Barry E. Jacobs

14 papers receiving 314 citations

Peers

Barry E. Jacobs
Comparison fields: 5 of 64
  • Signal Processing 118
  • Computer Networks and Communications 161
  • Artificial Intelligence 144
  • Cultural Studies 34
  • Developmental and Educational Psychology 45
Replace Maria Chiara Caschera with:
Maria Chiara Caschera Italy
Baw‐Jhiune Liu Taiwan
Jean‐Pierre Corriveau Canada
Tullia Leone United States
Shinsuke Mori Japan
Pei-Yun Hsueh United States
Kay Cohen
Chia-Yi Chiu United States
Teemu Hirsimäki Finland
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Citations per field
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Citations per year

Countries citing papers authored by Barry E. Jacobs

Since Specialization
Citations

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

Fields of papers citing papers by Barry E. Jacobs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Barry E. Jacobs. 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 Barry E. Jacobs. The network helps show where Barry E. Jacobs may publish in the future.

Co-authors

The 12 scholars most cited alongside Barry E. Jacobs, 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 Barry E. Jacobs Line = papers co-authored together Barry E. Jacobs links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198282
2 199269
3 198545
4 200234
5 198233
6 198222
7 198321
8 198020
9 198012
10 199610
11 19775
12
Applied database logic I: Fundamental database issues
19852
13 19801
14 20171
15
Applied database logic. Volume I: fundamental database issues
19850
16
DAVID Universal Books Management System
19910
17 19790
18
Further studies on intestinal antisepsis; neomycin-nystatin.
20020
19 19780
20 19780

About Barry E. Jacobs

Barry E. Jacobs is a scholar working on Computer Networks and Communications, Artificial Intelligence, Computational Theory and Mathematics, Signal Processing and Food Science, having authored 23 papers that have together received 357 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (8 papers), Sensory Analysis and Statistical Methods (4 papers), Logic, Reasoning, and Knowledge (4 papers), Computability, Logic, AI Algorithms (4 papers), Data Management and Algorithms (4 papers), Advanced Algebra and Logic (4 papers), semigroups and automata theory (3 papers) and Color perception and design (2 papers). The work is most often cited by research in Signal Processing (118 citations), Computer Networks and Communications (161 citations), Artificial Intelligence (144 citations), Cultural Studies (34 citations) and Developmental and Educational Psychology (45 citations). Barry E. Jacobs has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Howard Moskowitz, John Grant, Neil M. Lazar, Alan R. Aronson, Julie A. Ribes, Sue B. Overman, Anthony C. Klug, Jack Minker, Shou‐Hsuan Stephen Huang and Donald A. Fitch. Their work appears in journals such as Journal of the ACM, Transactions of the American Mathematical Society, Journal of Clinical Microbiology, Journal of Marketing Research and ACM Transactions on Database Systems.

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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