Scott B. Huffman

994 citations
23 papers · 472 indexed · h-index 9

Impact in

Papers in

Scott B. Huffman

22 papers receiving 432 citations

Peers

Scott B. Huffman
Comparison fields: 5 of 76
  • Computer Science Applications 52
  • Information Systems 210
  • Artificial Intelligence 194
  • Health 46
  • Information Systems and Management 35
Replace Susan Price with:
Susan Price United States
Giovanni Stilo Italy
Anmol Madan United States
Seda Özmutlu Türkiye
Celso G. Camilo-Junior Brazil
Gawesh Jawaheer United Kingdom
Farshad Kooti United States
Shuiqiao Yang Australia
Christoph Lofi Netherlands
Sokratis Nifakos Sweden
Scott B. Huffman relative to Susan Price United States Susan Price's profile →
Citations per field
00.5×4.9×
Susan Price · 1×
Citations per year

Countries citing papers authored by Scott B. Huffman

Since Specialization
Citations

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

Fields of papers citing papers by Scott B. Huffman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott B. Huffman. 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 Scott B. Huffman. The network helps show where Scott B. Huffman may publish in the future.

Co-authors

The 20 scholars most cited alongside Scott B. Huffman, 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 Scott B. Huffman Line = papers co-authored together Scott B. Huffman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202167
2 202123
3 200827
4 20076
5 200795
6
Toward Structured Retrieval in Semi-structured Information Spaces
19976
7
Beyond full-text search: AI-based technology to support the knowledge cycle
199710
8 19974
9 19977
10 19955
11 199565
12
Meta-Information for Knowledge Navigation and Retrieval: What's In There
19955
13
Learning from highly flexible tutorial instruction
19943
14
Learning procedures from interactive natural language instructions
19941
15 19932
16 19923
17
Using concrete, perceptually based representations to avoid the frame problem*
19923
18 19918
19
A Rule-Based System Tool for Automated ER Model Clustering
19897
20 19782

About Scott B. Huffman

Scott B. Huffman is a scholar working on Artificial Intelligence, Computer Networks and Communications, Signal Processing, Management Information Systems and Information Systems, having authored 23 papers that have together received 472 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (8 papers), Advanced Database Systems and Queries (5 papers), Multi-Agent Systems and Negotiation (4 papers), Web Data Mining and Analysis (4 papers), Semantic Web and Ontologies (4 papers), Information Retrieval and Search Behavior (3 papers), Data Management and Algorithms (3 papers) and Logic, Reasoning, and Knowledge (2 papers). The work is most often cited by research in Computer Science Applications (52 citations), Information Systems (210 citations), Artificial Intelligence (194 citations), Health (46 citations) and Information Systems and Management (35 citations). Scott B. Huffman has collaborated with scholars based in United States and Canada. Frequent co-authors include John E. Laird, Jane Li, Elizabeth Bacon, Ken Resnicow, Daniel M. Russell, Lawrence C. An, Sarah T. Hawley, David Steier, Rada Mihalcea and Randolph M. Jones. Their work appears in journals such as Journal of Intelligent Information Systems, Robotics and Autonomous Systems, Journal of Artificial Intelligence Research, Journal of Medical Internet Research and ACM SIGMOD Record.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026