Robert Green

5.3k total citations · 3 hit papers
144 papers, 3.8k citations indexed

About

Robert Green is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Robert Green has authored 144 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Electrical and Electronic Engineering, 28 papers in Computer Networks and Communications and 18 papers in Information Systems. Recurrent topics in Robert Green's work include Power System Reliability and Maintenance (13 papers), Optimal Power Flow Distribution (9 papers) and Cloud Computing and Resource Management (9 papers). Robert Green is often cited by papers focused on Power System Reliability and Maintenance (13 papers), Optimal Power Flow Distribution (9 papers) and Cloud Computing and Resource Management (9 papers). Robert Green collaborates with scholars based in United States, Canada and Austria. Robert Green's co-authors include Mansoor Alam, Lingfeng Wang, Soma Shekara Sreenadh Reddy Depuru, Vijay Devabhaktuni, Weiqing Sun, Yichi Zhang, Craig D. Near, Douglas Nims, Chanan Singh and Thomas F. Pettigrew and has published in prestigious journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and Renewable and Sustainable Energy Reviews.

In The Last Decade

Robert Green

132 papers receiving 3.6k citations

Hit Papers

The impact of plug-in hybrid electric vehicles on distrib... 2010 2026 2015 2020 2010 2014 2012 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert Green United States 27 1.4k 641 586 525 408 144 3.8k
Ming Yang China 40 3.2k 2.4× 375 0.6× 1.3k 2.2× 138 0.3× 1.0k 2.5× 366 6.4k
Jin Ye China 39 2.3k 1.7× 655 1.0× 1.7k 2.9× 521 1.0× 296 0.7× 223 5.7k
Richard E. Brown United States 44 2.8k 2.1× 192 0.3× 1.3k 2.2× 379 0.7× 102 0.3× 212 6.4k
S. N. Deepa India 20 1.0k 0.7× 122 0.2× 597 1.0× 285 0.5× 1.1k 2.8× 132 4.1k
Lars Nordström Sweden 31 1.7k 1.3× 175 0.3× 1.3k 2.2× 329 0.6× 160 0.4× 238 3.5k
Michael Lees Netherlands 23 349 0.3× 326 0.5× 219 0.4× 260 0.5× 410 1.0× 153 3.0k
Shuhui Li China 46 5.6k 4.1× 1.0k 1.6× 3.6k 6.1× 350 0.7× 605 1.5× 386 8.8k
Martin Braun Germany 41 4.5k 3.3× 378 0.6× 3.3k 5.6× 234 0.4× 436 1.1× 279 6.4k
Chen Lü China 47 2.5k 1.9× 915 1.4× 2.9k 4.9× 354 0.7× 1.0k 2.5× 440 8.3k
Melvin Alexander United States 18 476 0.3× 121 0.2× 314 0.5× 160 0.3× 279 0.7× 31 5.0k

Countries citing papers authored by Robert Green

Since Specialization
Citations

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

Fields of papers citing papers by Robert Green

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Green

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Green. A scholar is included among the top collaborators of Robert Green 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 Robert Green. Robert Green 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.
Green, Robert, et al.. (2025). Feasibility of improving vocal fold pathology image classification with synthetic images generated by DDPM-based GenAI: a pilot study. European Archives of Oto-Rhino-Laryngology. 282(8). 4139–4153.
2.
Mahowald, N. M., Marı́a Gonçalves Ageitos, Ziming Ke, et al.. (2025). Modeling Large Dust Aerosols in the Community Earth System Model Version 2 (CESM2). California Digital Library.
3.
Green, Robert, et al.. (2024). Leveraging survival analysis in cost-aware deepnet for efficient hard drive failure prediction. Neural Computing and Applications. 37(2). 1089–1104. 3 indexed citations
4.
Stepkowski, Stanislaw M., et al.. (2024). Maximizing matching, equity and survival in kidney transplantation using molecular HLA immunogenicity quantitation. Computers in Biology and Medicine. 174. 108452–108452. 2 indexed citations
5.
Green, Robert, et al.. (2023). Cost aware LSTM model for predicting hard disk drive failures based on extremely imbalanced S.M.A.R.T. sensors data. Engineering Applications of Artificial Intelligence. 127. 107339–107339. 8 indexed citations
6.
Green, Robert, et al.. (2023). A review on data-driven SOC estimation with Li-Ion batteries: Implementation methods & future aspirations. Journal of Energy Storage. 72. 108420–108420. 44 indexed citations
7.
Green, Robert, et al.. (2022). Predicting severely imbalanced data disk drive failures with machine learning models. SHILAP Revista de lepidopterología. 9. 100361–100361. 9 indexed citations
8.
Khuder, Sadik, et al.. (2022). Improving Access to HLA-Matched Kidney Transplants for African American Patients. Frontiers in Immunology. 13. 832488–832488. 8 indexed citations
9.
Asbridge, Mark, et al.. (2019). Where to start? Injury prevention priority scores in Canadian children. Journal of Pediatric Surgery. 54(5). 968–974. 9 indexed citations
10.
Sullivan, Peter, Michael Bernas, Elliott Liggett, Michael L. Eastwood, & Robert Green. (2017). Characterization of the Teledyne CHROMA HgCdTe detector for imaging spectrometers. 1–7. 6 indexed citations
11.
Green, Robert, et al.. (2015). Promoting the inclusion of migrant children in a UK school. Educational and Child Psychology. 32(2). 102–114. 2 indexed citations
12.
Green, Robert, et al.. (2014). Diagnostic Clinical Genome and Exome Sequencing. New England Journal of Medicine. 370(25). 2418–2425. 393 indexed citations breakdown →
14.
Green, Robert, et al.. (2014). OIMPACTS OF MULTI-CLASS OVERSUBSCRIPTION ON REVENUES AND PERFORMANCE IN THE CLOUD. 2(1). 15–30. 4 indexed citations
15.
Green, Robert, et al.. (2014). On Cloud-based Oversubscription. International Journal of Engineering Trends and Technology. 8(8). 425–431. 28 indexed citations
16.
Findlay, Mark, et al.. (2003). SOF on the Contemporary Battlefield. Military review. 83(3). 8. 2 indexed citations
17.
Green, Robert. (2002). Conventionally‐armed UK trident?. The RUSI Journal. 147(1). 31–34. 1 indexed citations
18.
Sinclair, Douglas & Robert Green. (1998). Emergency Department Observation Unit: Can It Be Funded Through Reduced Inpatient Admission?. Annals of Emergency Medicine. 32(6). 670–675. 15 indexed citations
19.
Mirro, R., David W. Busija, Robert Green, & Charles W. Leffler. (1987). Relationship between mean airway pressure, cardiac output, and organ blood flow with normal and decreased respiratory compliance. The Journal of Pediatrics. 111(1). 101–106. 61 indexed citations
20.
Bolooki, Hooshang, Abelardo Vargas, Robert Green, Gerard A. Kaiser, & Ali Ghahramani. (1975). Results of direct coronary artery surgery in women. Journal of Thoracic and Cardiovascular Surgery. 69(2). 271–277. 87 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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