Maice Costa

1.3k total citations · 1 hit paper
21 papers, 839 citations indexed

About

Maice Costa is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Maice Costa has authored 21 papers receiving a total of 839 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Networks and Communications, 15 papers in Electrical and Electronic Engineering and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Maice Costa's work include Age of Information Optimization (9 papers), IoT Networks and Protocols (5 papers) and Advanced MIMO Systems Optimization (5 papers). Maice Costa is often cited by papers focused on Age of Information Optimization (9 papers), IoT Networks and Protocols (5 papers) and Advanced MIMO Systems Optimization (5 papers). Maice Costa collaborates with scholars based in United States, Ireland and Finland. Maice Costa's co-authors include Anthony Ephremides, Marian Codreanu, Nicholas J. Kaminski, Luiz A. DaSilva, Stefan Valentin, Yalin E. Sagduyu, Abolfazl Razi, Ali Abedi, Fatemeh Afghah and Linda Doyle and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Journal on Selected Areas in Communications and Remote Sensing.

In The Last Decade

Maice Costa

18 papers receiving 825 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.

On the Age of Information in Status Update Systems With Packet Management

2016 458 citations Maice Costa, Marian Codreanu et al. IEEE Transactions on Information Theory profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maice Costa United States	10	799	468	391	162	72	21	839
Igor Kadota United States	11	1.1k 1.3×	680 1.5×	572 1.5×	167 1.0×	101 1.4×	30	1.2k
Antzela Kosta Sweden	3	600 0.8×	341 0.7×	261 0.7×	97 0.6×	63 0.9×	4	642
Clement Kam United States	15	955 1.2×	500 1.1×	475 1.2×	220 1.4×	90 1.3×	49	1.0k
Elif Tuğçe Ceran United Kingdom	9	483 0.6×	349 0.7×	264 0.7×	69 0.4×	32 0.4×	17	560
Mohammad Moltafet Finland	16	499 0.6×	562 1.2×	215 0.5×	89 0.5×	27 0.4×	49	829
Rajat Talak United States	10	365 0.5×	223 0.5×	181 0.5×	63 0.4×	31 0.4×	22	424
Yu-Pin Hsu Taiwan	11	273 0.3×	249 0.5×	101 0.3×	90 0.6×	20 0.3×	29	418
Ali Maatouk France	9	247 0.3×	210 0.4×	83 0.2×	40 0.2×	15 0.2×	27	401
Xi Zheng China	6	272 0.3×	194 0.4×	138 0.4×	31 0.2×	20 0.3×	13	304
Yunquan Dong China	14	395 0.5×	390 0.8×	119 0.3×	29 0.2×	8 0.1×	57	546

Countries citing papers authored by Maice Costa

Since Specialization

Citations

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

Fields of papers citing papers by Maice Costa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maice Costa

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Costa, Maice, et al.. (2024). Uncertainty Quantification in Data Fusion Classifier for Ship-Wake Detection. Remote Sensing. 16(24). 4669–4669.

2.

Costa, Maice & Yalin E. Sagduyu. (2024). Timely NextG Communications with Decoy Assistance against Deep Learning-based Jamming. arXiv (Cornell University). 554–559. 2 indexed citations

3.

Costa, Maice & Yalin E. Sagduyu. (2024). Timeliness in NextG Spectrum Sharing under Jamming Attacks with Deep Learning. 1–5.

4.

Costa, Maice & Yalin E. Sagduyu. (2023). Timely and covert communications under deep learning-based eavesdropping and jamming effects. Journal of Communications and Networks. 25(5). 621–630. 2 indexed citations

5.

Erpek, Tugba, Yalin E. Sagduyu, Yi Shi, et al.. (2018). Routing, Network Coding and TCP Support for Wideband HF Communications. 157–162. 3 indexed citations

6.

Costa, Maice, et al.. (2018). Using Correlated Information to Extend Device Lifetime. IEEE Internet of Things Journal. 6(2). 2439–2448. 37 indexed citations

7.

Costa, Maice & Yalin E. Sagduyu. (2018). Age of Information with network coding. Ad Hoc Networks. 86. 15–22. 10 indexed citations

8.

Costa, Maice, et al.. (2017). On energy efficiency and lifetime in low power wide area network for the Internet of Things. 258–263. 13 indexed citations

9.

Costa, Maice, et al.. (2017). Updating Strategies in the Internet of Things by Taking Advantage of Correlated Sources. 1–6. 9 indexed citations

10.

Costa, Maice & Anthony Ephremides. (2016). Energy Efficiency Versus Performance in Cognitive Wireless Networks. IEEE Journal on Selected Areas in Communications. 34(5). 1336–1347. 16 indexed citations

11.

Costa, Maice, Marian Codreanu, & Anthony Ephremides. (2016). On the Age of Information in Status Update Systems With Packet Management. IEEE Transactions on Information Theory. 62(4). 1897–1910. 458 indexed citations breakdown →

12.

Costa, Maice, Stefan Valentin, & Anthony Ephremides. (2015). On the age of Channel State Information for non-reciprocal wireless links. 2356–2360. 12 indexed citations

13.

Costa, Maice, Stefan Valentin, & Anthony Ephremides. (2015). On the age of channel information for a Finite-State Markov model. 4101–4106. 17 indexed citations

14.

Costa, Maice, Marian Codreanu, & Anthony Ephremides. (2014). Age of information with packet management. 1583–1587. 222 indexed citations

15.

Costa, Maice & Anthony Ephremides. (2014). Energy efficiency in cooperative cognitive wireless networks. 18. 1–6. 4 indexed citations

16.

Afghah, Fatemeh, Maice Costa, Abolfazl Razi, Ali Abedi, & Anthony Ephremides. (2013). A reputation-based Stackelberg game approach for spectrum sharing with cognitive cooperation. 2. 3287–3292. 23 indexed citations

17.

Costa, Maice. (2002). A progressive, recursive, fast, discrete cosine transform. assp 35. 121–121.

18.

Costa, Maice, et al.. (2002). Two-scale transmission of DCT-coded video over lossy packet networks. 2. 510–515. 1 indexed citations

19.

Costa, Maice. (2002). A practical demodulator for continuous phase modulation. 88–88. 6 indexed citations

20.

Costa, Maice, et al.. (1994). A Simplified Integer Cosine Transform and Its Application in Image Compression. 119. 129–139. 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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