D. Mandelbaum

983 citations
49 papers · 636 · h-index 12

Impact in

Papers in

D. Mandelbaum

48 papers receiving 567 citations

Peers

D. Mandelbaum
Comparison fields: 5 of 63
  • Computer Networks and Communications 281
  • Computational Theory and Mathematics 162
  • Artificial Intelligence 315
  • Hardware and Architecture 54
  • Electrical and Electronic Engineering 310
Replace Phong Q. Nguyễn with:
Phong Q. Nguyễn France
John D. Lipson United States
Charles Lynn United States
François Bodin France
Mahesh Balakrishnan United States
Xiaokang Qiu United States
Juan Lanchares Spain
Edward S. Davidson United States
Jan Pachl Canada
B. Leon United States
D. Mandelbaum relative to Phong Q. Nguyễn France Phong Q. Nguyễn's profile →
Citations per field
00.5×4.6×
Phong Q. Nguyễn · 1×
Citations per year

Countries citing papers authored by D. Mandelbaum

Since Specialization
Citations

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

Fields of papers citing papers by D. Mandelbaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside D. Mandelbaum, 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 D. Mandelbaum Line = papers co-authored together D. Mandelbaum links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1974159
2 197290
3 198348
4 196743
5 197640
6 197126
7 197217
8 198315
9 199014
10 196813
11 199611
12 197711
13 197510
14 197510
15 197810
16 19729
17 19939
18 19728
19 19777
20 19807

About D. Mandelbaum

D. Mandelbaum is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Electrical and Electronic Engineering and Molecular Biology, having authored 49 papers that have together received 636 indexed citations. Recurring topics across this work include Coding theory and cryptography (27 papers), Cellular Automata and Applications (16 papers), Error Correcting Code Techniques (11 papers), DNA and Biological Computing (9 papers), Algorithms and Data Compression (7 papers), Numerical Methods and Algorithms (7 papers), Advanced Data Storage Technologies (6 papers) and Cryptography and Residue Arithmetic (5 papers). The work is most often cited by research in Computer Networks and Communications (281 citations), Computational Theory and Mathematics (162 citations), Artificial Intelligence (315 citations), Hardware and Architecture (54 citations) and Electrical and Electronic Engineering (310 citations). D. Mandelbaum has collaborated with scholars based in United States. Frequent co-authors include Eric Anderson, E. Christopher Ellison, Larry C. Carey, Marc Cooperman, William L. Smead and Patrick S. Vaccaro. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Computers, The American Journal of Surgery, IEEE Transactions on Parallel and Distributed Systems and Electronics Letters.

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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