Daniel J. Buehrer

1.9k citations
25 papers · 1.3k · 1 hit paper · h-index 7

Impact in

Papers in

Daniel J. Buehrer

24 papers receiving 1.2k citations

Daniel J. Buehrer's Hit Papers

Vague sets 1993 · 1.2k citations
1.2k0+11+22Years since publication2505007501000

Peers

Daniel J. Buehrer
Comparison fields: 5 of 90
  • Management Science and Operations Research 1.0k
  • Statistics and Probability 328
  • Computational Theory and Mathematics 419
  • Control and Systems Engineering 317
  • Artificial Intelligence 399
Replace Wenyi Zeng with:
Wenyi Zeng China
Wen-Bing Gau Taiwan
Na Chen China
Junlin Liu China
P. Burillo Spain
Hua Zhao China
Shou-Hsiung Cheng Taiwan
Marian B. Gorzałczany Poland
Christophe Labreuche France
Muhammad Aslam Pakistan
Daniel J. Buehrer relative to Wenyi Zeng China Wenyi Zeng's profile →
Citations per field
00.5×1.5×
Wenyi Zeng · 1×
Citations per year

Countries citing papers authored by Daniel J. Buehrer

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Buehrer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Buehrer. 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 Daniel J. Buehrer. The network helps show where Daniel J. Buehrer may publish in the future.

Co-authors

The 5 scholars most cited alongside Daniel J. Buehrer, 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 Daniel J. Buehrer Line = papers co-authored together Daniel J. Buehrer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Vague sets
Hit paper breakdown →
19931179
2 199173
3 199319
4 19949
5 20108
6
A Cascade Exponentiation Evaluation Scheme Based on the Lempel-Ziv-Welch Compression Algorithm.
19957
7 19857
8 20126
9 19944
10 20084
11 20034
12 20084
13 19964
14 20143
15 20083
16
Class Algebra as a Description Logic.
19962
17 19942
18 20042
19 20001
20 20041

About Daniel J. Buehrer

Daniel J. Buehrer is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 25 papers that have together received 1.3k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (5 papers), Advanced Database Systems and Queries (5 papers), Logic, Reasoning, and Knowledge (4 papers), Image Retrieval and Classification Techniques (3 papers), Distributed systems and fault tolerance (3 papers), Service-Oriented Architecture and Web Services (3 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Rough Sets and Fuzzy Logic (3 papers). The work is most often cited by research in Management Science and Operations Research (1.0k citations), Statistics and Probability (328 citations), Computational Theory and Mathematics (419 citations), Control and Systems Engineering (317 citations) and Artificial Intelligence (399 citations). Daniel J. Buehrer has collaborated with scholars based in Taiwan. Frequent co-authors include Wen-Bing Gau, Chin‐Chen Chang, Chia‐Chen Chang, Tzu-Chuen Lu and Chuan Yi Tang. Their work appears in journals such as Journal of Systems and Software, Pattern Recognition, Forensic Science International, Information Systems and Computers & Security.

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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