Craig Gutterman

806 total citations
27 papers, 548 citations indexed

About

Craig Gutterman is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Craig Gutterman has authored 27 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Networks and Communications, 16 papers in Electrical and Electronic Engineering and 5 papers in Artificial Intelligence. Recurrent topics in Craig Gutterman's work include Wireless Networks and Protocols (11 papers), Cooperative Communication and Network Coding (8 papers) and Advanced Photonic Communication Systems (7 papers). Craig Gutterman is often cited by papers focused on Wireless Networks and Protocols (11 papers), Cooperative Communication and Network Coding (8 papers) and Advanced Photonic Communication Systems (7 papers). Craig Gutterman collaborates with scholars based in United States, Ireland and Spain. Craig Gutterman's co-authors include Gil Zussman, Daniel C. Kilper, Yao Li, Weiyang Mo, Katherine Guo, Jiakai Yu, Yigal Bejerano, Ivan Seskar, Ethan Katz-Bassett and Xiaoyang Wang and has published in prestigious journals such as Optics Express, IEEE Transactions on Wireless Communications and IEEE/ACM Transactions on Networking.

In The Last Decade

Craig Gutterman

27 papers receiving 535 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Craig Gutterman United States	15	343	233	100	77	40	27	548
Ezzeldin Hamed United States	6	274 0.8×	159 0.7×	38 0.4×	45 0.6×	71 1.8×	8	389
Andrea Marotta Italy	13	279 0.8×	186 0.8×	34 0.3×	48 0.6×	32 0.8×	82	438
Thorsten Herfet Germany	12	157 0.5×	223 1.0×	144 1.4×	34 0.4×	87 2.2×	89	409
Atsushi Tagami Japan	12	117 0.3×	334 1.4×	46 0.5×	54 0.7×	19 0.5×	73	429
Nadine Abbas Lebanon	10	147 0.4×	231 1.0×	37 0.4×	66 0.9×	25 0.6×	30	333
Jiguang Lv China	10	250 0.7×	197 0.8×	52 0.5×	101 1.3×	108 2.7×	27	391
Alok Kumar India	12	258 0.8×	263 1.1×	24 0.2×	62 0.8×	27 0.7×	51	425
Björn Richerzhagen Germany	10	258 0.8×	266 1.1×	43 0.4×	36 0.5×	24 0.6×	49	509
Paul Congdon United States	8	391 1.1×	271 1.2×	41 0.4×	45 0.6×	122 3.0×	10	532
Maria Luisa Merani Italy	12	318 0.9×	281 1.2×	31 0.3×	30 0.4×	18 0.5×	72	407

Countries citing papers authored by Craig Gutterman

Since Specialization

Citations

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

Fields of papers citing papers by Craig Gutterman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Craig Gutterman

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

Yu, Jiakai, et al.. (2022). A Software-Defined Programmable Testbed for Beyond 5G Optical-Wireless Experimentation at City-Scale. IEEE Network. 36(2). 90–99. 19 indexed citations

2.

Yu, Jiakai, et al.. (2021). Machine-learning-based EDFA gain estimation [Invited]. Journal of Optical Communications and Networking. 13(4). B83–B83. 32 indexed citations

3.

Yu, Jiakai, et al.. (2020). Dual Use SDN Controller for Management and Experimentation in a Field Deployed Testbed. T3J.3–T3J.3. 4 indexed citations

4.

Raychaudhuri, Dipankar, Ivan Seskar, Gil Zussman, et al.. (2020). Challenge. 1–13. 101 indexed citations

5.

Gutterman, Craig, et al.. (2020). Stallion. 327–332. 21 indexed citations

6.

Gutterman, Craig, et al.. (2020). Hybrid Machine Learning EDFA Model. Arrow@dit (Dublin Institute of Technology). T4B.4–T4B.4. 21 indexed citations

7.

Gutterman, Craig, et al.. (2019). Requet. 48–59. 52 indexed citations

8.

Bejerano, Yigal, et al.. (2019). <italic>DyMo</italic>: Dynamic Monitoring of Large-Scale LTE-Multicast Systems. IEEE/ACM Transactions on Networking. 27(1). 258–271. 2 indexed citations

9.

Yu, Jiakai, et al.. (2019). COSMOS: Optical Architecture and Prototyping. M3G.3–M3G.3. 9 indexed citations

10.

Gutterman, Craig, et al.. (2018). Machine Learning Based Prediction of Erbium-Doped Fiber WDM Line Amplifier Gain Spectra. 1–3. 39 indexed citations

11.

Gutterman, Craig, et al.. (2018). Experimental Evaluation of Large Scale WiFi Multicast Rate Control. IEEE Transactions on Wireless Communications. 17(4). 2319–2332. 10 indexed citations

12.

Mo, Weiyang, et al.. (2018). Deep-Neural-Network-Based Wavelength Selection and Switching in ROADM Systems. Journal of Optical Communications and Networking. 10(10). D1–D1. 36 indexed citations

13.

Gutterman, Craig, et al.. (2017). Dynamic mitigation of EDFA power excursions with machine learning. Optics Express. 25(3). 2245–2245. 32 indexed citations

14.

Bejerano, Yigal, et al.. (2017). DyMo: Dynamic monitoring of large scale LTE-Multicast systems. 15. 1–9. 5 indexed citations

15.

Wu, Bo-Han, et al.. (2017). Demo abstract: Evaluating video delivery over wireless multicast. 974–975. 1 indexed citations

16.

Bejerano, Yigal, et al.. (2016). Light-Weight Feedback Mechanism for WiFi Multicast to Very Large Groups—Experimental Evaluation. IEEE/ACM Transactions on Networking. 24(6). 3826–3840. 8 indexed citations

17.

Bejerano, Yigal, et al.. (2016). AMuSe: Adaptive Multicast Services to Very Large Groups - Project Overview. 55. 1–9. 4 indexed citations

18.

Bejerano, Yigal, Katherine Guo, Varun Gupta, et al.. (2014). Experimental Evaluation of a Scalable WiFi Multicast Scheme in the ORBIT Testbed. Zenodo (CERN European Organization for Nuclear Research). 55. 36–42. 4 indexed citations

19.

Gutterman, Craig, Aveek Dutta, Dola Saha, et al.. (2013). Cognitive radio kit framework. ACM SIGMOBILE Mobile Computing and Communications Review. 17(1). 30–39. 2 indexed citations

20.

Gutterman, Craig, Aveek Dutta, Dola Saha, et al.. (2012). Cognitive radio kit framework. 3–10. 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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