James C. French

3.3k citations
133 papers · 2.3k indexed · h-index 26

James C. French

126 papers receiving 2.0k citations

Peers

James C. French
Comparison fields: 5 of 145
  • Signal Processing 297
  • Computer Networks and Communications 600
  • Information Systems 554
  • Hardware and Architecture 166
  • Pharmacology 294
Replace Wolfgang Karl with:
Wolfgang Karl Germany
Jan Heering Germany
Sean O’Malley United States
Zhiying Wang China
Hiren Patel India
B. L. Robinson United Kingdom
Petra Mutzel Germany
Peter Naur Denmark
Haifeng Yu China
Milind Bhandarkar United States
James C. French relative to Wolfgang Karl Germany Wolfgang Karl's profile →
Citations per field
00.5×9.6×
Wolfgang Karl · 1×
Citations per year

Countries citing papers authored by James C. French

Since Specialization
Citations

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

Fields of papers citing papers by James C. French

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside James C. French, 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 C. French Line = papers co-authored together James C. French links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20230
4 20114
5 20066
6
SAIC & University of Virginia at TREC 2005: HARD Track.
20051
7 20047
8 200318
9 200317
10 20025
11
The Effects of Query-Based Sampling on Automatic Database Selection Algorithms
20006
12 20006
13 200098
14 19962
15 19963
16
Scientific Database Management with ADAMS.
19938
17
A Summary of the NSF Scientific Database Workshop.
19905
18 199035
19 198622
20 1983101

About James C. French

James C. French is a scholar working on Toxicology, Signal Processing and Computer Networks and Communications, having authored 133 papers that have together received 2.3k indexed citations. Recurring topics across this work include Data Management and Algorithms (19 papers), Advanced Data Storage Technologies (15 papers), Advanced Image and Video Retrieval Techniques (13 papers), Algorithms and Data Compression (12 papers), Web Data Mining and Analysis (12 papers), Advanced Database Systems and Queries (12 papers), Image Retrieval and Classification Techniques (11 papers) and Information Retrieval and Search Behavior (10 papers). The work is most often cited by research in Signal Processing (297 citations), Computer Networks and Communications (600 citations) and Information Systems (554 citations). James C. French has collaborated with scholars based in United States, Germany and South Korea. Frequent co-authors include Allison L. Powell, Charles L. Viles, Quentin R. Bartz, Theodore H. Haskell, Calvin L. Stevens, Andrew Grimshaw, Jamie Callan, Eric Schulman, Worthy N. Martin and William A. Wulf.

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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