Anna Moss
Impact in
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- Complexity and Algorithms in Graphs
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- Mobile Crowdsensing and Crowdsourcing
Papers in
- Software 3
- Software Testing and Debugging Techniques 3
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- Constraint Satisfaction and Optimization 3
- Distributed systems and fault tolerance 2
- Optimization and Search Problems 1
- Co-authors
- Joseph Seffi Naor (3 shared papers)Samir Khuller (1 shared paper)Yuval Rabani (2 shared papers)Baruch Schieber (2 shared papers)Sudipto Guha (2 shared papers)
- Journals
- SIAM Journal on Computing (1 paper)Lecture notes in computer science (2 papers)Information Processing Letters (1 paper)ACM Symposium on Theory of Computing (STOC) (2 papers)Springer eBooks (1 paper)
- Partner nations
- IsraelUnited StatesFrance
In The Last Decade
Anna Moss
7 papers receiving 875 citations
Anna Moss's Hit Papers
Peers
Comparison fields: 5 of 50
- Computational Theory and Mathematics 314
- Computer Science Applications 84
- Computer Networks and Communications 203
- Statistical and Nonlinear Physics 88
- Artificial Intelligence 147
Countries citing papers authored by Anna Moss
This map shows the geographic impact of Anna Moss'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 Anna Moss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Moss more than expected).
Fields of papers citing papers by Anna Moss
This network shows the impact of papers produced by Anna Moss. 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 Anna Moss. The network helps show where Anna Moss may publish in the future.
Co-authors
The 5 scholars most cited alongside Anna Moss, 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 | The budgeted maximum coverage problem Hit paper breakdown → | 1999 | 762 |
| 2 | 1999 | 44 | |
| 3 | 2007 | 41 | |
| 4 | Efficient recovery from power outage | 1999 | 37 |
| 5 | 2001 | 19 | |
| 6 | 2006 | 9 | |
| 7 | 2008 | 7 | |
| 8 | 2010 | 0 | |
| 9 | 2011 | 0 |
About Anna Moss
Anna Moss is a scholar working on Software, Computer Networks and Communications, Computational Theory and Mathematics, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 9 papers that have together received 919 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (4 papers), Constraint Satisfaction and Optimization (3 papers), Software Testing and Debugging Techniques (3 papers), Distributed systems and fault tolerance (2 papers) and Optimization and Search Problems (1 paper). The work is most often cited by research in Computational Theory and Mathematics (314 citations), Computer Science Applications (84 citations), Computer Networks and Communications (203 citations), Statistical and Nonlinear Physics (88 citations) and Artificial Intelligence (147 citations). Anna Moss has collaborated with scholars based in Israel, United States and France. Frequent co-authors include Joseph Seffi Naor, Samir Khuller, Yuval Rabani, Baruch Schieber and Sudipto Guha. Their work appears in journals such as SIAM Journal on Computing, Lecture notes in computer science, Information Processing Letters, ACM Symposium on Theory of Computing (STOC) and Springer eBooks.
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.