Ho-Pun Lam

526 total citations
13 papers, 139 citations indexed

About

Ho-Pun Lam is a scholar working on Artificial Intelligence, Management Information Systems and Information Systems. According to data from OpenAlex, Ho-Pun Lam has authored 13 papers receiving a total of 139 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 5 papers in Management Information Systems and 4 papers in Information Systems. Recurrent topics in Ho-Pun Lam's work include Multi-Agent Systems and Negotiation (6 papers), Logic, Reasoning, and Knowledge (5 papers) and Business Process Modeling and Analysis (5 papers). Ho-Pun Lam is often cited by papers focused on Multi-Agent Systems and Negotiation (6 papers), Logic, Reasoning, and Knowledge (5 papers) and Business Process Modeling and Analysis (5 papers). Ho-Pun Lam collaborates with scholars based in Australia, Italy and Spain. Ho-Pun Lam's co-authors include Guido Governatori, Mustafa Hashmi, S.Y.W. Su, Sumi Helal, Jie Meng, Moe Thandar Wynn, Jadwiga Indulska, Ricky Robinson, Sajib Mistry and Renato Iannella and has published in prestigious journals such as SHILAP Revista de lepidopterología, Knowledge and Information Systems and Journal of Logic and Computation.

In The Last Decade

Ho-Pun Lam

11 papers receiving 124 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ho-Pun Lam Australia	5	90	85	67	18	8	13	139
Ruopeng Lu Australia	4	139 1.5×	118 1.4×	62 0.9×	19 1.1×	11 1.4×	4	160
David Knuplesch Germany	7	105 1.2×	85 1.0×	39 0.6×	19 1.1×	7 0.9×	19	127
Aaron G. Cass United States	7	66 0.7×	108 1.3×	55 0.8×	27 1.5×	5 0.6×	13	170
Daniel Eduardo Riesco Argentina	7	82 0.9×	158 1.9×	106 1.6×	32 1.8×	10 1.3×	90	232
Faruk Hasić Belgium	10	141 1.6×	74 0.9×	38 0.6×	42 2.3×	16 2.0×	18	179
Fabrizio Fornari Italy	7	116 1.3×	91 1.1×	40 0.6×	27 1.5×	9 1.1×	18	161
Tijs Slaats Denmark	10	144 1.6×	118 1.4×	68 1.0×	38 2.1×	12 1.5×	35	225
James McGovern	4	79 0.9×	113 1.3×	53 0.8×	53 2.9×	9 1.1×	7	175
Tammo van Lessen Germany	9	138 1.5×	160 1.9×	90 1.3×	36 2.0×	13 1.6×	17	195
Mark H. Linehan United States	4	99 1.1×	85 1.0×	51 0.8×	24 1.3×	8 1.0×	7	126

Countries citing papers authored by Ho-Pun Lam

Since Specialization

Citations

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

Fields of papers citing papers by Ho-Pun Lam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ho-Pun Lam. 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 Ho-Pun Lam. The network helps show where Ho-Pun Lam may publish in the future.

Co-authorship network of co-authors of Ho-Pun Lam

This figure shows the co-authorship network connecting the top 25 collaborators of Ho-Pun Lam. A scholar is included among the top collaborators of Ho-Pun Lam 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 Ho-Pun Lam. Ho-Pun Lam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

1.

Lam, Ho-Pun & Mustafa Hashmi. (2022). A Comparative Study of Compliance Management Frameworks: PENELOPE vs. PCL. SHILAP Revista de lepidopterología. 2(4). 618–651.

2.

Ferraro, Gabriela & Ho-Pun Lam. (2021). NLP Techniques for Normative Mining.. 8. 941–974. 1 indexed citations

3.

Lam, Ho-Pun, et al.. (2020). Towards Construction of Legal Ontology for Korean Legislation. Figshare. 86–97. 2 indexed citations

4.

Lam, Ho-Pun, et al.. (2019). Service Research and Innovation. Lecture notes in business information processing. 4 indexed citations

5.

Hashmi, Mustafa, Guido Governatori, Ho-Pun Lam, & Moe Thandar Wynn. (2018). Are we done with business process compliance: state of the art and challenges ahead. Knowledge and Information Systems. 57(1). 79–133. 48 indexed citations

6.

Lam, Ho-Pun & Mustafa Hashmi. (2018). Enabling reasoning with LegalRuleML. Theory and Practice of Logic Programming. 19(1). 1–26. 5 indexed citations

7.

Baroni, Pietro, Guido Governatori, Ho-Pun Lam, & Régis Riveret. (2016). On the justification of statements in argumentation-based reasoning. Institutional Research Information System (Università degli Studi di Brescia). 521–524. 4 indexed citations

8.

Lam, Ho-Pun & Guido Governatori. (2012). Towards a model of UAVs navigation in urban canyon through defeasible logic. Journal of Logic and Computation. 23(2). 373–395. 8 indexed citations

9.

Lam, Ho-Pun, et al.. (2012). Defeasible preferences for intelligible pervasive applications to enhance eldercare. 4278. 572–577. 6 indexed citations

10.

Lam, Ho-Pun. (2012). On the Derivability of Defeasible Logic. Queensland's institutional digital repository (The University of Queensland).

11.

Lam, Ho-Pun, Subhasis Thakur, Guido Governatori, & Abdul Sattar. (2009). A model to Coordinate UAVs in urban environment using defeasible logic. 549. 1–8. 3 indexed citations

12.

Steel, Jim, Renato Iannella, & Ho-Pun Lam. (2008). Using Ontologies for Decision Support in Resource Messaging. International Conference on Information Systems for Crisis Response and Management. 276–284. 2 indexed citations

13.

Meng, Jie, S.Y.W. Su, Ho-Pun Lam, & Sumi Helal. (2003). Achieving dynamic inter-organizational workflow management by integrating business processes, events and rules. 15. 10–10. 56 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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