Mark Cudak

2.4k total citations · 2 hit papers
38 papers, 1.7k citations indexed

About

Mark Cudak is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Media Technology. According to data from OpenAlex, Mark Cudak has authored 38 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Electrical and Electronic Engineering, 12 papers in Computer Networks and Communications and 8 papers in Media Technology. Recurrent topics in Mark Cudak's work include Advanced MIMO Systems Optimization (24 papers), Millimeter-Wave Propagation and Modeling (17 papers) and Advanced Wireless Network Optimization (14 papers). Mark Cudak is often cited by papers focused on Advanced MIMO Systems Optimization (24 papers), Millimeter-Wave Propagation and Modeling (17 papers) and Advanced Wireless Network Optimization (14 papers). Mark Cudak collaborates with scholars based in United States, Japan and Australia. Mark Cudak's co-authors include Timothy A. Thomas, Amitava Ghosh, Rapeepat Ratasuk, Prakash Moorut, Frederick W. Vook, Eugene Visotsky, Jeffrey G. Andrews, Amitabha Ghosh, George R. MacCartney and Theodore S. Rappaport and has published in prestigious journals such as IEEE Journal on Selected Areas in Communications, IEEE Communications Magazine and IEEE Wireless Communications.

In The Last Decade

Mark Cudak

36 papers receiving 1.7k 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.

Heterogeneous cellular networks: From theory to practice

2012 623 citations Amitabha Ghosh, Rapeepat Ratasuk et al. IEEE Communications Magazine profile →
Millimeter-Wave Enhanced Local Area Systems: A High-Data-Rate Approach for Future Wireless Networks

2014 584 citations Amitava Ghosh, Timothy A. Thomas et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark Cudak United States	14	1.7k	715	304	145	26	38	1.7k
Yuanpeng Liu United States	5	1.8k 1.1×	288 0.4×	524 1.7×	105 0.7×	16 0.6×	8	1.8k
Mustafa Riza Akdeniz United States	9	2.0k 1.2×	354 0.5×	554 1.8×	134 0.9×	25 1.0×	15	2.1k
Juyul Lee South Korea	16	906 0.5×	366 0.5×	118 0.4×	96 0.7×	15 0.6×	87	966
David Mazzarese United States	10	1.2k 0.7×	879 1.2×	209 0.7×	42 0.3×	10 0.4×	22	1.3k
Naga Bhushan United States	8	1.6k 0.9×	1.2k 1.7×	113 0.4×	99 0.7×	27 1.0×	13	1.7k
Wolfgang Zirwas Germany	16	2.5k 1.5×	2.0k 2.9×	219 0.7×	86 0.6×	34 1.3×	73	2.7k
Ανδρέας Γεωργακόπουλος Greece	11	603 0.4×	377 0.5×	196 0.6×	52 0.4×	14 0.5×	41	745
Anvar Tukmanov United Kingdom	10	583 0.4×	290 0.4×	147 0.5×	69 0.5×	14 0.5×	31	669
Chin‐Sean Sum Japan	18	1.6k 1.0×	522 0.7×	359 1.2×	57 0.4×	91 3.5×	68	1.7k
Adriana Flores United States	7	749 0.5×	310 0.4×	167 0.5×	39 0.3×	35 1.3×	12	856

Countries citing papers authored by Mark Cudak

Since Specialization

Citations

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

Fields of papers citing papers by Mark Cudak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Cudak

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

All Works

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20 of 20 papers shown

1.

Cudak, Mark, Amitabha Ghosh, Arunabha Ghosh, & Jeffrey G. Andrews. (2021). Integrated Access and Backhaul: A Key Enabler for 5G Millimeter-Wave Deployments. IEEE Communications Magazine. 59(4). 88–94. 41 indexed citations

2.

Rao, Anil V., et al.. (2019). Learning-based Delay Optimization for Self-Backhauled Millimeter Wave Cellular Networks. 1076–1080. 2 indexed citations

3.

Hattab, Ghaith, Eugene Visotsky, Mark Cudak, & Amitava Ghosh. (2018). Toward the Coexistence of 5G MmWave Networks with Incumbent Systems beyond 70 GHz. IEEE Wireless Communications. 25(4). 18–24. 9 indexed citations

4.

Hattab, Ghaith, Eugene Visotsky, Mark Cudak, & Amitava Ghosh. (2018). Interference Mitigation via Beam Range Biasing for 5G mmWave Coexistence with Incumbents. 210–214. 4 indexed citations

5.

Inoue, Yuki, et al.. (2017). Field Experimental Evaluation on 5G Millimeter Wave Radio Access for Mobile Communications. IEICE Transactions on Communications. E100.B(8). 1269–1276. 1 indexed citations

6.

Inoue, Yuki, et al.. (2015). Field Experiments on 5G mmW Radio Access with Beam Tracking in Small Cell Environments. 52. 1–6. 19 indexed citations

7.

Kishiyama, Yoshihisa, Takehiro Nakamura, Amitava Ghosh, & Mark Cudak. (2014). B-5-59 Concept of mmW Experimental Trial for 5G Radio Access. 2014(1). 330. 4 indexed citations

8.

Cudak, Mark, et al.. (2014). Experimental mm wave 5G cellular system. 61 indexed citations

9.

Cudak, Mark, Amitava Ghosh, Rapeepat Ratasuk, et al.. (2013). Moving Towards Mmwave-Based Beyond-4G (B-4G) Technology. 1–5. 67 indexed citations

10.

Thomas, Timothy A., et al.. (2013). Air interface design and ray tracing study for 5G millimeter wave communications. 117–122. 91 indexed citations

11.

Jung, Hyejung, Mark Cudak, Kevin Baum, & Vijay Nangia. (2009). Impact of Out-of-Band Emission in OFDM and in DFT-SOFDM. 1–5. 2 indexed citations

12.

Sartori, Philippe, Kevin Baum, Brian Classon, & Mark Cudak. (2006). Improving the uplink data rate of portable devices in broadband systems with relaying. 4. 2542–2546. 1 indexed citations

13.

Ghosh, Amitava, et al.. (2005). Shared channels for packet data transmission in W-CDMA. 2. 943–947. 1 indexed citations

14.

Talukdar, Anup Kumar, Philippe Sartori, Mark Cudak, Brian Classon, & Yufei Blankenship. (2005). Aggressive Modulation/Coding Scheme Selection for Maximizing System Throughput in a Multi-Carrier System. 5. 3038–3042. 6 indexed citations

15.

Baum, Kevin, Vijay Nangia, & Mark Cudak. (2004). Ranging Enhancement for 802.16e OFDMA PHY. 9 indexed citations

16.

Love, Robert, Brian Classon, Amitava Ghosh, & Mark Cudak. (2003). Incremental redundancy for evolutions of 3G CDMA systems. 1. 454–458. 10 indexed citations

17.

Talukdar, Anup Kumar & Mark Cudak. (2002). Impact of radio resource control mechanisms on the performance of Internet applications. 2. 866–870. 1 indexed citations

18.

Love, Robert, et al.. (2002). High speed downlink packet access performance. 2234–2238. 43 indexed citations

19.

Ghosh, Amitava, Louay M. A. Jalloul, Mark Cudak, & Brian Classon. (2002). Performance of coded higher order modulation and hybrid ARQ for next generation cellular CDMA systems. 2. 500–505. 17 indexed citations

20.

Ghosh, Amitava, Louay M. A. Jalloul, Brian J. Love, Mark Cudak, & Brian Classon. (2002). Air-interface for 1XTREME/1xEV-DV. 4. 2474–2478. 2 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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