Igor Kadota

1.9k total citations · 1 hit paper
30 papers, 1.2k citations indexed

About

Igor Kadota is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Epidemiology. According to data from OpenAlex, Igor Kadota has authored 30 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Electrical and Electronic Engineering, 22 papers in Computer Networks and Communications and 8 papers in Epidemiology. Recurrent topics in Igor Kadota's work include Age of Information Optimization (14 papers), Congenital Heart Disease Studies (8 papers) and Advanced MIMO Systems Optimization (8 papers). Igor Kadota is often cited by papers focused on Age of Information Optimization (14 papers), Congenital Heart Disease Studies (8 papers) and Advanced MIMO Systems Optimization (8 papers). Igor Kadota collaborates with scholars based in United States, Chile and India. Igor Kadota's co-authors include Eytan Modiano, Abhishek Sinha, Elif Uysal‐Biyikoglu, Rahul Singh, Rajat Talak, Yin Sun, Gil Zussman, Aravind Nagulu, Harish Krishnaswamy and Tingjun Chen and has published in prestigious journals such as Proceedings of the IEEE, IEEE Journal on Selected Areas in Communications and IEEE Journal of Solid-State Circuits.

In The Last Decade

Igor Kadota

29 papers receiving 1.1k citations

Hit Papers

Scheduling Policies for Minimizing Age of Information in ... 2018 2026 2020 2023 2018 100 200 300
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.

  1. Scheduling Policies for Minimizing Age of Information in Broadcast Wireless Networks
    2018 385 citations Igor Kadota, Abhishek Sinha et al. IEEE/ACM Transactions on Networking profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Igor Kadota United States 11 1.1k 680 572 167 101 30 1.2k
Maice Costa United States 10 799 0.8× 468 0.7× 391 0.7× 162 1.0× 72 0.7× 21 839
Clement Kam United States 15 955 0.9× 500 0.7× 475 0.8× 220 1.3× 90 0.9× 49 1.0k
Antzela Kosta Sweden 3 600 0.6× 341 0.5× 261 0.5× 97 0.6× 63 0.6× 4 642
Mohammad Moltafet Finland 16 499 0.5× 562 0.8× 215 0.4× 89 0.5× 27 0.3× 49 829
Elif Tuğçe Ceran United Kingdom 9 483 0.5× 349 0.5× 264 0.5× 69 0.4× 32 0.3× 17 560
Rajat Talak United States 10 365 0.3× 223 0.3× 181 0.3× 63 0.4× 31 0.3× 22 424
Ali Maatouk France 9 247 0.2× 210 0.3× 83 0.1× 40 0.2× 15 0.1× 27 401
Anders E. Kalør Denmark 13 408 0.4× 260 0.4× 46 0.1× 30 0.2× 14 0.1× 41 580
Yunquan Dong China 14 395 0.4× 390 0.6× 119 0.2× 29 0.2× 8 0.1× 57 546
Hussein Al-Zubaidy Sweden 11 387 0.4× 384 0.6× 80 0.1× 28 0.2× 4 0.0× 35 520

Countries citing papers authored by Igor Kadota

Since Specialization
Citations

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

Fields of papers citing papers by Igor Kadota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Igor Kadota

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

All Works

20 of 20 papers shown
1.
Caicedo, Carlos, et al.. (2025). Scalable Dynamic Spectrum Access With IEEE 1900.5.2 Spectrum Consumption Models. IEEE Journal on Selected Areas in Communications. 43(11). 3830–3845.
2.
Lehr, William, et al.. (2025). Automating spectrum sharing: A bottom-up approach and research agenda. Telecommunications Policy. 49(5). 102937–102937. 1 indexed citations
3.
Caicedo, Carlos, et al.. (2025). Cooperative Dynamic Spectrum Access for Large-Scale Networks Using Directional Antennas. 1–6. 1 indexed citations
4.
Lehr, William, et al.. (2024). Automating Spectrum Sharing from the Ground Up. SSRN Electronic Journal. 1 indexed citations
5.
Kadota, Igor, Rodolfo Feick, Dmitry Chizhik, et al.. (2024). Outdoor-to-Indoor 28 GHz Wireless Measurements in Manhattan: Path Loss, Environmental Effects, and 90% Coverage. IEEE/ACM Transactions on Networking. 32(3). 2463–2478. 2 indexed citations
6.
Nagulu, Aravind, Negar Reiskarimian, Tingjun Chen, et al.. (2024). Doubling Down on Wireless Capacity: A Review of Integrated Circuits, Systems, and Networks for Full Duplex. Proceedings of the IEEE. 112(5). 405–432. 9 indexed citations
7.
8.
Kadota, Igor, et al.. (2023). Demo: Experimentation with Wideband Real-Time Adaptive Full-Duplex Radios. 1170–1172. 1 indexed citations
9.
Hossain, Sabbir, Igor Kadota, Rodolfo Feick, et al.. (2022). Outdoor-to-indoor 28 GHz wireless measurements in manhattan. 201–210. 9 indexed citations
10.
Kadota, Igor, et al.. (2022). Switching in the Rain: Predictive Wireless x-haul Network Reconfiguration. Proceedings of the ACM on Measurement and Analysis of Computing Systems. 6(3). 1–26. 5 indexed citations
11.
12.
Caicedo, Carlos, et al.. (2021). A Spectrum Consumption Model-based Framework for DSA Experimentation on the COSMOS Testbed. 77–84. 7 indexed citations
13.
Kadota, Igor, et al.. (2020). Age of information in wireless networks. DSpace@MIT (Massachusetts Institute of Technology). 1–3. 8 indexed citations
14.
Sun, Yin, Igor Kadota, Rajat Talak, & Eytan Modiano. (2020). Age of Information. 23 indexed citations
15.
Kadota, Igor, Abhishek Sinha, & Eytan Modiano. (2019). Scheduling Algorithms for Optimizing Age of Information in Wireless Networks With Throughput Constraints. IEEE/ACM Transactions on Networking. 27(4). 1359–1372. 166 indexed citations
16.
Sun, Yin, Igor Kadota, Rajat Talak, & Eytan Modiano. (2019). Age of Information: A New Metric for Information Freshness. CERN Document Server (European Organization for Nuclear Research). 12(2). 1–224. 42 indexed citations
17.
Kadota, Igor, Abhishek Sinha, & Eytan Modiano. (2018). Optimizing Age of Information in Wireless Networks with Throughput Constraints. 1844–1852. 173 indexed citations
18.
Kadota, Igor, Abhishek Sinha, Elif Uysal‐Biyikoglu, Rahul Singh, & Eytan Modiano. (2018). Scheduling Policies for Minimizing Age of Information in Broadcast Wireless Networks. IEEE/ACM Transactions on Networking. 26(6). 2637–2650. 385 indexed citations breakdown →
19.
Kadota, Igor, Elif Uysal‐Biyikoglu, Rahul Singh, & Eytan Modiano. (2016). Minimizing the Age of Information in broadcast wireless networks. 844–851. 150 indexed citations
20.
Kadota, Igor, et al.. (2013). Kalman Filtering: Estimate of the numbers of active queues in an 802.11e EDCA WLAN. Computer Communications. 39. 54–64. 8 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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