James R. Bitner

950 citations
17 papers · 640 · h-index 7

Impact in

Papers in

James R. Bitner

17 papers receiving 579 citations

Peers

James R. Bitner
Comparison fields: 5 of 53
  • Discrete Mathematics and Combinatorics 79
  • Computer Networks and Communications 230
  • Computational Theory and Mathematics 121
  • Artificial Intelligence 212
  • Hardware and Architecture 29
Replace Imrich Vrt’o with:
Imrich Vrt’o Slovakia
Hsueh-I Lu Taiwan
F. Frances Yao United States
Shi‐Chun Tsai Taiwan
Gregory J. E. Rawlins United States
Jacobo Torán Germany
Eljas Soisalon-Soininen Finland
Linda Pagli Italy
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Citations per field
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Citations per year

Countries citing papers authored by James R. Bitner

Since Specialization
Citations

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

Fields of papers citing papers by James R. Bitner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James R. Bitner. 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 James R. Bitner. The network helps show where James R. Bitner may publish in the future.

Co-authors

The 11 scholars most cited alongside James R. Bitner, 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 James R. Bitner Line = papers co-authored together James R. Bitner links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 1975235
2 1976187
3 1979106
4 199237
5 200221
6
Heuristics that dynamically alter data structures to reduce their access time.
19769
7 19797
8 20027
9 20026
10 19815
11 19925
12 19824
13 19783
14 19853
15 20023
16
Two Results on Self-organizing Data Structures
19821
17 20031

About James R. Bitner

James R. Bitner is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Discrete Mathematics and Combinatorics, Computer Networks and Communications and Nuclear Energy and Engineering, having authored 17 papers that have together received 640 indexed citations. Recurring topics across this work include Formal Methods in Verification (7 papers), Algorithms and Data Compression (7 papers), Advanced Combinatorial Mathematics (2 papers), Advanced Data Storage Technologies (1 paper), Advanced Database Systems and Queries (1 paper), Complexity and Algorithms in Graphs (1 paper), Logic, programming, and type systems (1 paper) and Constraint Satisfaction and Optimization (1 paper). The work is most often cited by research in Discrete Mathematics and Combinatorics (79 citations), Computer Networks and Communications (230 citations), Computational Theory and Mathematics (121 citations), Artificial Intelligence (212 citations) and Hardware and Architecture (29 citations). James R. Bitner has collaborated with scholars based in United States and Israel. Frequent co-authors include Edward M. Reingold, Gideon Ehrlich, Jacob A. Abraham, Donald S. Fussell, Jawahar Jain, Jawahar Jain, Chee Kuan Wong, Magdy S. Abadir, Shou‐Hsuan Stephen Huang and John Harrison Howard. Their work appears in journals such as SIAM Journal on Computing, Communications of the ACM, Formal Methods in System Design, Information Processing Letters and Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign).

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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