Brian Subirana

974 total citations · 1 hit paper
32 papers, 459 citations indexed

About

Brian Subirana is a scholar working on Artificial Intelligence, Strategy and Management and Information Systems. According to data from OpenAlex, Brian Subirana has authored 32 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Strategy and Management and 5 papers in Information Systems. Recurrent topics in Brian Subirana's work include Multi-Agent Systems and Negotiation (4 papers), Sharing Economy and Platforms (3 papers) and Information Technology Governance and Strategy (3 papers). Brian Subirana is often cited by papers focused on Multi-Agent Systems and Negotiation (4 papers), Sharing Economy and Platforms (3 papers) and Information Technology Governance and Strategy (3 papers). Brian Subirana collaborates with scholars based in United States, Spain and Australia. Brian Subirana's co-authors include Jordi Laguarta, Sanjay E. Sarma, George Herman, Michael Barrett, Aikaterini Bagiati, Joan Enric Ricart i Costa, Adam P. Vogel, Amy Brodtmann, Brian Tracey and Marco Vilela and has published in prestigious journals such as Communications of the ACM, IEEE Access and Journal of the Association for Information Systems.

In The Last Decade

Brian Subirana

27 papers receiving 436 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.

COVID-19 Artificial Intelligence Diagnosis Using Only Cough Recordings

2020 336 citations Jordi Laguarta, Brian Subirana et al. IEEE Open Journal of Engineering in Medicine and Biology profile →

Peers

Brian Subirana

RNMI

PRM

AI

SP

PHYSI

Rohit Kumar India

Som Biswas United States

Vibhakar Mansotra India

David V. Beard United States

Victor Chukwudi Osamor Nigeria

Ali Behmanesh Iran

Serkan Savaş Türkiye

Pekka Ruotsalainen Finland

Riad Alharbey Saudi Arabia

Saleh Naif Almuayqil Saudi Arabia

Rohit Kumar India

Brian Subirana

142 ×0.7

RNMI

118 ×0.7

PRM

209 ×2.0

AI

94 ×1.0

SP

16 ×0.3

PHYSI

Citations per year, relative to Brian Subirana Brian Subirana (= 1×) peers Rohit Kumar

Countries citing papers authored by Brian Subirana

Since Specialization

Citations

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

Fields of papers citing papers by Brian Subirana

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Subirana

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

Vilela, Marco, Brian Harel, Arthur A. Simen, et al.. (2024). Exploring Emotion and Emotional Variability as DigitalBiomarkers in Frontotemporal Dementia Speech. IEEE Access. 12. 71419–71432. 1 indexed citations

2.

Subirana, Brian, et al.. (2023). Metal Particle Detection Methods and Their Use for Freeze-Dried Vaccine Inspection: A Review. IEEE Sensors Journal. 24(1). 40–62. 2 indexed citations

3.

Laguarta, Jordi, et al.. (2020). COVID-19 Artificial Intelligence Diagnosis Using Only Cough Recordings. IEEE Open Journal of Engineering in Medicine and Biology. 1. 275–281. 336 indexed citations breakdown →

4.

Subirana, Brian & Sanjay E. Sarma. (2017). Burger King y Google: Publicidad interactiva e inteligencia artificial en el contexto del comercio conversacional: el anuncio en TV de Whopper y la respuesta de Google Home. 26–32. 1 indexed citations

5.

Subirana, Brian, et al.. (2017). Theory of Intelligence with Forgetting: Mathematical Theorems Explaining Human Universal Forgetting using “Forgetting Neural Networks”. DSpace@MIT (Massachusetts Institute of Technology). 3 indexed citations

6.

Subirana, Brian, et al.. (2017). Can small smart swappable battery EVs outperform gas powertrain economics?. 23. 1–6. 1 indexed citations

7.

Subirana, Brian, et al.. (2017). Randomness in transportation utility models: The triangular distribution may be a better choice than the normal and Gumbel. 166. 1–6. 1 indexed citations

8.

Subirana, Brian, et al.. (2014). Legal Programming: Designing Legally Compliant RFID and Software Agent Architectures for Retail Processes and Beyond. TU Digital Collections (Thammasat University). 1 indexed citations

9.

Subirana, Brian, et al.. (2007). Supporting SME e‐commerce migration through blended e‐learning. Journal of Small Business and Enterprise Development. 14(4). 670–688. 8 indexed citations

10.

Subirana, Brian. (2004). Legal Programming: Designing Legally Compliant RFID and Software Agent Architectures for Retail Processes and Beyond (Integrated Series in Information Systems). 3 indexed citations

11.

Subirana, Brian. (2004). Steelscreen.com: Why it is not Everywhere in B2B and the Role of the CEO in ‘it’. Journal of the Association for Information Systems. 19(2). 149–158. 1 indexed citations

12.

Subirana, Brian, et al.. (2004). Legal programming. 6 indexed citations

13.

Subirana, Brian. (2003). IT/Automation Cost Reduction in Intel's Manufacturing Environment. SSRN Electronic Journal.

14.

Subirana, Brian, et al.. (2003). E-commerce oriented software agents. Computer Law & Security Report. 19(3). 201–211. 9 indexed citations

15.

Subirana, Brian, et al.. (2003). Measuring the Impact of Information Technology on Value and Productivity using a Process-Based Approach: The case for RFID Technologies. SSRN Electronic Journal. 22 indexed citations

16.

Subirana, Brian, et al.. (2003). Legalising autonomous shopping agent processes. Computer Law & Security Report. 19(5). 375–387. 4 indexed citations

17.

Subirana, Brian, et al.. (2003). E-commerce oriented software agents. Computer Law & Security Report. 19(4). 282–288. 2 indexed citations

18.

Subirana, Brian. (2000). Zero Entry Barriers in a Computationally Complex World. Journal of Organizational and End User Computing. 12(2). 43–55. 7 indexed citations

19.

Subirana, Brian, et al.. (1999). Mercados electrónicos en Internet: un modelo evolutivo basado en flujos de transacciones. Harvard-Deusto business review. 84–93. 1 indexed citations

20.

Subirana, Brian. (1991). Perceptual Organization, Giure Ground, Attention And Saliency. 1 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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