Adam Marcus
Impact in
- Computer Science Applications top 0.5%
- Mobile Crowdsensing and Crowdsourcing
- Health Informatics top 5%
Papers in
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- Mobile Crowdsensing and Crowdsourcing 11
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- Web Data Mining and Analysis 6
- Co-authors
- Samuel R. Madden (15 shared papers)David R. Karger (12 shared papers)Robert Clell Miller (10 shared papers)Daniel J. Abadi (3 shared papers)Michael S. Bernstein (5 shared papers)Eugene W. Wu (5 shared papers)Ivan Oransky (7 shared papers)Aditya Parameswaran (3 shared papers)
- Journals
- Proceedings of the VLDB Endowment (3 papers)Science (2 papers)Accountability in Research (1 paper)ACM SIGMOD Record (1 paper)The Journal of Law Medicine & Ethics (1 paper)
- Partner nations
- United StatesPakistanQatar
In The Last Decade
Adam Marcus
43 papers receiving 2.3k citations
Adam Marcus's Hit Papers
Peers
Comparison fields: 5 of 111
- Computer Science Applications 649
- Health Informatics 56
- Artificial Intelligence 1.3k
- Signal Processing 375
- Computer Networks and Communications 757
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-authors
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
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Scalable Semantic Web Data Management Using Vertical Partitioning Hit paper breakdown → | 2007 | 474 |
| 2 | Twitinfo Hit paper breakdown → | 2011 | 464 |
| 3 | 2009 | 256 | |
| 4 | 2011 | 217 | |
| 5 | Crowdsourced Databases: Query Processing with People | 2011 | 159 |
| 6 | 2016 | 109 | |
| 7 | 2012 | 71 | |
| 8 | 2015 | 58 | |
| 9 | 2014 | 57 | |
| 10 | 2015 | 53 | |
| 11 | 2009 | 53 | |
| 12 | 2015 | 44 | |
| 13 | 2010 | 42 | |
| 14 | 2018 | 42 | |
| 15 | 2020 | 38 | |
| 16 | 2011 | 35 | |
| 17 | 2011 | 32 | |
| 18 | 2012 | 29 | |
| 19 | 2015 | 26 | |
| 20 | 2011 | 23 |
About Adam Marcus
Adam Marcus is a scholar working on Computer Science Applications, Information Systems, Artificial Intelligence, Information Systems and Management and Safety Research, having authored 45 papers that have together received 2.4k indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (11 papers), Data Stream Mining Techniques (9 papers), Privacy-Preserving Technologies in Data (7 papers), Web Data Mining and Analysis (6 papers), Advanced Database Systems and Queries (6 papers), Academic integrity and plagiarism (5 papers), Data Visualization and Analytics (5 papers) and Semantic Web and Ontologies (3 papers). The work is most often cited by research in Computer Science Applications (649 citations), Health Informatics (56 citations), Artificial Intelligence (1.3k citations), Signal Processing (375 citations) and Computer Networks and Communications (757 citations). Adam Marcus has collaborated with scholars based in United States, Pakistan and Qatar. Frequent co-authors include Samuel R. Madden, David R. Karger, Robert Clell Miller, Daniel J. Abadi, Michael S. Bernstein, Eugene W. Wu, Ivan Oransky, Aditya Parameswaran, Héctor García-Molina and Manas Joglekar. Their work appears in journals such as Proceedings of the VLDB Endowment, Science, Accountability in Research, ACM SIGMOD Record 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.