Julia Abrahams

17.0k citations
29 papers · 12.0k · 1 hit paper · h-index 12

Impact in

Papers in

Julia Abrahams

28 papers receiving 11.2k citations

Julia Abrahams's Hit Papers

Probability, Random Variables, and Stochastic Processes. 1984 · 11.7k citations
11.7k0+14+28Years since publication2.5k5.0k7.5k10.0k

Peers

Julia Abrahams
Comparison fields: 5 of 189
  • Computer Networks and Communications 3.0k
  • Signal Processing 1.3k
  • Electrical and Electronic Engineering 4.7k
  • Statistics, Probability and Uncertainty 525
  • Computer Vision and Pattern Recognition 1.5k
Replace Sun‐Yuan Kung with:
Sun‐Yuan Kung United States
A. Papoulis United States
Radford M. Neal Canada
Irwin Miller United States
J.G. Proakis United States
Steven Kay United States
G. W. Stewart United States
George Cybenko United States
Charles F. Van Loan United States
Claude E. Shannon United States
Julia Abrahams relative to Sun‐Yuan Kung United States Sun‐Yuan Kung's profile →
Citations per field
00.5×1.5×1.9×
Sun‐Yuan Kung · 1×
Citations per year

Countries citing papers authored by Julia Abrahams

Since Specialization
Citations

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

Fields of papers citing papers by Julia Abrahams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Julia Abrahams, 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 Julia Abrahams Line = papers co-authored together Julia Abrahams links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Probability, Random Variables, and Stochastic Processes.
Hit paper breakdown →
198411690
2 198642
3 200240
4 200135
5 198732
6 198631
7 198127
8 199417
9 201914
10 198412
11 199612
12 198211
13 199510
14 19948
15 19986
16 19846
17 19955
18 19825
19 19935
20 19844

About Julia Abrahams

Julia Abrahams is a scholar working on Artificial Intelligence, Molecular Biology, Electrical and Electronic Engineering, Signal Processing and Statistics and Probability, having authored 29 papers that have together received 12.0k indexed citations. Recurring topics across this work include Algorithms and Data Compression (15 papers), DNA and Biological Computing (5 papers), Cellular Automata and Applications (4 papers), Stochastic processes and statistical mechanics (4 papers), Data Management and Algorithms (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Markov Chains and Monte Carlo Methods (2 papers). The work is most often cited by research in Computer Networks and Communications (3.0k citations), Signal Processing (1.3k citations), Electrical and Electronic Engineering (4.7k citations), Statistics, Probability and Uncertainty (525 citations) and Computer Vision and Pattern Recognition (1.5k citations). Julia Abrahams has collaborated with scholars based in United States, Russia and Netherlands. Frequent co-authors include A. Papoulis, John B. Thomas, Ian F. Blake, H. Vincent Poor, Marc J. Lipman, Catherine L. Davis and Giselle Carnaby. Their work appears in journals such as IEEE Transactions on Information Theory, SIAM Journal on Applied Mathematics, Journal of the Franklin Institute, Stochastic Processes and their Applications and Information Processing & Management.

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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