K. Suzanne Barber

1.1k total citations
70 papers, 443 citations indexed

About

K. Suzanne Barber is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, K. Suzanne Barber has authored 70 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Artificial Intelligence, 16 papers in Information Systems and 16 papers in Management Science and Operations Research. Recurrent topics in K. Suzanne Barber's work include Multi-Agent Systems and Negotiation (29 papers), Logic, Reasoning, and Knowledge (22 papers) and Advanced Software Engineering Methodologies (12 papers). K. Suzanne Barber is often cited by papers focused on Multi-Agent Systems and Negotiation (29 papers), Logic, Reasoning, and Knowledge (22 papers) and Advanced Software Engineering Methodologies (12 papers). K. Suzanne Barber collaborates with scholars based in United States, Netherlands and Germany. K. Suzanne Barber's co-authors include Cheryl Martin, Anuj Kumar Goel, Karen K. Fullam, Jim Holt, Tibor Bosse, C. L. Jones, J. Kim, David Han, Xin Sui and S. Ramaswamy and has published in prestigious journals such as IEEE Transactions on Robotics and Automation, IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) and IEEE Software.

In The Last Decade

K. Suzanne Barber

64 papers receiving 404 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. Suzanne Barber United States 10 220 122 84 82 61 70 443
Divine T. Ndumu United Kingdom 11 374 1.7× 49 0.4× 242 2.9× 145 1.8× 53 0.9× 19 579
Mark Blackburn United States 15 119 0.5× 156 1.3× 65 0.8× 152 1.9× 66 1.1× 84 675
Brian Schott United States 11 129 0.6× 92 0.8× 90 1.1× 28 0.3× 90 1.5× 41 424
Don Libes United States 12 89 0.4× 85 0.7× 100 1.2× 87 1.1× 17 0.3× 36 347
Lavindra de Silva United Kingdom 12 235 1.1× 131 1.1× 42 0.5× 24 0.3× 24 0.4× 36 440
Justyna Zander United States 13 75 0.3× 149 1.2× 107 1.3× 66 0.8× 88 1.4× 34 545
Julita Bermejo–Alonso Spain 11 141 0.6× 84 0.7× 32 0.4× 60 0.7× 39 0.6× 27 374
Mohamed Hedi Karray France 11 151 0.7× 83 0.7× 25 0.3× 68 0.8× 56 0.9× 36 326
Markus Pischel Germany 8 167 0.8× 111 0.9× 88 1.0× 29 0.4× 62 1.0× 14 340
Suzanne Pinson France 10 141 0.6× 31 0.3× 74 0.9× 33 0.4× 93 1.5× 33 353

Countries citing papers authored by K. Suzanne Barber

Since Specialization
Citations

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

Fields of papers citing papers by K. Suzanne Barber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. Suzanne Barber. 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 K. Suzanne Barber. The network helps show where K. Suzanne Barber may publish in the future.

Co-authorship network of co-authors of K. Suzanne Barber

This figure shows the co-authorship network connecting the top 25 collaborators of K. Suzanne Barber. A scholar is included among the top collaborators of K. Suzanne Barber 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 K. Suzanne Barber. K. Suzanne Barber 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.
Sui, Xin, et al.. (2008). Identifying beneficial teammates using multi-dimensional trust. Adaptive Agents and Multi-Agents Systems. 1469–1472. 5 indexed citations
2.
Martin, Cheryl & K. Suzanne Barber. (2006). Adaptive decision-making frameworks for dynamic multi-agent organizational change. Autonomous Agents and Multi-Agent Systems. 13(3). 391–428. 17 indexed citations
3.
Barber, K. Suzanne & David Han. (2005). Multi-Agent Planning under Dynamic Adaptive Autonomy. 1. 399–404. 1 indexed citations
4.
Fullam, Karen K. & K. Suzanne Barber. (2004). Using Policies for Information Valuation to Justify Beliefs. Adaptive Agents and Multi-Agents Systems. 404–411. 6 indexed citations
5.
Barber, K. Suzanne, et al.. (2004). Finding partners to form information sharing networks in open multi-agent systems. The Florida AI Research Society. 412–417. 1 indexed citations
6.
Barber, K. Suzanne, et al.. (2004). Agent Technology Portfolio Manager.. Software Engineering and Knowledge Engineering. 10(1). 37–44. 1 indexed citations
7.
Barber, K. Suzanne, et al.. (2004). Verifying and Explaining Agent Behavior in an Implemented Agent System. Adaptive Agents and Multi-Agents Systems. 1226–1227. 1 indexed citations
8.
Barber, K. Suzanne, et al.. (2003). Specifying and Analyzing Agent Architectures using the Agent Competency Framework.. Software Engineering and Knowledge Engineering. 46(11). 232–239. 4 indexed citations
9.
Barber, K. Suzanne, et al.. (2003). Infrastructure for Design, Deployment and Experimentation of Distributed Agent-based Systems: The Requirements, The Technologies, and An Example. Autonomous Agents and Multi-Agent Systems. 7(1-2). 49–69. 4 indexed citations
10.
Barber, K. Suzanne, et al.. (2002). Architecting agents using core competencies. 90–91. 3 indexed citations
11.
Barber, K. Suzanne, et al.. (2002). OARS: an object-oriented architecture for reactive systems. 1. 1093–1098. 3 indexed citations
12.
Barber, K. Suzanne, et al.. (2001). Evaluating Dynamic Correctness Properties of Domain Reference Architectures Using a Combination of Simulation and Model Checking.. Software Engineering and Knowledge Engineering. 19–28. 4 indexed citations
13.
Barber, K. Suzanne, et al.. (2001). Adaptive decision-making frameworks for multi-agent systems. Texas ScholarWorks (Texas Digital Library). 2 indexed citations
14.
Barber, K. Suzanne, et al.. (2001). Conflict detection during plan integration for multi-agent systems. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 31(4). 616–628. 22 indexed citations
15.
Barber, K. Suzanne & Cheryl Martin. (2001). DYNAMIC ADAPTIVE AUTONOMY IN MULTIAGENT SYSTEMS: REPRESENTATION AND JUSTIFICATION. International Journal of Pattern Recognition and Artificial Intelligence. 15(3). 405–433. 8 indexed citations
16.
Barber, K. Suzanne, et al.. (1999). Group Membership Services for Dynamically Organized Sensible Agent-Based Systems. The Florida AI Research Society. 160–165. 1 indexed citations
17.
Barber, K. Suzanne, et al.. (1999). Increasing Opportunities for Reuse Through Tool and Methodology Support for Enterprise-Wide Requirements Reuse and Evolution.. International Conference on Enterprise Information Systems. 383–390. 3 indexed citations
18.
Barber, K. Suzanne, et al.. (1999). Simulation testbed for sensible agent-based systems in dynamic and uncertain environments. 16(4). 186–203. 2 indexed citations
19.
Barber, K. Suzanne, et al.. (1998). Selection of conflict resolution strategies in dynamically organized sensible agent-based systems. National Conference on Artificial Intelligence. 1193. 2 indexed citations
20.
Barber, K. Suzanne, et al.. (1998). Goal and responsibility allocation in sensible agent-based systems. National Conference on Artificial Intelligence. 1195. 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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