Mark Bun

1.8k citations
27 papers · 330 · h-index 9

Impact in

    • Privacy-Preserving Technologies in Data
    • Cryptography and Data Security
    • Machine Learning and Algorithms
    • Stochastic Gradient Optimization Techniques
    • Internet Traffic Analysis and Secure E-voting
    • Mobile Crowdsensing and Crowdsourcing

Papers in

    • Privacy-Preserving Technologies in Data 14
    • Cryptography and Data Security 14
    • Machine Learning and Algorithms 10
    • Quantum Computing Algorithms and Architecture 5
    • Internet Traffic Analysis and Secure E-voting 3
    • Complexity and Algorithms in Graphs 9
    • Computability, Logic, AI Algorithms 3

Mark Bun

24 papers receiving 307 citations

Peers

Mark Bun
Comparison fields: 5 of 55
  • Artificial Intelligence 285
  • Computer Science Applications 46
  • Computational Theory and Mathematics 50
  • Health Informatics 4
  • Sociology and Political Science 98
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Citations per field
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Citations per year

Countries citing papers authored by Mark Bun

Since Specialization
Citations

This map shows the geographic impact of Mark Bun'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 Mark Bun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Bun more than expected).

Fields of papers citing papers by Mark Bun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark Bun. 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 Mark Bun. The network helps show where Mark Bun may publish in the future.

Co-authors

The 25 scholars most cited alongside Mark Bun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mark Bun Line = papers co-authored together Mark Bun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201888
2 201851
3 201849
4
Bridging the Gap between Computer Science and Legal Approaches to Privacy
201824
5 201924
6
Differential Privacy: A Primer for a Non-Technical Audience
201813
7 202011
8 20149
9 20189
10 20168
11
20206
12
Differentially Private Submodular Maximization: Data Summarization in Disguise.
20175
13
20215
14 20155
15 20224
16 20173
17 20243
18 20233
19
Approximate Degree and the Complexity of Depth Three Circuits.
20162
20 20132

About Mark Bun

Mark Bun is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Sociology and Political Science, Management Science and Operations Research and Electrical and Electronic Engineering, having authored 27 papers that have together received 330 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (14 papers), Cryptography and Data Security (14 papers), Machine Learning and Algorithms (10 papers), Complexity and Algorithms in Graphs (9 papers), Quantum Computing Algorithms and Architecture (5 papers), Computability, Logic, AI Algorithms (3 papers), Privacy, Security, and Data Protection (3 papers) and Internet Traffic Analysis and Secure E-voting (3 papers). The work is most often cited by research in Artificial Intelligence (285 citations), Computer Science Applications (46 citations), Computational Theory and Mathematics (50 citations), Health Informatics (4 citations) and Sociology and Political Science (98 citations). Mark Bun has collaborated with scholars based in United States, Israel and Mexico. Frequent co-authors include Uri Stemmer, Thomas Steinke, Jelani Nelson, Salil Vadhan, Justin Thaler, Kobbi Nissim, Marco Gaboardi, Alexandra Wood, Guy N. Rothblum and Cynthia Dwork. Their work appears in journals such as Theory of Computing, Electronic Journal of Statistics, ACM Transactions on Algorithms, SIAM Journal on Computing and Journal of the ACM.

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.

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