM Transactions on Computer-Human Interaction. 6(2). 162–180. 99 indexed citations

9.

Ware, Colin & Jeff Rose. (1998). Real handles, virtual images. University of New Hampshire Scholars Repository (University of New Hampshire at Manchester). 235–236. 5 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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