D. Mandelbaum

983 citations
50 papers · 699 · h-index 12

Impact in

Papers in

D. Mandelbaum

49 papers receiving 622 citations

Peers

D. Mandelbaum
Comparison fields: 5 of 65
  • Computer Networks and Communications 308
  • Computational Theory and Mathematics 180
  • Artificial Intelligence 349
  • Hardware and Architecture 59
  • Electrical and Electronic Engineering 332
Replace John D. Lipson with:
John D. Lipson United States
Michael Kircher Germany
A. Salsano Italy
Jan Pachl Canada
William Millan Australia
D. Cohen United States
Charles Lynn United States
Margreta Kuijper Australia
Alessandro Rubini Italy
Mahesh Balakrishnan United States
D. Mandelbaum relative to John D. Lipson United States John D. Lipson's profile →
Citations per field
00.5×5×11.9×
John D. Lipson · 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 9 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 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1974164
2 197295
3 198351
4 196750
5 197644
6 197131
7 197218
8 199015
9 198315
10 196814
11 199612
12 197712
13 197811
14 197710
15 198410
16 197510
17 197510
18 19869
19 19729
20 19939

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 50 papers that have together received 699 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 (308 citations), Computational Theory and Mathematics (180 citations), Artificial Intelligence (349 citations), Hardware and Architecture (59 citations) and Electrical and Electronic Engineering (332 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, Mitchell L. Henry, Bruce G. Sommer, Ronald M. Ferguson, Patrick S. Vaccaro and William L. Smead. 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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