Ho-Pun Lam

526 citations
13 papers · 139 indexed · h-index 5
Topics
Multi-Agent Systems and Negotiation (6 papers)Logic, Reasoning, and Knowledge (5 papers)Business Process Modeling and Analysis (5 papers)
Journals
SHILAP Revista de lepidopterologíaKnowledge and Information SystemsJournal of Logic and Computation

In The Last Decade

Ho-Pun Lam

11 papers receiving 124 citations

Peers

Ho-Pun Lam
Comparison fields: 5 of 38
  • Management Information Systems 90
  • Information Systems 85
  • Artificial Intelligence 67
  • Computer Networks and Communications 18
  • Management Science and Operations Research 8
Replace David Knuplesch with:
David Knuplesch Germany
Ruopeng Lu Australia
Fabrizio Fornari Italy
Tammo van Lessen Germany
Jutta Mülle Germany
Rob Davis United Kingdom
Dominik Kuropka Germany
Julian Eckert Germany
Johannes Maria Zaha Australia
Mark H. Linehan United States
Ho-Pun Lam relative to David Knuplesch Germany David Knuplesch's profile →
Citations per field
00.5×
David Knuplesch · 1×
Citations per year

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

13 of 13 papers shown
#WorkIndexed citations
1 0
2
NLP Techniques for Normative Mining.
1
3 2
4 4
5 48
6 5
7
On the justification of statements in argumentation-based reasoning
4
8 8
9 6
10
On the Derivability of Defeasible Logic
0
11
A model to Coordinate UAVs in urban environment using defeasible logic
3
12
Using Ontologies for Decision Support in Resource Messaging
2
13 56

About Ho-Pun Lam

Ho-Pun Lam is a scholar working on Management Information Systems, Artificial Intelligence and Information Systems, having authored 13 papers that have together received 139 indexed citations. Recurring topics across this work include Multi-Agent Systems and Negotiation (6 papers), Logic, Reasoning, and Knowledge (5 papers) and Business Process Modeling and Analysis (5 papers). The work is most often cited by research in Management Information Systems (90 citations), Information Systems (85 citations) and Health Informatics (3 citations). Ho-Pun Lam has collaborated with scholars based in Australia, Italy and South Korea. Frequent co-authors include Guido Governatori, Mustafa Hashmi, S.Y.W. Su, Jie Meng, Sumi Helal, Moe Thandar Wynn, Jadwiga Indulska, Ricky Robinson, Yongsun Choi and Abdul Sattar. Their work appears in journals such as SHILAP Revista de lepidopterología, Knowledge and Information Systems and Journal of Logic and Computation.

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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