David L. Martin
- Information Systems top 0.2%
- Artificial Intelligence top 0.5%
- Computer Networks and Communications top 2%
- Management Information Systems top 1%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Sheila A. McIlraithJerry R. HobbsKatia SycaraSrini NarayananAnupriya AnkolekarOra LassilaTerry R. PayneHonglei Zeng
- Topics
- Semantic Web and Ontologies (9 papers)Multi-Agent Systems and Negotiation (4 papers)Neuroscience and Neuropharmacology Research (4 papers)
- Partner nations
- United StatesSouth KoreaCanada
In The Last Decade
David L. Martin
25 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Information Systems 1.6k
- Artificial Intelligence 1.4k
- Computer Networks and Communications 757
- Management Information Systems 547
- Computer Vision and Pattern Recognition 202
Countries citing papers authored by David L. Martin
This map shows the geographic impact of David L. Martin'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 David L. Martin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David L. Martin more than expected).
Fields of papers citing papers by David L. Martin
This network shows the impact of papers produced by David L. Martin. 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 David L. Martin. The network helps show where David L. Martin may publish in the future.
Co-authorship network of co-authors of David L. Martin
This figure shows the co-authorship network connecting the top 25 collaborators of David L. Martin. A scholar is included among the top collaborators of David L. Martin 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 David L. Martin. David L. Martin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Nuance Reasoning Framework. | 1 |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | Issues in Algorithm Characterization for Link Analysis. | 3 |
| 7 | DAML-S: semantic markup for web servicesbreakdown → | 1511 |
| 8 | Using Information Extraction to Improve Document Retrieval | 23 |
| 9 | 29 | |
| 10 | 45 | |
| 11 | 5 | |
| 12 | 26 | |
| 13 | 0 | |
| 14 | 22 | |
| 15 | 2 | |
| 16 | 3 | |
| 17 | 18 | |
| 18 | 5 | |
| 19 | 1 | |
| 20 | Competitive Sports: Are They Wasting Dollars and Ruining Your Youngsters Too?. | 2 |
About David L. Martin
David L. Martin is a scholar working on Artificial Intelligence, Management Information Systems and Management Science and Operations Research, having authored 28 papers that have together received 2.2k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (9 papers), Multi-Agent Systems and Negotiation (4 papers) and Neuroscience and Neuropharmacology Research (4 papers). The work is most often cited by research in Information Systems (1.6k citations), Management Information Systems (547 citations) and Artificial Intelligence (1.4k citations). David L. Martin has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Sheila A. McIlraith, Jerry R. Hobbs, Katia Sycara, Srini Narayanan, Anupriya Ankolekar, Ora Lassila, Terry R. Payne, Honglei Zeng, Mark Burstein and Massimo Paolucci. Their work appears in journals such as Analytical Biochemistry, Journal of Neurochemistry and Behavioral and Brain Sciences.
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.