Adam Marcus
- Computer Science Applications top 0.5%
- Mobile Crowdsensing and Crowdsourcing 11
- Health Informatics top 2%
- Artificial Intelligence top 1%
- Data Stream Mining Techniques 9
- Privacy-Preserving Technologies in Data 7
- Signal Processing top 2%
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- Advanced Database Systems and Queries 7
- Peer-to-Peer Network Technologies 3
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- Web Data Mining and Analysis 6
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- Academic integrity and plagiarism 4
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- Data Visualization and Analytics 4
- Co-authors
- Samuel MaddenDavid R. KargerRobert C. MillerDaniel J. AbadiIvan OranskyMichael S. BernsteinEugene WuAditya Parameswaran
- Partner nations
- United StatesPakistan
In The Last Decade
Adam Marcus
41 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Computer Science Applications 577
- Health Informatics 73
- Artificial Intelligence 1.1k
- Information Systems and Management 191
- Signal Processing 282
Countries citing papers authored by Adam Marcus
This map shows the geographic impact of Adam Marcus'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 Adam Marcus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adam Marcus more than expected).
Fields of papers citing papers by Adam Marcus
This network shows the impact of papers produced by Adam Marcus. 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 Adam Marcus. The network helps show where Adam Marcus may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Adam Marcus, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2018 | 17 | |
| 3 | 2018 | 5 | |
| 4 | 2017 | 1 | |
| 5 | 2017 | 9 | |
| 6 | 2015 | 40 | |
| 7 | 2015 | 39 | |
| 8 | 2015 | 42 | |
| 9 | 2015 | 26 | |
| 10 | 2014 | 107 | |
| 11 | 2014 | 56 | |
| 12 | 2013 | 2 | |
| 13 | Data In Context: Aiding News Consumers while Taming Dataspaces | 2013 | 3 |
| 14 | 2012 | 67 | |
| 15 | Crowdsourced Databases: Query Processing with People | 2011 | 142 |
| 16 | 2011 | 20 | |
| 17 | Processing and visualizing the data in tweets | 2011 | 1 |
| 18 | Scalable semantic web data management using vertical partitioningbreakdown → | 2007 | 357 |
| 19 | Using The Barton Libraries Dataset As An RDF benchmark | 2007 | 17 |
| 20 | 2006 | 2 |
About Adam Marcus
Adam Marcus is a scholar working on Computer Science Applications, Health Informatics, Information Systems and Management, Architecture and Information Systems, having authored 42 papers that have together received 2.1k indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (11 papers), Data Stream Mining Techniques (9 papers), Advanced Database Systems and Queries (7 papers), Privacy-Preserving Technologies in Data (7 papers), Web Data Mining and Analysis (6 papers), Academic integrity and plagiarism (4 papers), Data Visualization and Analytics (4 papers) and Peer-to-Peer Network Technologies (3 papers). The work is most often cited by research in Computer Science Applications (577 citations), Health Informatics (73 citations), Artificial Intelligence (1.1k citations), Information Systems and Management (191 citations) and Signal Processing (282 citations). Adam Marcus has collaborated with scholars based in United States and Pakistan. Frequent co-authors include Samuel Madden, David R. Karger, Robert C. Miller, Daniel J. Abadi, Ivan Oransky, Michael S. Bernstein, Eugene Wu, Aditya Parameswaran, Vasilis Verroios and Héctor García-Molina. Their work appears in journals such as Science, Proceedings of the VLDB Endowment, Nature, JAMA and The Journal of Law Medicine & Ethics.
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.