2026 Alexander Borgida: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	57	3834	3727	1818	1753	218	13235

Overview

Alexander Borgida is affiliated with Rutgers, The State University of New Jersey, in the United States. Their research primarily falls within the field of Computer Science, with a focus on several subfields including Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Management Information Systems, and Information Systems and Management.

Their work encompasses a range of topics, notably:

Advanced Software Engineering Methodologies
Service-Oriented Architecture and Web Services
Multi-Agent Systems and Negotiation
Context-Aware Activity Recognition Systems
Topic Modeling
Business Process Modeling and Analysis
Software Engineering Research

Alexander Borgida has contributed to several publications in notable venues, including:

Requirements Engineering
Software & Systems Modeling
Proceedings of the International AAAI Conference on Web and Social Media
arXiv (Cornell University)

Among their recent papers are:

"A retrospective on Telos as a metamodeling language for requirements engineering," published in 2020 in Requirements Engineering
"CaRE: a refinement calculus for requirements engineering based on argumentation theory," published in 2021 in Software & Systems Modeling
"Supporting Human Memory by Reconstructing Personal Episodic Narratives from Digital Traces," published in 2022 in Proceedings of the International AAAI Conference on Web and Social Media
"Supporting Human Memory by Reconstructing Personal Episodic Narratives from Digital Traces," published in 2020 on arXiv (Cornell University)

Frequent collaborators in Alexander Borgida's research include:

John Mylopoulos
Yehia Elrakaiby
Alessio Ferrari
Varvara Kalokyri
Amélie Marian

Best Publications

Telos: representing knowledge about information systems

John Mylopoulos;Alex Borgida;Matthias Jarke;Manolis Koubarakis

1247
Citations
CLASSIC: a structural data model for objects

Alexander Borgida;Ronald J. Brachman;Deborah L. McGuinness;Lori Alperin Resnick

930
Citations
LIVING WITH CLASSIC: When and How to Use a KL-ONE-Like Language

Ronald J. Brachman;Deborah L. McGuinness;Peter F. Patel-Schneider;Lori Alperin Resnick

610
Citations
Efficient management of transitive relationships in large data and knowledge bases

R. Agrawal;A. Borgida;H. V. Jagadish

599
Citations
On the relative expressiveness of description logics and predicate logics

Alex Borgida

580
Citations
Distributed Description Logics: Assimilating Information from Peer Sources.

Alexander Borgida;Luciano Serafini

565
Citations
Description logics in data management

A. Borgida

456
Citations
A semantics and complete algorithm for subsumption in the classic description logic

Alex Borgida;Peter F. Patel-Schneider

385
Citations
Language features for flexible handling of exceptions in information systems

Alexander Borgida

344
Citations
Conceptual Modeling: Foundations and Applications

Alexander T. Borgida;Vinay K. Chaudhri;Paolo Giorgini;Eric S. Yu

324
Citations
On formal requirements modeling languages: RML revisited

Sol Greenspan;John Mylopoulos;Alex Borgida

270
Citations
On the frame problem in procedure specifications

A. Borgida;J. Mylopoulos;R. Reiter

262
Citations
Computing least common subsumers in description logics

William W. Cohen;Alex Borgida;Haym Hirsh

239
Citations
Generalization/Specialization as a Basis for Software Specification

Alexander Borgida;Alexander Borgida;John Mylopoulos;Harry K. T. Wong;Harry K. T. Wong

239
Citations
Interactive data analysis employing a knowledge base

Alexander Tiberiu Borgida;Ronald Jay Brachman;Thomas Kirk;Peter Gilman Selfridge

210
Citations
Strategic business modeling: representation and reasoning

Jennifer Horkoff;Daniele Barone;Lei Jiang;Eric Yu

204
Citations
Explaining subsumption in description logics

Deborah L. McGuinness;Alexander T. Borgida

180
Citations
Capturing more world knowledge in the requirements specification

Sol J. Greenspan;John Mylopoulos;Alex Borgida

180
Citations
Techne: Towards a New Generation of Requirements Modeling Languages with Goals, Preferences, and Inconsistency Handling

Ivan J. Jureta;Alex Borgida;Neil A. Ernst;John Mylopoulos

175
Citations
INTEGRATED SUPPORT FOR DATA ARCHAEOLOGY

Ronald J. Brachman;Peter G. Selfridge;Loren G. Terveen;Boris Altman

162
Citations
Conceptual Modeling: Foundations and Applications: Essays in Honor of John Mylopoulos

Alexander T. Borgida;Vinay K. Chaudhri;Paolo Giorgini;Eric S. Yu

53
Citations
Conceptual Modeling of Information Systems

Alexander Borgida

8
Citations

Frequent Co-Authors

John Mylopoulos University of Ottawa

Deborah L. McGuinness Rensselaer Polytechnic Institute

Peter F. Patel-Schneider Palo Alto Research Center

Luciano Serafini Fondazione Bruno Kessler

Matthias Jarke RWTH Aachen University

Lin Liu Chinese Academy of Sciences

Loren Terveen University of Minnesota

Eric Yu University of Toronto

Giancarlo Guizzardi University of Twente

Ralf Küsters University of Stuttgart

External Links

Personal website of Alexander Borgida Google Scholar page

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

Pursuing Computer Science in the USA opens doors to a wide range of online degrees, tailored to different stages of your educational journey. For those seeking flexibility and value, there are cheap masters programs available online that blend high-quality education with affordability, making a graduate degree more accessible than ever.

If you are aiming for leadership roles or academic research, consider advancing with an online phd leadership program. These options prepare graduates for senior management and academic opportunities while allowing for remote study.

Entry-level learners can start their journey with easy online associate degrees in technology or related fields, making it simple to gain foundational skills and credentials quickly. For educators and aspiring academic leaders, cheap online edd programs offer an affordable route to advanced positions in education.

Each of these online degree pathways aligns with diverse career goals and schedules, helping you advance in Computer Science or related fields while keeping costs manageable.