Kwang Mong Sim

4.1k total citations
110 papers, 2.7k citations indexed

About

Kwang Mong Sim is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Networks and Communications. According to data from OpenAlex, Kwang Mong Sim has authored 110 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Artificial Intelligence, 44 papers in Management Science and Operations Research and 38 papers in Computer Networks and Communications. Recurrent topics in Kwang Mong Sim's work include Multi-Agent Systems and Negotiation (49 papers), Auction Theory and Applications (42 papers) and Cloud Computing and Resource Management (26 papers). Kwang Mong Sim is often cited by papers focused on Multi-Agent Systems and Negotiation (49 papers), Auction Theory and Applications (42 papers) and Cloud Computing and Resource Management (26 papers). Kwang Mong Sim collaborates with scholars based in Hong Kong, South Korea and United Kingdom. Kwang Mong Sim's co-authors include J. Octavio Gutiérrez-García, Jaeyong Kang, Seokho Son, Benyun Shi, Chi-Kin Chau, Bo An, Jeonghwan Gwak, Defu Zhang, Stephen C.H. Leung and Victor Lesser and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and Information Sciences.

In The Last Decade

Kwang Mong Sim

109 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kwang Mong Sim Hong Kong 29 1.3k 1.2k 916 637 214 110 2.7k
Rajarshi Das United States 23 1.1k 0.8× 981 0.8× 1.3k 1.4× 355 0.6× 267 1.2× 67 2.9k
Matthias Klusch Germany 26 969 0.7× 1.7k 1.5× 1.7k 1.9× 371 0.6× 141 0.7× 148 3.0k
Boi Faltings Switzerland 27 1.2k 0.9× 507 0.4× 1.6k 1.7× 467 0.7× 81 0.4× 143 2.9k
Daniel Grosu United States 30 2.0k 1.5× 1.8k 1.6× 329 0.4× 648 1.0× 281 1.3× 121 2.8k
Ishai Menache United States 25 2.0k 1.5× 1.3k 1.1× 556 0.6× 290 0.5× 587 2.7× 72 2.8k
Boi Faltings Switzerland 28 927 0.7× 1.0k 0.9× 1.1k 1.2× 590 0.9× 60 0.3× 164 2.4k
Kamesh Munagala United States 27 1.7k 1.3× 372 0.3× 531 0.6× 499 0.8× 315 1.5× 98 2.6k
Jaydip Sen India 15 1.1k 0.9× 443 0.4× 316 0.3× 234 0.4× 471 2.2× 83 2.0k
Qianmu Li China 27 919 0.7× 902 0.8× 1.0k 1.1× 161 0.3× 299 1.4× 222 2.5k
Berthold Vöcking Germany 26 1.4k 1.1× 307 0.3× 532 0.6× 1.4k 2.2× 450 2.1× 91 3.1k

Countries citing papers authored by Kwang Mong Sim

Since Specialization
Citations

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

Fields of papers citing papers by Kwang Mong Sim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kwang Mong Sim. 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 Kwang Mong Sim. The network helps show where Kwang Mong Sim may publish in the future.

Co-authorship network of co-authors of Kwang Mong Sim

This figure shows the co-authorship network connecting the top 25 collaborators of Kwang Mong Sim. A scholar is included among the top collaborators of Kwang Mong Sim 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 Kwang Mong Sim. Kwang Mong Sim 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.
Sim, Kwang Mong. (2024). A Strongly Group Strategyproof and Shill Resistant Bargaining Mechanism for Fog Resource Pricing. Dynamic Games and Applications. 14(5). 1238–1267.
2.
Sim, Kwang Mong. (2023). An Incentive-Compatible and Computationally Efficient Fog Bargaining Mechanism. Computational Economics. 62(4). 1883–1918. 2 indexed citations
3.
Sim, Kwang Mong. (2018). Agent-Based Fog Computing: Gossiping, Reasoning, and Bargaining. 1(2). 21–24. 8 indexed citations
4.
Gwak, Jeonghwan & Kwang Mong Sim. (2011). Bayesian Learning based Negotiation Agents for Supporting Negotiation with Incomplete Information. Lecture notes in computer science. 2188(1). 163–168. 13 indexed citations
5.
Son, Seokho & Kwang Mong Sim. (2011). A Price- and-Time-Slot-Negotiation Mechanism for Cloud Service Reservations. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 42(3). 713–728. 89 indexed citations
6.
Gutiérrez-García, J. Octavio & Kwang Mong Sim. (2011). A Family of Heuristics for Agent-Based Cloud Bag-of-Tasks Scheduling. 59. 416–423. 9 indexed citations
7.
Gwak, Jeonghwan & Kwang Mong Sim. (2010). Co-evolving Best Response Strategies for P-S-Optimizing Negotiation using Evolutionary Algorithms. Lecture notes in computer science. 2180(1). 13–18. 2 indexed citations
8.
Gwak, Jeonghwan, Kwang Mong Sim, & Minjie Zhang. (2010). Finding near-optimal strategies for negotiation with incomplete information using a diversity controlling EDA. 1–7. 3 indexed citations
9.
Sim, Kwang Mong & Benyun Shi. (2009). Concurrent Negotiation and Coordination for Grid Resource Coallocation. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 40(3). 753–766. 44 indexed citations
10.
Sim, Kwang Mong, Yuanyuan Guo, & Benyun Shi. (2008). BLGAN: Bayesian Learning and Genetic Algorithm for Supporting Negotiation With Incomplete Information. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 39(1). 198–211. 43 indexed citations
11.
An, Bo, Victor Lesser, & Kwang Mong Sim. (2008). Decommitment in multi-resource negotiation. Adaptive Agents and Multi-Agents Systems. 1553–1556. 12 indexed citations
12.
Sim, Kwang Mong. (2008). Evolving Fuzzy Rules for Relaxed-Criteria Negotiation. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 38(6). 1486–1500. 20 indexed citations
13.
Sim, Kwang Mong. (2006). Preface to the special issue on learning approaches for negotiation agents and automated negotiation: Introduction. International Journal of Intelligent Systems. 21(1). 1–3. 4 indexed citations
14.
An, Bo, et al.. (2006). Continuous-Time Negotiation Mechanism for Software Agents. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 36(6). 1261–1272. 32 indexed citations
15.
Sim, Kwang Mong. (2006). Grid Commerce, Market-Driven G-Negotiation, and Grid Resource Management. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 36(6). 1381–1394. 50 indexed citations
16.
Sim, Kwang Mong. (2005). Equilibria, Prudent Compromises, and the “Waiting” Game. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 35(4). 712–724. 57 indexed citations
17.
Sim, Kwang Mong & Yujie Wang. (2005). Evolutionary Asymmetric Games for Modeling Systems of Partially Cooperative Agents. IEEE Transactions on Evolutionary Computation. 9(6). 603–614. 5 indexed citations
18.
Sim, Kwang Mong. (2004). Negotiation Agents that Make Prudent Compromises and are Slightly Flexible in Reaching Consensus. Computational Intelligence. 20(4). 643–662. 27 indexed citations
19.
Sim, Kwang Mong, et al.. (2003). Agents that react to changing market situations. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 33(2). 188–201. 78 indexed citations
20.
Sim, Kwang Mong, et al.. (2003). Simulation of a multi-agent protocol for task allocation in cooperative design. 3. 95–100. 3 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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