B. Chandrasekaran

6.9k citations
124 papers · 3.9k indexed · 1 hit paper · h-index 27

Impact in

Papers in

    • AI-based Problem Solving and Planning 35
    • Semantic Web and Ontologies 26
    • Constraint Satisfaction and Optimization 14
    • Software-Defined Networks and 5G 10
    • Caching and Content Delivery 10
    • Network Security and Intrusion Detection 9
    • Network Traffic and Congestion Control 6

B. Chandrasekaran

121 papers receiving 3.5k citations

Hit Papers

What are ontologies, and why do we need them? 1999 · 970 citations
9701999202620082017250500750

Peers

B. Chandrasekaran
Comparison fields: 5 of 130
  • Artificial Intelligence 2.3k
  • Computer Networks and Communications 1.1k
  • Industrial and Manufacturing Engineering 477
  • Software 179
  • Management of Technology and Innovation 286
Replace Michael Genesereth with:
Michael Genesereth United States
Mark Klein United States
Edmund H. Durfee United States
Franco Zambonelli Italy
Richard Fikes United States
G. Flucke United Kingdom
Johan de Kleer United States
Douglas B. Lenat United States
Fabio Bellifemine Italy
Gerhard Weiß Netherlands
B. Chandrasekaran relative to Michael Genesereth United States Michael Genesereth's profile →
Citations per field
00.5×5.9×
Michael Genesereth · 1×
Citations per year

Countries citing papers authored by B. Chandrasekaran

Since Specialization
Citations

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

Fields of papers citing papers by B. Chandrasekaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside B. Chandrasekaran, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with B. Chandrasekaran Line = papers co-authored together B. Chandrasekaran links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
A Deeper Look at Web Content Availability and Consistency over HTTP/S.
20202
2
A longitudinal, end-to-end view of the DNSSEC ecosystem
201743
3
An End-to-End View of DNSSEC Ecosystem Management
20172
4
Multirepresentational architectures for human-level intelligence : papers from the AAAI Fall Symposium
20091
5
A Bimodal Cognitive Architecture: Explorations in Architectural Explanation of Spatial Reasoning.
20071
6
Multi-modal Cognitive Architectures: A Partial Solution to the Frame Problem
20065
7
A Diagrammatic Reasoning Architecture: Design, Implementation and Experiments
20055
8 199314
9
Task-specific architectures for flexible systems
19932
10
A COMPUTER MODEL OF DIAGRAMMATIC REASONING
19923
11
Functional representation of designs and redesign problem solving
198969
12
Explanation: the role of control strategies and deep models
198713
13
Fuzzy knowledge in rule-based systems
19873
14
Knowledge-based decision support systems for military procurement
19873
15
Design of an artificial intelligence system for safety function maintenance
19852
16
Generic Tasks in Knowledge-Based Reasoning: Characterizing and Designing Expert Systems at the 'Right' Level of Abstraction.
198523
17
Understanding behavior using consolidation
198541
18
MDX and related medical decision-making systems
19811
19
Overview of MDX-A System for Medical Diagnosis.
197918
20
An approach to medical diagnosis based on conceptual structures
197945

About B. Chandrasekaran

B. Chandrasekaran is a scholar working on Artificial Intelligence, Computer Networks and Communications, Software, Management Science and Operations Research and Computer Vision and Pattern Recognition, having authored 124 papers that have together received 3.9k indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (35 papers), Semantic Web and Ontologies (26 papers), Constraint Satisfaction and Optimization (14 papers), Software-Defined Networks and 5G (10 papers), Caching and Content Delivery (10 papers), Network Security and Intrusion Detection (9 papers), Biomedical Text Mining and Ontologies (7 papers) and Network Traffic and Congestion Control (6 papers). The work is most often cited by research in Artificial Intelligence (2.3k citations), Computer Networks and Communications (1.1k citations), Industrial and Manufacturing Engineering (477 citations), Software (179 citations) and Management of Technology and Innovation (286 citations). B. Chandrasekaran has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include John R. Josephson, V. Richard Benjamins, Jack W. Smith, Ashok K. Goel, Bruce M. Maggs, Yumi Iwasaki, Theophilus Benson, Todd R. Johnson, Jonathan Turner and George Varghese. Their work appears in journals such as AI Magazine, IEEE Transactions on Information Theory, Artificial intelligence for engineering design analysis and manufacturing, Communications of the ACM and Applied Artificial Intelligence.

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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