James R. Driscoll

2.6k total citations · 1 hit paper
35 papers, 1.6k citations indexed

About

James R. Driscoll is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing. According to data from OpenAlex, James R. Driscoll has authored 35 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Networks and Communications, 17 papers in Artificial Intelligence and 7 papers in Signal Processing. Recurrent topics in James R. Driscoll's work include Advanced Database Systems and Queries (13 papers), Semantic Web and Ontologies (9 papers) and Advanced Data Storage Technologies (7 papers). James R. Driscoll is often cited by papers focused on Advanced Database Systems and Queries (13 papers), Semantic Web and Ontologies (9 papers) and Advanced Data Storage Technologies (7 papers). James R. Driscoll collaborates with scholars based in United States. James R. Driscoll's co-authors include D.M. Healy, Robert E. Tarjan, Daniel D. Sleator, Neil Sarnak, Harold N. Gabow, Dennis M. Healy, John B. Weaver, Daniel N. Rockmore, Merrick L. Furst and Y. Edmund Lien and has published in prestigious journals such as Communications of the ACM, Magnetic Resonance in Medicine and Journal of the ACM.

In The Last Decade

James R. Driscoll

33 papers receiving 1.5k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Computing Fourier Transforms and Convolutions on the 2-Sphere

1994 585 citations James R. Driscoll, D.M. Healy Advances in Applied Mathematics profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
James R. Driscoll United States	10	438	437	398	339	236	35	1.6k
Hans Sagan United States	12	226 0.5×	139 0.3×	122 0.3×	237 0.7×	335 1.4×	32	1.9k
Quentin F. Stout United States	29	1.1k 2.6×	380 0.9×	90 0.2×	405 1.2×	498 2.1×	140	3.5k
Ramesh Menon United States	5	1.1k 2.6×	418 1.0×	122 0.3×	322 0.9×	192 0.8×	10	2.8k
John L. Gustafson United States	18	930 2.1×	298 0.7×	112 0.3×	194 0.6×	479 2.0×	79	2.2k
David E. Muller United States	18	290 0.7×	782 1.8×	98 0.2×	129 0.4×	967 4.1×	45	2.5k
W. Kahan United States	22	225 0.5×	493 1.1×	346 0.9×	253 0.7×	1.7k 7.2×	55	3.6k
Timothy J. Purcell United States	9	523 1.2×	321 0.7×	176 0.4×	860 2.5×	113 0.5×	12	2.2k
Efstratios Gallopoulos Greece	18	248 0.6×	254 0.6×	102 0.3×	166 0.5×	659 2.8×	76	1.7k
David L. Neuhoff United States	28	685 1.6×	798 1.8×	610 1.5×	1.9k 5.5×	238 1.0×	156	3.3k
Leonardo Dagum United States	11	1.7k 3.8×	482 1.1×	128 0.3×	327 1.0×	215 0.9×	29	3.5k

Countries citing papers authored by James R. Driscoll

Since Specialization

Citations

This map shows the geographic impact of James R. Driscoll'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. Driscoll 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. Driscoll more than expected).

Fields of papers citing papers by James R. Driscoll

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James R. Driscoll

This figure shows the co-authorship network connecting the top 25 collaborators of James R. Driscoll. A scholar is included among the top collaborators of James R. Driscoll based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with James R. Driscoll. James R. Driscoll is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Driscoll, James R., et al.. (2005). A relational dbms conforming to an architecture which incorporates a physical storage language and a physical navigation language. 31–38.

Driscoll, James R., D.M. Healy, & Daniel N. Rockmore. (1997). Fast Discrete Polynomial Transforms with Applications to Data Analysis for Distance Transitive Graphs. SIAM Journal on Computing. 26(4). 1066–1099. 57 indexed citations

Driscoll, James R., et al.. (1995). Multi-lingual text filtering using semantic modeling. Text REtrieval Conference. 259–276.

Driscoll, James R., Dennis M. Healy, & Garth Isaak. (1995). Scheduling dyadic intervals. Discrete Applied Mathematics. 63(2). 101–116. 3 indexed citations

Driscoll, James R., et al.. (1994). Using database schemas to detect relevant information. Text REtrieval Conference. 373–383. 1 indexed citations

Driscoll, James R., Dennis M. Healy, & Daniel N. Rockmore. (1994). Fast Spherical Transforms on Distance Transitive Graphs. 2 indexed citations

Driscoll, James R. & D.M. Healy. (1994). Computing Fourier Transforms and Convolutions on the 2-Sphere. Advances in Applied Mathematics. 15(2). 202–250. 585 indexed citations breakdown →

Driscoll, James R., et al.. (1993). Incorporating Semantics Within a Connectionist Model and a Vector Processing Model.. Text REtrieval Conference. 291–302. 5 indexed citations

Driscoll, James R., et al.. (1992). The QA system. Text REtrieval Conference. 199–207. 2 indexed citations

10.

Weaver, John B., et al.. (1992). Wavelet‐encoded MR imaging. Magnetic Resonance in Medicine. 24(2). 275–287. 89 indexed citations

11.

Driscoll, James R., Daniel D. Sleator, & Robert E. Tarjan. (1991). Fully persistent lists with catenation. Symposium on Discrete Algorithms. 89–99. 6 indexed citations

12.

Driscoll, James R., et al.. (1991). Incorporating a semantic analysis into a document retrieval strategy. Journal of International Crisis and Risk Communication Research. 6. 270–279. 15 indexed citations

13.

Driscoll, James R. & D.M. Healy. (1989). Asymptotically fast algorithms for spherical and related transforms. 344–349. 8 indexed citations

14.

Driscoll, James R., Neil Sarnak, Daniel D. Sleator, & Robert E. Tarjan. (1989). Making data structures persistent. Journal of Computer and System Sciences. 38(1). 86–124. 254 indexed citations

15.

Driscoll, James R., et al.. (1988). Relaxed heaps: an alternative to Fibonacci heaps with applications to parallel computation. Communications of the ACM. 31(11). 1343–1354. 109 indexed citations

16.

Driscoll, James R. & Merrick L. Furst. (1987). Computing short generator sequences. Information and Computation. 72(2). 117–132. 8 indexed citations

17.

Driscoll, James R., Neil Sarnak, Daniel D. Sleator, & Robert E. Tarjan. (1986). Making data structures persistent. 109–121. 383 indexed citations

18.

Driscoll, James R., et al.. (1979). Dynamic derived relations within the RAQUEL II DBMS. 69–80. 3 indexed citations

19.

Driscoll, James R.. (1978). Two Languages, And Their Environment, Founded on Basic Data Base Management System Constructs.. 17(11). 177–182. 2 indexed citations

20.

Driscoll, James R. & Y. Edmund Lien. (1978). A selective traversal algorithm for binary search trees. Communications of the ACM. 21(6). 445–447. 4 indexed citations

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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