John Lawrence
Impact in
- Communication top 5%
- Media Studies and Communication
- Social Media and Politics
- Artificial Intelligence top 2%
- Topic Modeling
- Multi-Agent Systems and Negotiation
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
Papers in
-
- Multi-Agent Systems and Negotiation 15
- Topic Modeling 13
- Natural Language Processing Techniques 8
- Semantic Web and Ontologies 7
- Advanced Text Analysis Techniques 6
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- Software Engineering Research 8
- Co-authors
- Chris Reed (26 shared papers)Floris Bex (3 shared papers)Robert Jewett (4 shared papers)Katarzyna Budzyńska (7 shared papers)Ambikesh Jayal (1 shared paper)Imtiaz Khan (1 shared paper)Nisha Rawindaran (1 shared paper)Edmond Prakash (1 shared paper)
- Journals
- Proceedings of the American Mathematical Society (3 papers)Communications of the ACM (2 papers)ACM Transactions on Internet Technology (2 papers)Language Resources and Evaluation (2 papers)The Journal of Popular Culture (2 papers)
- Partner nations
- United StatesUnited KingdomPoland
In The Last Decade
John Lawrence
64 papers receiving 933 citations
John Lawrence's Hit Papers
Peers
Comparison fields: 5 of 128
- Communication 156
- Artificial Intelligence 478
- Information Systems 206
- Gender Studies 81
- Visual Arts and Performing Arts 33
Countries citing papers authored by John Lawrence
This map shows the geographic impact of John Lawrence'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 John Lawrence with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Lawrence more than expected).
Fields of papers citing papers by John Lawrence
This network shows the impact of papers produced by John Lawrence. 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 John Lawrence. The network helps show where John Lawrence may publish in the future.
Co-authors
The 25 scholars most cited alongside John Lawrence, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 209 | |
| 2 | 2004 | 129 | |
| 3 | Cybersecurity, Data Privacy and Blockchain: A Review Hit paper breakdown → | 2022 | 109 |
| 4 | 2013 | 53 | |
| 5 | 2005 | 51 | |
| 6 | 2015 | 41 | |
| 7 | 2014 | 29 | |
| 8 | The Emperor's Virtual Clothes: The Naked Truth about Internet Culture | 1996 | 26 |
| 9 | 2017 | 26 | |
| 10 | The American Monomyth | 1977 | 26 |
| 11 | 2020 | 18 | |
| 12 | 2020 | 18 | |
| 13 | 2005 | 18 | |
| 14 | 2017 | 17 | |
| 15 | 2017 | 15 | |
| 16 | 2017 | 15 | |
| 17 | 2017 | 14 | |
| 18 | 2017 | 14 | |
| 19 | 2004 | 14 | |
| 20 | 2017 | 13 |
About John Lawrence
John Lawrence is a scholar working on Artificial Intelligence, Information Systems, Sociology and Political Science, Literature and Literary Theory and Philosophy, having authored 78 papers that have together received 1.1k indexed citations. Recurring topics across this work include Multi-Agent Systems and Negotiation (15 papers), Topic Modeling (13 papers), Natural Language Processing Techniques (8 papers), Software Engineering Research (8 papers), Semantic Web and Ontologies (7 papers), Advanced Text Analysis Techniques (6 papers), Wikis in Education and Collaboration (4 papers) and Comics and Graphic Narratives (4 papers). The work is most often cited by research in Communication (156 citations), Artificial Intelligence (478 citations), Information Systems (206 citations), Gender Studies (81 citations) and Visual Arts and Performing Arts (33 citations). John Lawrence has collaborated with scholars based in United States, United Kingdom and Poland. Frequent co-authors include Chris Reed, Floris Bex, Robert Jewett, Katarzyna Budzyńska, Ambikesh Jayal, Imtiaz Khan, Nisha Rawindaran, Edmond Prakash, Chaminda Hewage and Barbara Konat. Their work appears in journals such as Proceedings of the American Mathematical Society, Communications of the ACM, ACM Transactions on Internet Technology, Language Resources and Evaluation and The Journal of Popular Culture.
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.