Rob Miller

944 total citations
12 papers, 644 citations indexed

About

Rob Miller is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Rob Miller has authored 12 papers receiving a total of 644 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electrical and Electronic Engineering, 6 papers in Computer Networks and Communications and 6 papers in Artificial Intelligence. Recurrent topics in Rob Miller's work include Wireless Communication Security Techniques (5 papers), Cognitive Radio Networks and Spectrum Sensing (3 papers) and Power Line Communications and Noise (2 papers). Rob Miller is often cited by papers focused on Wireless Communication Security Techniques (5 papers), Cognitive Radio Networks and Spectrum Sensing (3 papers) and Power Line Communications and Noise (2 papers). Rob Miller collaborates with scholars based in United States, Netherlands and Germany. Rob Miller's co-authors include Wade Trappe, Wenyuan Xu, Hossen Asiful Mustafa, Marco Gruteser, Li Zang, Sang-Ho Oh, Ivan Seskar, Travis S. Taylor, Wenyuan Xu and Pandurang Kamat and has published in prestigious journals such as IEEE Transactions on Mobile Computing, USENIX Security Symposium and Scholar Commons (University of South Carolina).

In The Last Decade

Rob Miller

12 papers receiving 603 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rob Miller United States	8	438	258	251	116	107	12	644
Hossen Asiful Mustafa Bangladesh	10	272 0.6×	191 0.7×	218 0.9×	133 1.1×	143 1.3×	28	555
Shubin Zhang China	11	353 0.8×	114 0.4×	368 1.5×	63 0.5×	86 0.8×	29	594
Amir Alipour-Fanid United States	13	553 1.3×	222 0.9×	252 1.0×	77 0.7×	46 0.4×	22	804
Ping Dong China	14	384 0.9×	159 0.6×	669 2.7×	62 0.5×	86 0.8×	81	819
Ulf E. Larson Sweden	12	454 1.0×	137 0.5×	309 1.2×	201 1.7×	179 1.7×	26	635
Tuan Vuong United Kingdom	8	190 0.4×	170 0.7×	290 1.2×	182 1.6×	89 0.8×	10	451
Mourad Elhadef United Arab Emirates	13	156 0.4×	146 0.6×	300 1.2×	40 0.3×	45 0.4×	57	567
Eirini Karapistoli Greece	13	282 0.6×	90 0.3×	383 1.5×	80 0.7×	68 0.6×	37	598
Hongjun Choi South Korea	11	98 0.2×	222 0.9×	281 1.1×	118 1.0×	92 0.9×	50	549
Abd Ullah Khan Pakistan	16	275 0.6×	137 0.5×	468 1.9×	54 0.5×	266 2.5×	36	659

Countries citing papers authored by Rob Miller

Since Specialization

Citations

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

Fields of papers citing papers by Rob Miller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rob Miller

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

All Works

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12 of 12 papers shown

1.

Toliver, P., et al.. (2021). Reservoir-Based Distributed Machine Learning for Edge Operation of Emitter Identification. 5. 96–101. 4 indexed citations

2.

Miller, Rob, et al.. (2019). Adversarial Examples in RF Deep Learning: Detection and Physical Robustness. 1–5. 45 indexed citations

3.

Miller, Rob, et al.. (2019). Targeted Adversarial Examples Against RF Deep Classifiers. 6–11. 42 indexed citations

4.

Mustafa, Hossen Asiful, et al.. (2012). Neighborhood watch. Scholar Commons (University of South Carolina). 462–473. 79 indexed citations

5.

Miller, Rob & Wade Trappe. (2011). On the Vulnerabilities of CSI in MIMO Wireless Communication Systems. IEEE Transactions on Mobile Computing. 11(8). 1386–1398. 36 indexed citations

6.

Miller, Rob, Hossen Asiful Mustafa, Travis S. Taylor, et al.. (2010). Security and privacy vulnerabilities of in-car wireless networks: a tire pressure monitoring system case study. USENIX Security Symposium. 10(7). 21–21. 258 indexed citations

7.

Miller, Rob & Wade Trappe. (2010). Subverting MIMO wireless systems by jamming the channel estimation procedure. 19–24. 17 indexed citations

8.

Miller, Rob & Wade Trappe. (2010). Physical Layer Techniques for Enhanced Situational Awareness. 9. 2234–2237. 2 indexed citations

9.

Miller, Rob, Shalini Jain, & Wade Trappe. (2008). Radio teaming: Establishing communication when communication is not possible. 365–370. 4 indexed citations

10.

Miller, Rob, Wenyuan Xu, Pandurang Kamat, & Wade Trappe. (2007). Service Discovery and Device Identification in Cognitive Radio Networks. Scholar Commons (University of South Carolina). 670–677. 19 indexed citations

11.

Miller, Rob, Wenyuan Xu, Pandurang Kamat, & Wade Trappe. (2007). Service Discovery and Device Identification in Cognitive Radio Networks. 40–47. 7 indexed citations

12.

Zang, Li, Wenyuan Xu, Rob Miller, & Wade Trappe. (2006). Securing wireless systems via lower layer enforcements. Scholar Commons (University of South Carolina). 33–42. 131 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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